Tzuling Cheng

5.8k total citations · 3 hit papers
15 papers, 4.3k citations indexed

About

Tzuling Cheng is a scholar working on Molecular Biology, Cancer Research and Biotechnology. According to data from OpenAlex, Tzuling Cheng has authored 15 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cancer Research and 2 papers in Biotechnology. Recurrent topics in Tzuling Cheng's work include Cancer, Hypoxia, and Metabolism (7 papers), Cancer Research and Treatments (2 papers) and Mitochondrial Function and Pathology (2 papers). Tzuling Cheng is often cited by papers focused on Cancer, Hypoxia, and Metabolism (7 papers), Cancer Research and Treatments (2 papers) and Mitochondrial Function and Pathology (2 papers). Tzuling Cheng collaborates with scholars based in United States, Taiwan and Spain. Tzuling Cheng's co-authors include Ralph J. DeBerardinis, Eunsook S. Jin, Andrew R. Mullen, Michael A. White, William W. Wheaton, Lucas B. Sullivan, W. Marston Linehan, Pei-Hsuan Chen, Youfeng Yang and Navdeep S. Chandel and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Tzuling Cheng

14 papers receiving 4.2k citations

Hit Papers

Substrate and Functional Diversity of Lysine Acetylation ... 2006 2026 2012 2019 2006 2009 2011 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tzuling Cheng United States 10 3.1k 1.9k 603 526 437 15 4.3k
Yue Chen United States 29 4.2k 1.3× 894 0.5× 592 1.0× 588 1.1× 782 1.8× 118 5.6k
Oliver D.K. Maddocks United Kingdom 27 3.5k 1.1× 2.2k 1.1× 775 1.3× 371 0.7× 66 0.2× 42 4.9k
Maria Laura Avantaggiati United States 34 3.0k 1.0× 762 0.4× 1.5k 2.5× 900 1.7× 200 0.5× 64 4.5k
Mei Kong United States 25 2.2k 0.7× 1.2k 0.6× 558 0.9× 1.1k 2.0× 90 0.2× 42 3.4k
Jason R. Cantor United States 19 2.5k 0.8× 1.2k 0.6× 467 0.8× 299 0.6× 57 0.1× 27 3.6k
Arjan B. Brenkman Netherlands 31 2.4k 0.8× 441 0.2× 708 1.2× 318 0.6× 128 0.3× 45 3.8k
Sybille Mazurek Germany 24 2.3k 0.7× 1.8k 1.0× 537 0.9× 330 0.6× 43 0.1× 45 3.4k
Kei Tobiume Japan 22 3.2k 1.0× 804 0.4× 720 1.2× 684 1.3× 85 0.2× 45 4.6k
Petra Beli Germany 32 3.8k 1.2× 475 0.2× 907 1.5× 804 1.5× 149 0.3× 71 4.7k
E. Eigenbrodt Germany 38 2.9k 0.9× 2.1k 1.1× 780 1.3× 397 0.8× 42 0.1× 93 4.3k

Countries citing papers authored by Tzuling Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Tzuling Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tzuling Cheng

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

All Works

15 of 15 papers shown
1.
Ghasemi, Mohammad, Ji Yun Kim, Lisa Seitz, et al.. (2025). Pharmacokinetics, pharmacodynamics and safety of casdatifan, a novel hypoxia‐inducible factor‐2α inhibitor, in healthy participants. British Journal of Clinical Pharmacology. 91(12). 3366–3377.
2.
Choueiri, Toni K., Elaine Paterson, Mohammad Ghasemi, et al.. (2023). ARC-20: A phase 1 dose-escalation and dose-expansion study to investigate the safety, tolerability, and pharmacology of HIF-2α inhibitor AB521 monotherapy in patients with clear cell renal cell carcinoma and other solid tumors.. Journal of Clinical Oncology. 41(16_suppl). TPS4602–TPS4602. 2 indexed citations
3.
Cho, Soonweng, Kenneth V. Lawson, Kin Liao, et al.. (2023). Abstract A002: Targeting hypoxia inducible factor (HIF)-2α with AB521, a novel and potent small molecule HIF-2α inhibitor, for the treatment of clear cell renal cell carcinoma. Cancer Research. 83(16_Supplement). A002–A002. 2 indexed citations
4.
Sheu, Shiann‐Tsong, et al.. (2021). Listen Before Receive (LBR) Assisted Network Access in LAA and WiFi Heterogeneous Networks. IEEE Access. 9. 43845–43861. 3 indexed citations
5.
Martin, Leenus, Tzuling Cheng, Dominic I. James, et al.. (2018). Abstract 1943: PARG inhibitors exhibit synthetic lethality with XRCC1 deficiency and a cellular mechanism of action that is distinct from PARP inhibition. Cancer Research. 78(13_Supplement). 1943–1943. 4 indexed citations
6.
Martín‐Rufián, Mercedes, Amanda Rabello Crisma, José A. Campos‐Sandoval, et al.. (2013). Both GLS silencing and GLS2 overexpression synergize with oxidative stress against proliferation of glioma cells. Journal of Molecular Medicine. 92(3). 277–290. 78 indexed citations
7.
Ou, Yi-Hung, Michael J. Torres, Rosalyn Ram, et al.. (2011). TBK1 Directly Engages Akt/PKB Survival Signaling to Support Oncogenic Transformation. Molecular Cell. 41(4). 458–470. 174 indexed citations
8.
Bodemann, Brian O., Anthony Orvedahl, Tzuling Cheng, et al.. (2011). RalB and the Exocyst Mediate the Cellular Starvation Response by Direct Activation of Autophagosome Assembly. Cell. 144(2). 253–267. 255 indexed citations
9.
Mullen, Andrew R., William W. Wheaton, Eunsook S. Jin, et al.. (2011). Reductive carboxylation supports growth in tumour cells with defective mitochondria. Nature. 481(7381). 385–388. 1004 indexed citations breakdown →
10.
Cheng, Tzuling, Jessica Sudderth, Chendong Yang, et al.. (2011). Pyruvate carboxylase is required for glutamine-independent growth of tumor cells. Proceedings of the National Academy of Sciences. 108(21). 8674–8679. 375 indexed citations
11.
Komurov, Kakajan, David Padrón, Tzuling Cheng, et al.. (2010). Comprehensive Mapping of the Human Kinome to Epidermal Growth Factor Receptor Signaling. Journal of Biological Chemistry. 285(27). 21134–21142. 27 indexed citations
12.
DeBerardinis, Ralph J. & Tzuling Cheng. (2009). Q's next: the diverse functions of glutamine in metabolism, cell biology and cancer. Oncogene. 29(3). 313–324. 1042 indexed citations breakdown →
13.
Kim, Sung Chan, Robert W. Sprung, Yue Chen, et al.. (2006). Substrate and Functional Diversity of Lysine Acetylation Revealed by a Proteomics Survey. Molecular Cell. 23(4). 607–618. 1233 indexed citations breakdown →
14.
Cheng, Tzuling, Marc Symons, & Tzuu‐Shuh Jou. (2004). Regulation of anoikis by Cdc42 and Rac1. Experimental Cell Research. 295(2). 497–511. 51 indexed citations
15.
Lai, Jen-Feng, Shin‐Hun Juang, Hsin‐Yuan Cheng, et al.. (2003). An ecdysone and tetracycline dual regulatory expression system for studies on Rac1 small GTPase-mediated signaling. American Journal of Physiology-Cell Physiology. 285(3). C711–C719. 22 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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