David M. Feldser
Impact in
- Cancer Research top 0.05%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Molecular Biology top 0.5%
- RNA modifications and cancer
- RNA Research and Splicing
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
Papers in
- Aging 2
-
- Cancer, Hypoxia, and Metabolism 7
- Cancer-related molecular mechanisms research 5
- Co-authors
- Tyler JacksGregg L. SemenzaCarol W. GreiderIdo AmitEric S. LanderMitchell GuttmanMaite HuarteManuel Garber
- Journals
- Nature (5 papers)Cell (4 papers)Nature Communications (3 papers)Proceedings of the National Academy of Sciences (3 papers)Cancer Research (2 papers)
- Partner nations
- United StatesAustriaJapan
In The Last Decade
David M. Feldser
40 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Cancer Research 6.9k
- Molecular Biology 8.1k
- Aging 165
- Oncology 1.8k
- Endocrinology 222
Countries citing papers authored by David M. Feldser
This map shows the geographic impact of David M. Feldser'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 David M. Feldser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Feldser more than expected).
Fields of papers citing papers by David M. Feldser
This network shows the impact of papers produced by David M. Feldser. 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 David M. Feldser. The network helps show where David M. Feldser may publish in the future.
Co-authors
The 25 scholars most cited alongside David M. Feldser, 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 | 2025 | 0 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 12 | |
| 6 | 2021 | 34 | |
| 7 | 2021 | 5 | |
| 8 | 2020 | 127 | |
| 9 | 2020 | 66 | |
| 10 | 2020 | 146 | |
| 11 | Copper is an essential regulator of the autophagic kinases ULK1/2 to drive lung adenocarcinoma Hit paper breakdown → | 2020 | 268 |
| 12 | 2019 | 16 | |
| 13 | 2017 | 102 | |
| 14 | 2015 | 24 | |
| 15 | 2011 | 109 | |
| 16 | 2011 | 317 | |
| 17 | 2009 | 58 | |
| 18 | 2006 | 159 | |
| 19 | 2005 | 235 | |
| 20 | 2001 | 4 |
About David M. Feldser
David M. Feldser is a scholar working on Aging, Cancer Research, Molecular Biology, Biotechnology and Oncology, having authored 42 papers that have together received 11.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Cancer, Hypoxia, and Metabolism (7 papers), RNA modifications and cancer (7 papers), Ubiquitin and proteasome pathways (5 papers), Telomeres, Telomerase, and Senescence (5 papers), Cancer-related molecular mechanisms research (5 papers), DNA Repair Mechanisms (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Cancer Research (6.9k citations), Molecular Biology (8.1k citations), Aging (165 citations), Oncology (1.8k citations) and Endocrinology (222 citations). David M. Feldser has collaborated with scholars based in United States, Austria and Japan. Frequent co-authors include Tyler Jacks, Gregg L. Semenza, Carol W. Greider, Ido Amit, Eric S. Lander, Mitchell Guttman, Maite Huarte, Manuel Garber, Aviv Regev and Or Zuk. Their work appears in journals such as Nature, Cell, Nature Communications, Proceedings of the National Academy of Sciences and Cancer Research.
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.