Samuel Long
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 2%
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- Polyamine Metabolism and Applications
- Metabolism, Diabetes, and Cancer
Papers in
- Virology 5
- HIV Research and Treatment 5
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- PI3K/AKT/mTOR signaling in cancer 8
- Protein Kinase Regulation and GTPase Signaling 3
- CRISPR and Genetic Engineering 2
- Molecular Biology Techniques and Applications 2
- Co-authors
- Joseph Avruch (10 shared papers)Sara Ortiz-Vega (7 shared papers)Kazuyoshi Yonezawa (2 shared papers)Yenshou Lin (5 shared papers)Kenta Hara (2 shared papers)Noriko Oshiro (2 shared papers)Ken-ichi Yoshino (1 shared paper)Chiharu Tokunaga (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Methods (3 papers)Journal of Virology (2 papers)Current Biology (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesJapanItaly
In The Last Decade
Samuel Long
26 papers receiving 4.2k citations
Samuel Long's Hit Papers
Peers
Comparison fields: 5 of 107
- Aging 264
- Molecular Biology 3.1k
- Cell Biology 593
- Physiology 105
- Geriatrics and Gerontology 61
Countries citing papers authored by Samuel Long
This map shows the geographic impact of Samuel Long'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 Samuel Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Long more than expected).
Fields of papers citing papers by Samuel Long
This network shows the impact of papers produced by Samuel Long. 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 Samuel Long. The network helps show where Samuel Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel Long, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Raptor, a Binding Partner of Target of Rapamycin (TOR), Mediates TOR Action Hit paper breakdown → | 2002 | 1528 |
| 2 | Rheb Binds and Regulates the mTOR Kinase Hit paper breakdown → | 2005 | 822 |
| 3 | 2008 | 323 | |
| 4 | 2005 | 293 | |
| 5 | 1997 | 270 | |
| 6 | 2006 | 269 | |
| 7 | 2002 | 235 | |
| 8 | 2004 | 81 | |
| 9 | 2009 | 60 | |
| 10 | 2004 | 60 | |
| 11 | 2000 | 46 | |
| 12 | 2004 | 43 | |
| 13 | 2007 | 37 | |
| 14 | 2008 | 29 | |
| 15 | 2011 | 29 | |
| 16 | 2019 | 28 | |
| 17 | 2021 | 17 | |
| 18 | 1984 | 15 | |
| 19 | 2016 | 13 | |
| 20 | 2020 | 12 |
About Samuel Long
Samuel Long is a scholar working on Virology, Molecular Biology, Toxicology, Infectious Diseases and Pathology and Forensic Medicine, having authored 26 papers that have together received 4.3k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (8 papers), HIV Research and Treatment (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), CRISPR and Genetic Engineering (2 papers), HIV/AIDS drug development and treatment (2 papers), Molecular Biology Techniques and Applications (2 papers) and Cardiac Ischemia and Reperfusion (2 papers). The work is most often cited by research in Aging (264 citations), Molecular Biology (3.1k citations), Cell Biology (593 citations), Physiology (105 citations) and Geriatrics and Gerontology (61 citations). Samuel Long has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Joseph Avruch, Sara Ortiz-Vega, Kazuyoshi Yonezawa, Yenshou Lin, Kenta Hara, Noriko Oshiro, Ken-ichi Yoshino, Chiharu Tokunaga, Hidayat Sujuti and Joseph Rapley. Their work appears in journals such as Journal of Biological Chemistry, Methods, Journal of Virology, Current Biology and PLoS ONE.
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.