William C. Comb
Impact in
- Aging top 5%
- Physiology top 2%
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 3
- Fibroblast Growth Factor Research 2
- Retinal Development and Disorders 2
-
- NF-κB Signaling Pathways 4
- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- David M. Sabatini (6 shared papers)Alejo Efeyan (1 shared paper)Liron Bar‐Peled (3 shared papers)Patricia C. Cogswell (3 shared papers)Kuang Shen (2 shared papers)Gregory A. Wyant (2 shared papers)Bernardo L. Sabatini (2 shared papers)Lynne Chantranupong (2 shared papers)
- Journals
- Science (2 papers)Clinical and Translational Gastroenterology (1 paper)Molecular Cancer Therapeutics (1 paper)Biochemical and Biophysical Research Communications (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
William C. Comb
16 papers receiving 2.1k citations
William C. Comb's Hit Papers
Peers
Comparison fields: 5 of 111
- Aging 87
- Physiology 160
- Biochemistry 218
- Cancer Research 317
- Cell Biology 323
Countries citing papers authored by William C. Comb
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
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-authors
The 25 scholars most cited alongside William C. Comb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Nutrient-sensing mechanisms and pathways Hit paper breakdown → | 2015 | 865 |
| 2 | Metabolism. Lysosomal amino acid transporter SLC38A9 signals arginine sufficiency to mTORC1. Hit paper breakdown → | 2015 | 642 |
| 3 | 2014 | 179 | |
| 4 | 2010 | 95 | |
| 5 | 2021 | 80 | |
| 6 | 2008 | 72 | |
| 7 | 2012 | 62 | |
| 8 | 2022 | 52 | |
| 9 | 2019 | 30 | |
| 10 | 2015 | 26 | |
| 11 | 2008 | 23 | |
| 12 | 2015 | 17 | |
| 13 | 2020 | 12 | |
| 14 | 2024 | 10 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 2 |
About William C. Comb
William C. Comb is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Oncology and Epidemiology, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (4 papers), Cellular transport and secretion (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Fibroblast Growth Factor Research (2 papers), Retinal Development and Disorders (2 papers), Autophagy in Disease and Therapy (2 papers), Immune Response and Inflammation (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Aging (87 citations), Physiology (160 citations), Biochemistry (218 citations), Cancer Research (317 citations) and Cell Biology (323 citations). William C. Comb has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include David M. Sabatini, Alejo Efeyan, Liron Bar‐Peled, Patricia C. Cogswell, Kuang Shen, Gregory A. Wyant, Bernardo L. Sabatini, Lynne Chantranupong, Rachel L. Wolfson and Zhi-Yang Tsun. Their work appears in journals such as Science, Clinical and Translational Gastroenterology, Molecular Cancer Therapeutics, Biochemical and Biophysical Research Communications and Oncogene.
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.