Zhongge Zhang

6.3k total citations · 3 hit papers
50 papers, 4.1k citations indexed

About

Zhongge Zhang is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Zhongge Zhang has authored 50 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Genetics, 32 papers in Molecular Biology and 7 papers in Ecology. Recurrent topics in Zhongge Zhang's work include Bacterial Genetics and Biotechnology (35 papers), RNA and protein synthesis mechanisms (13 papers) and Bacteriophages and microbial interactions (7 papers). Zhongge Zhang is often cited by papers focused on Bacterial Genetics and Biotechnology (35 papers), RNA and protein synthesis mechanisms (13 papers) and Bacteriophages and microbial interactions (7 papers). Zhongge Zhang collaborates with scholars based in United States, China and Germany. Zhongge Zhang's co-authors include Terence Hwa, Milton H. Saier, Carl W. Gunderson, Matthew P. Scott, Stefan Klumpp, Hiroyuki Okano, Thomas E. Kuhlman, Sheng Hui, Erel Levine and Markus Basan and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Zhongge Zhang

48 papers receiving 4.1k citations

Hit Papers

Interdependence of Cell Growth and Gene Expression: Origi... 2009 2026 2014 2020 2010 2009 2015 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zhongge Zhang United States 22 3.3k 1.9k 529 367 250 50 4.1k
Daniel Wall United States 39 3.2k 1.0× 1.2k 0.6× 644 1.2× 320 0.9× 569 2.3× 85 4.6k
Johannes Geiselmann France 31 2.4k 0.7× 1.2k 0.6× 399 0.8× 138 0.4× 290 1.2× 63 3.0k
Ariel B. Lindner France 26 2.4k 0.7× 869 0.5× 493 0.9× 259 0.7× 158 0.6× 56 3.1k
Anat Bren Israel 23 2.0k 0.6× 1.2k 0.6× 268 0.5× 235 0.6× 156 0.6× 31 2.5k
Balázs Papp Hungary 41 5.0k 1.5× 1.9k 1.0× 476 0.9× 428 1.2× 143 0.6× 84 6.5k
Deborah A. Siegele United States 23 2.6k 0.8× 1.7k 0.9× 972 1.8× 138 0.4× 384 1.5× 41 3.7k
Haeyoung Jeong South Korea 29 2.2k 0.7× 1.0k 0.5× 600 1.1× 414 1.1× 179 0.7× 111 3.5k
Remy Chait United States 17 2.6k 0.8× 2.3k 1.2× 642 1.2× 464 1.3× 407 1.6× 22 4.8k
B G Hall United States 26 2.3k 0.7× 1.3k 0.7× 394 0.7× 162 0.4× 182 0.7× 57 3.6k
Chikara Furusawa Japan 40 4.1k 1.2× 1.0k 0.5× 221 0.4× 1.0k 2.8× 57 0.2× 162 5.2k

Countries citing papers authored by Zhongge Zhang

Since Specialization
Citations

This map shows the geographic impact of Zhongge Zhang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zhongge Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongge Zhang more than expected).

Fields of papers citing papers by Zhongge Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhongge Zhang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zhongge Zhang. The network helps show where Zhongge Zhang may publish in the future.

