William C. Comb

2.7k total citations · 2 hit papers
16 papers, 2.1k citations indexed

About

William C. Comb is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, William C. Comb has authored 16 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Cell Biology. Recurrent topics in William C. Comb's work include NF-κB Signaling Pathways (4 papers), Cellular transport and secretion (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). William C. Comb is often cited by papers focused on NF-κB Signaling Pathways (4 papers), Cellular transport and secretion (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). William C. Comb collaborates with scholars based in United States, Australia and Singapore. William C. Comb's co-authors include David M. Sabatini, Alejo Efeyan, Liron Bar‐Peled, Patricia C. Cogswell, Molly Plovanich, Bernardo L. Sabatini, Rachel L. Wolfson, Lynne Chantranupong, Roberto Zoncu and Gregory A. Wyant and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

William C. Comb

16 papers receiving 2.1k citations

Hit Papers

Nutrient-sensing mechanisms and pathways 2015 2026 2018 2022 2015 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
William C. Comb United States 12 1.2k 394 334 332 289 16 2.1k
Sonia M. Scaria United States 8 2.1k 1.7× 448 1.1× 622 1.9× 316 1.0× 396 1.4× 12 2.9k
Mitsugu Shimobayashi Switzerland 13 1.5k 1.3× 478 1.2× 318 1.0× 290 0.9× 420 1.5× 20 2.3k
Stephen G. Dann United States 16 1.8k 1.5× 322 0.8× 410 1.2× 220 0.7× 434 1.5× 20 2.6k
Jeffrey A. Porter United States 9 1.2k 1.0× 240 0.6× 247 0.7× 422 1.3× 193 0.7× 10 1.8k
Pankuri Goraksha-Hicks United States 8 1.5k 1.3× 542 1.4× 378 1.1× 366 1.1× 331 1.1× 9 2.5k
Elaine A. Dunlop United Kingdom 18 1.3k 1.1× 629 1.6× 310 0.9× 185 0.6× 296 1.0× 28 2.0k
Xin Gu United States 21 1.5k 1.3× 211 0.5× 273 0.8× 208 0.6× 228 0.8× 34 2.1k
Pawan Gulati United Kingdom 14 1.7k 1.4× 337 0.9× 318 1.0× 313 0.9× 286 1.0× 14 2.2k
Yimin Fang United States 24 1.7k 1.4× 290 0.7× 379 1.1× 208 0.6× 765 2.6× 59 2.8k
Kazuyuki Kitatani Japan 29 2.1k 1.7× 304 0.8× 641 1.9× 191 0.6× 735 2.5× 76 2.9k

Countries citing papers authored by William C. Comb

Since Specialization
Citations

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

Fields of papers citing papers by William C. Comb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William C. Comb. 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 William C. Comb. The network helps show where William C. Comb may publish in the future.

Co-authorship network of co-authors of William C. Comb

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

All Works

16 of 16 papers shown
1.
Gera, Nimish, Vijay Ramesh, Deepak Kanojia, et al.. (2024). MYTX-011: A pH-Dependent Anti–c-MET Antibody–Drug Conjugate Designed for Enhanced Payload Delivery to c-MET–Expressing Tumor Cells. Molecular Cancer Therapeutics. 23(9). 1282–1293. 8 indexed citations
2.
Spira, Alexander I., Melissa L. Johnson, George R. Blumenschein, et al.. (2023). Phase 1 multicenter dose escalation and dose expansion study of antibody-drug conjugate (ADC) MYTX-011 in subjects with non-small cell lung cancer.. Journal of Clinical Oncology. 41(16_suppl). TPS9147–TPS9147. 2 indexed citations
3.
Gera, Nimish, Vijay Ramesh, Purvi Patel, et al.. (2023). Abstract 5000: MYTX-011: A novel cMET-targeting antibody drug conjugate (ADC) engineered to increase on-target uptake in and efficacy against cMET expressing tumors. Cancer Research. 83(7_Supplement). 5000–5000. 4 indexed citations
4.
Cangelosi, Andrew L., Anna M. Puszynska, Justin M. Roberts, et al.. (2022). Zonated leucine sensing by Sestrin-mTORC1 in the liver controls the response to dietary leucine. Science. 377(6601). 47–56. 49 indexed citations
5.
Gauthier-Coles, Gregory, et al.. (2021). Quantitative modelling of amino acid transport and homeostasis in mammalian cells. Nature Communications. 12(1). 5282–5282. 76 indexed citations
6.
Chakravarthy, Manu V., Joel Neutel, Peng Zhao, et al.. (2020). Safety, Tolerability, and Physiological Effects of AXA1665, a Novel Composition of Amino Acids, in Subjects With Child–Pugh A and B Cirrhosis. Clinical and Translational Gastroenterology. 11(8). e00222–e00222. 11 indexed citations
7.
Holloway, Tanya M., Chris McGlory, Sean McKellar, et al.. (2019). A Novel Amino Acid Composition Ameliorates Short-Term Muscle Disuse Atrophy in Healthy Young Men. Frontiers in Nutrition. 6. 105–105. 28 indexed citations
8.
Tsun, Zhi-Yang, Rachel L. Wolfson, Kuang Shen, et al.. (2015). Lysosomal amino acid transporter SLC38A9 signals arginine sufficiency to mTORC1. Science. 347(6218). 188–194. 17 indexed citations
9.
Efeyan, Alejo, William C. Comb, & David M. Sabatini. (2015). Nutrient-sensing mechanisms and pathways. Nature. 517(7534). 302–310. 825 indexed citations breakdown →
10.
Schweitzer, Lawrence D., William C. Comb, Liron Bar‐Peled, & David M. Sabatini. (2015). Disruption of the Rag-Ragulator Complex by c17orf59 Inhibits mTORC1. Cell Reports. 12(9). 1445–1455. 26 indexed citations
11.
Wang, Shuyu, Zhi-Yang Tsun, Rachel L. Wolfson, et al.. (2015). Metabolism. Lysosomal amino acid transporter SLC38A9 signals arginine sufficiency to mTORC1.. PubMed. 347(6218). 188–94. 618 indexed citations breakdown →
12.
Shaul, Yoav D., Elizaveta Freinkman, William C. Comb, et al.. (2014). Dihydropyrimidine Accumulation Is Required for the Epithelial-Mesenchymal Transition. Cell. 158(5). 1094–1109. 172 indexed citations
13.
Comb, William C., Jessica E. Hutti, Patricia C. Cogswell, Lewis C. Cantley, & A S Baldwin. (2012). p85α SH2 Domain Phosphorylation by IKK Promotes Feedback Inhibition of PI3K and Akt in Response to Cellular Starvation. Molecular Cell. 45(6). 719–730. 60 indexed citations
14.
Comb, William C., Patricia C. Cogswell, Raquel Sitcheran, & Albert S. Baldwin. (2010). IKK-dependent, NF-κB-independent control of autophagic gene expression. Oncogene. 30(14). 1727–1732. 89 indexed citations
15.
Comb, William C., et al.. (2008). Intermolecular disulfide bond formation in the NEMO dimer requires Cys54 and Cys347. Biochemical and Biophysical Research Communications. 367(1). 103–108. 67 indexed citations
16.
Sitcheran, Raquel, William C. Comb, Patricia C. Cogswell, & Albert S. Baldwin. (2008). Essential Role for Epidermal Growth Factor Receptor in Glutamate Receptor Signaling to NF-κB. Molecular and Cellular Biology. 28(16). 5061–5070. 23 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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