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h5 指数:33
h5 中位数:42

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#16 Bioinformatics & Computational Biology

标题/作者	引用次数	年份
A systematic survey of centrality measures for protein-protein interaction networks M Ashtiani, A Salehzadeh-Yazdi, Z Razaghi-Moghadam, H Hennig, ... BMC Systems Biology 12 (1), 1-17	143	2018
70ProPred: a predictor for discovering sigma70 promoters based on combining multiple features W He, C Jia, Y Duan, Q Zou BMC Systems Biology 12, 99-107	76	2018
Bayesian uncertainty analysis for complex systems biology models: emulation, global parameter searches and evaluation of gene functions I Vernon, J Liu, M Goldstein, J Rowe, J Topping, K Lindsey BMC Systems Biology 12 (1), 1-29	74	2018
Predicting and understanding comprehensive drug-drug interactions via semi-nonnegative matrix factorization H Yu, KT Mao, JY Shi, H Huang, Z Chen, K Dong, SM Yiu BMC Systems Biology 12 (1), 101-110	70	2018
Meta-analysis of human gene expression in response to Mycobacterium tuberculosis infection reveals potential therapeutic targets Z Wang, S Arat, M Magid-Slav, JR Brown BMC Systems Biology 12 (1), 1-18	63	2018
SCNS: a graphical tool for reconstructing executable regulatory networks from single-cell genomic data S Woodhouse, N Piterman, CM Wintersteiger, B Göttgens, J Fisher BMC Systems Biology 12, 1-7	63	2018
Hierarchical combinatorial deep learning architecture for pancreas segmentation of medical computed tomography cancer images M Fu, W Wu, X Hong, Q Liu, J Jiang, Y Ou, Y Zhao, X Gong BMC Systems Biology 12, 119-127	60	2018
Genome-scale model-driven strain design for dicarboxylic acid production in Yarrowia lipolytica P Mishra, NR Lee, M Lakshmanan, M Kim, BG Kim, DY Lee BMC Systems Biology 12 (2), 9-20	58	2018
In silico drug combination discovery for personalized cancer therapy M Jeon, S Kim, S Park, H Lee, J Kang BMC Systems Biology 12 (2), 59-67	56	2018
SWIFOLD: Smith-Waterman implementation on FPGA with OpenCL for long DNA sequences E Rucci, C Garcia, G Botella, A De Giusti, M Naiouf, M Prieto-Matias BMC Systems Biology 12 (5), 43-53	53	2018
GNE: a deep learning framework for gene network inference by aggregating biological information K KC, R Li, F Cui, Q Yu, AR Haake BMC Systems Biology 13 (2), 1-14	51	2019
Updated and standardized genome-scale reconstruction of Mycobacterium tuberculosis H37Rv, iEK1011, simulates flux states indicative of physiological conditions ES Kavvas, Y Seif, JT Yurkovich, C Norsigian, S Poudel, WW Greenwald, ... BMC Systems Biology 12 (1), 1-15	49	2018
Improving the measurement of semantic similarity by combining gene ontology and co-functional network: a random walk based approach J Peng, X Zhang, W Hui, J Lu, Q Li, S Liu, X Shang BMC Systems Biology 12 (2), 109-116	49	2018
Escher-FBA: a web application for interactive flux balance analysis E Rowe, BO Palsson, ZA King BMC Systems Biology 12, 1-7	45	2018
GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization HIH Chen, YC Chiu, T Zhang, S Zhang, Y Huang, Y Chen BMC Systems Biology 12 (8), 45-57	44	2018
Sex differences in hepatic one-carbon metabolism F Sadre-Marandi, T Dahdoul, MC Reed, HF Nijhout BMC Systems Biology 12 (1), 1-13	43	2018
An interpretable boosting model to predict side effects of analgesics for osteoarthritis L Liu, Y Yu, Z Fei, M Li, FX Wu, HD Li, Y Pan, J Wang BMC Systems Biology 12 (6), 29-38	42	2018
SLIMEr: probing flexibility of lipid metabolism in yeast with an improved constraint-based modeling framework BJ Sánchez, F Li, EJ Kerkhoven, J Nielsen BMC Systems Biology 13 (1), 1-9	41	2019
Mechanistic insight into activation of MAPK signaling by pro-angiogenic factors M Song, SD Finley BMC Systems Biology 12, 1-17	41	2018
Multi-omics integration reveals molecular networks and regulators of psoriasis Y Zhao, D Jhamb, L Shu, D Arneson, DK Rajpal, X Yang BMC Systems Biology 13, 1-14	40	2019

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