Tongli Zhang

1.4k total citations
43 papers, 1.0k citations indexed

About

Tongli Zhang is a scholar working on Molecular Biology, Cell Biology and Computational Theory and Mathematics. According to data from OpenAlex, Tongli Zhang has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 14 papers in Cell Biology and 9 papers in Computational Theory and Mathematics. Recurrent topics in Tongli Zhang's work include Microtubule and mitosis dynamics (12 papers), Genomics and Chromatin Dynamics (7 papers) and Computational Drug Discovery Methods (7 papers). Tongli Zhang is often cited by papers focused on Microtubule and mitosis dynamics (12 papers), Genomics and Chromatin Dynamics (7 papers) and Computational Drug Discovery Methods (7 papers). Tongli Zhang collaborates with scholars based in United States, United Kingdom and China. Tongli Zhang's co-authors include John J. Tyson, Paul Brazhnik, Béla Novák, Chris Bakal, Alexis R. Barr, Frank S. Heldt, James Holder, Heba Sailem, Ricardo Bastos and Julia Sero and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Nature Cell Biology.

In The Last Decade

Tongli Zhang

41 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tongli Zhang United States	16	692	351	236	77	71	43	1.0k
Stefan Legewie Germany	23	1.3k 1.9×	196 0.6×	143 0.6×	102 1.3×	87 1.2×	44	1.6k
Zhike Zi Germany	16	852 1.2×	106 0.3×	163 0.7×	64 0.8×	52 0.7×	33	1.2k
Dénes Türei Germany	17	1.5k 2.1×	143 0.4×	180 0.8×	169 2.2×	46 0.6×	25	2.1k
Iman Tavassoly United States	15	500 0.7×	196 0.6×	102 0.4×	36 0.5×	23 0.3×	25	920
Johann M. Kraus Germany	21	734 1.1×	120 0.3×	278 1.2×	22 0.3×	32 0.5×	55	1.5k
Shannon M. Mumenthaler United States	21	593 0.9×	154 0.4×	439 1.9×	39 0.5×	12 0.2×	68	1.4k
Thomas Westerling United States	15	623 0.9×	98 0.3×	345 1.5×	13 0.2×	115 1.6×	20	1.1k
Michael Pargett United States	15	482 0.7×	109 0.3×	66 0.3×	27 0.4×	26 0.4×	27	654
Mariko Hatakeyama Japan	17	1.0k 1.5×	77 0.2×	232 1.0×	121 1.6×	20 0.3×	42	1.3k
Jorge Gómez Tejeda Zañudo United States	16	784 1.1×	82 0.2×	353 1.5×	105 1.4×	57 0.8×	29	1.2k

Countries citing papers authored by Tongli Zhang

Since Specialization

Citations

This map shows the geographic impact of Tongli 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 Tongli Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tongli Zhang more than expected).

Fields of papers citing papers by Tongli Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tongli 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 Tongli Zhang. The network helps show where Tongli Zhang may publish in the future.

Co-authorship network of co-authors of Tongli Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Tongli Zhang. A scholar is included among the top collaborators of Tongli 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 Tongli Zhang. Tongli Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Tongli. (2025). Integrating QSP and ML to Facilitate Drug Development and Personalized Medicine. Handbook of experimental pharmacology. 289. 165–185. 1 indexed citations

Zhang, Tongli, et al.. (2025). Practical Perspectives on Enhancing Predictive Modeling for Drug Development. Current Pharmacology Reports. 11(1).