Co-authorship network of co-authors of Zhongge Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongge Zhang. A scholar is included among the top collaborators of Zhongge Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhongge Zhang. Zhongge Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Zhongge, et al.. (2025). Transcriptional mechanism by which IS5 activates the fucAO operon in Escherichia coli. Nucleic Acids Research. 53(5). 1 indexed citations
2.
Luo, Lin, Yanling Wang, Rui Zhu, et al.. (2025). Predictors of depression among Chinese college students: a machine learning approach. BMC Public Health. 25(1). 470–470. 4 indexed citations
3.
Zhang, Zhongge, et al.. (2024). Investigating How Genomic Contexts Impact IS5 Transposition Within the Escherichia coli Genome. Microorganisms. 12(12). 2600–2600. 2 indexed citations
4.
Zhang, Zhongge, et al.. (2024). Comprehensive Characterization of fucAO Operon Activation in Escherichia coli. International Journal of Molecular Sciences. 25(7). 3946–3946. 4 indexed citations
5.
Rodionova, Irina A., Ye Gao, Jonathan M. Monk, et al.. (2022). A systems approach discovers the role and characteristics of seven LysR type transcription factors in Escherichia coli. Scientific Reports. 12(1). 14 indexed citations
6.
Balakrishnan, Rohan, Matteo Mori, Igor Šegota, et al.. (2022). Principles of gene regulation quantitatively connect DNA to RNA and proteins in bacteria. Science. 378(6624). eabk2066–eabk2066. 72 indexed citations
7.
Balakrishnan, Rohan, et al.. (2022). Cellular perception of growth rate and the mechanistic origin of bacterial growth law. Proceedings of the National Academy of Sciences. 119(20). e2201585119–e2201585119. 49 indexed citations
8.
Honda, Tomoya, Jonas Cremer, Leonardo Mancini, et al.. (2022). Coordination of gene expression with cell size enables Escherichia coli to efficiently maintain motility across conditions. Proceedings of the National Academy of Sciences. 119(37). e2110342119–e2110342119. 15 indexed citations
10.
Mori, Matteo, Zhongge Zhang, Amir Banaei‐Esfahani, et al.. (2021). From coarse to fine: the absolute Escherichia coli proteome under diverse growth conditions. Molecular Systems Biology. 17(5). e9536–e9536. 79 indexed citations
12.
Rodionova, Irina A., et al.. (2019). A Riboflavin Transporter in <b><i>Bdellovibrio exovorous</i></b> JSS. Microbial Physiology. 29(1-6). 27–34. 3 indexed citations
13.
Basan, Markus, Sheng Hui, Hiroyuki Okano, et al.. (2015). Overflow metabolism in Escherichia coli results from efficient proteome allocation. Nature. 528(7580). 99–104. 485 indexed citations breakdown →
14.
Chen, Huayou, Rui Tian, Zhong Ni, et al.. (2014). Conformational Transition Pathway in the Inhibitor Binding Process of Human Monoacylglycerol Lipase. The Protein Journal. 33(6). 503–511. 5 indexed citations
15.
Kim, Minsu, Zhongge Zhang, Hiroyuki Okano, et al.. (2013). The Innate Growth Bistability and Fitness Landscapes of Antibiotic-Resistant Bacteria. Science. 342(6162). 1237435–1237435. 142 indexed citations
16.
Chan, Henry Lik‐Yuen, et al.. (2012). Genetic Engineering of the Phosphocarrier Protein NPr of the Escherichia coli Phosphotransferase System Selectively Improves Sugar Uptake Activity. Journal of Biological Chemistry. 287(35). 29931–29939. 4 indexed citations
17.
Scott, Matthew P., et al.. (2010). Interdependence of Cell Growth and Gene Expression: Origins and Consequences. Science. 330(6007). 1099–1102. 972 indexed citations breakdown →
18.
Klumpp, Stefan, Zhongge Zhang, & Terence Hwa. (2009). Growth Rate-Dependent Global Effects on Gene Expression in Bacteria. Cell. 139(7). 1366–1375. 500 indexed citations breakdown →
19.
Kuhlman, Thomas E., Zhongge Zhang, Milton H. Saier, & Terence Hwa. (2007). Combinatorial transcriptional control of the lactose operon of Escherichia coli. Proceedings of the National Academy of Sciences. 104(14). 6043–6048. 179 indexed citations
20.
Zhang, Zhongge, Jérôme N. Feige, Anne B. Chang, et al.. (2003). A transporter of Escherichia coli specific for l- and d-methionine is the prototype for a new family within the ABC superfamily. Archives of Microbiology. 180(2). 88–100. 52 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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