Sheng, Jennifer & Tongli Zhang. (2025). Advancing drug development with “Fit-for-Purpose” modeling informed approaches. Journal of Pharmacokinetics and Pharmacodynamics. 52(5). 52–52. 2 indexed citations

Nelson, Erik J., et al.. (2024). Applying neural ordinary differential equations for analysis of hormone dynamics in Trier Social Stress Tests. Frontiers in Genetics. 15. 1375468–1375468. 1 indexed citations

Engevik, Kristen A., et al.. (2020). Extracting Insights From Temporal Data by Integrating Dynamic Modeling and Machine Learning. Frontiers in Physiology. 11. 1012–1012. 5 indexed citations

Zhang, Yin, et al.. (2019). Designing combination therapies with modeling chaperoned machine learning. PLoS Computational Biology. 15(9). e1007158–e1007158. 9 indexed citations

Aihara, Eitaro, Andrea L. Matthis, Kristen A. Engevik, et al.. (2018). Actin polymerization triggers gastric epithelial repair of damage. The FASEB Journal. 32(S1). 1 indexed citations

Lee, Suengwon, Xiaonan Han, Philip K. Maini, et al.. (2018). Unraveling the Control of Cell Cycle Periods during Intestinal Stem Cell Differentiation. Biophysical Journal. 115(11). 2250–2258. 8 indexed citations

Shen, Peiping, Tongli Zhang, & Chunfeng Wang. (2017). Solving a class of generalized fractional programming problems using the feasibility of linear programs. Journal of Inequalities and Applications. 2017(1). 147–147. 20 indexed citations

10.

Zhang, Tongli, et al.. (2017). A mathematical model of a recombinant humanized anti-cocaine monoclonal antibody's effects on cocaine pharmacokinetics in mice. Life Sciences. 184. 81–86. 4 indexed citations

11.

Kühn, Alexander, et al.. (2017). Multiscale positive feedbacks contribute to unidirectional gastric disease progression induced by helicobacter pylori infection. BMC Systems Biology. 11(1). 111–111. 5 indexed citations

12.

Liu, Junbo, Yanyu Xiao, Tongli Zhang, & Jun Ma. (2016). Time to move on: Modeling transcription dynamics during an embryonic transition away from maternal control. Fly. 10(3). 101–107. 2 indexed citations

13.

Matsuura, Toru, Andrey Dovzhenok, Eitaro Aihara, et al.. (2016). Intercellular Coupling of the Cell Cycle and Circadian Clock in Adult Stem Cell Culture. Molecular Cell. 64(5). 900–912. 86 indexed citations

14.

Zhang, Tongli, John J. Tyson, & Béla Novák. (2013). Role for regulated phosphatase activity in generating mitotic oscillations in Xenopus cell-free extracts. Proceedings of the National Academy of Sciences. 110(51). 20539–20544. 5 indexed citations

15.

Zhang, Tongli, Raquel A. Oliveira, Bernhard Schmierer, & Béla Novák. (2013). Dynamical Scenarios for Chromosome Bi-orientation. Biophysical Journal. 104(12). 2595–2606. 12 indexed citations

16.

Bastos, Ricardo, Tongli Zhang, James Holder, et al.. (2013). The BEG (PP2A-B55/ENSA/Greatwall) Pathway Ensures Cytokinesis follows Chromosome Separation. Molecular Cell. 52(3). 393–405. 121 indexed citations

17.

Vinod, P. K., Xin Zhou, Tongli Zhang, Thomas U. Mayer, & Béla Novák. (2013). The role of APC/C inhibitor Emi2/XErp1 in oscillatory dynamics of early embryonic cell cycles. Biophysical Chemistry. 177-178. 1–6. 14 indexed citations

18.

Zhang, Tongli, Bernhard Schmierer, & Béla Novák. (2011). Cell cycle commitment in budding yeast emerges from the cooperation of multiple bistable switches. Open Biology. 1(3). 110009–110009. 12 indexed citations

19.

Zhang, Tongli, Paul Brazhnik, & John J. Tyson. (2009). Computational Analysis of Dynamical Responses to the Intrinsic Pathway of Programmed Cell Death. Biophysical Journal. 97(2). 415–434. 73 indexed citations

20.

Zhang, Tongli, Paul Brazhnik, & John J. Tyson. (2007). Exploring Mechanisms of the DNA-Damage Response: p53 Pulses and their Possible Relevance to Apoptosis. Cell Cycle. 6(1). 85–94. 112 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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