Brian A. Hemmings
- Molecular Biology top 0.02%
- Protein Kinase Regulation and GTPase Signaling 104
- PI3K/AKT/mTOR signaling in cancer 82
- Metabolism, Diabetes, and Cancer 30
- Ubiquitin and proteasome pathways 27
- Cell Biology top 0.02%
- Microtubule and mitosis dynamics 26
- Cellular transport and secretion 24
- Hippo pathway signaling and YAP/TAZ 24
- Aging top 0.2%
- Cancer Research top 0.2%
- Oncology top 0.2%
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- Enzyme Structure and Function 18
- Co-authors
- Dario R. AlessiMirjana AndjelkovićDerek P. BrazilPeter CronDarren A.E. CrossPhilip CohenJongsun ParkDavid F. Restuccia
- Cited by
- Molecular BiologyCell BiologyAging
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Brian A. Hemmings
309 papers receiving 41.7k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Molecular Biology 33.2k
- Cell Biology 7.2k
- Aging 578
- Cancer Research 3.4k
- Oncology 5.1k
Countries citing papers authored by Brian A. Hemmings
This map shows the geographic impact of Brian A. Hemmings'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 Brian A. Hemmings with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian A. Hemmings more than expected).
Fields of papers citing papers by Brian A. Hemmings
This network shows the impact of papers produced by Brian A. Hemmings. 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 Brian A. Hemmings. The network helps show where Brian A. Hemmings may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian A. Hemmings, 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 | 2016 | 49 | |
| 2 | 2014 | 16 | |
| 3 | 2013 | 6 | |
| 4 | 2012 | 178 | |
| 5 | 2011 | 123 | |
| 6 | 2011 | 65 | |
| 7 | 2009 | 64 | |
| 8 | 2008 | 318 | |
| 9 | 2006 | 16 | |
| 10 | Structure, regulation and function of PKB-Akt - a major therapeutic target | 2003 | 5 |
| 11 | 2003 | 49 | |
| 12 | 2001 | 207 | |
| 13 | 2001 | 155 | |
| 14 | 2001 | 23 | |
| 15 | 2000 | 370 | |
| 16 | 1999 | 353 | |
| 17 | Mechanism of protein kinase B activation by insulin IGF1 revealed by specific inhibitors of the phosphoinositide 3-kinase. Significance for diabetes and cancer | 1998 | 2 |
| 18 | 1997 | 127 | |
| 19 | 1989 | 10 | |
| 20 | A Randomized Double-Blind Placebo Controlled Trial of Medroxyprogesterone Acetate (Mpa) in Cancer Cachexia | 1988 | 5 |
About Brian A. Hemmings
Brian A. Hemmings is a scholar working on Cell Biology, Molecular Biology and Genetics, having authored 313 papers that have together received 42.4k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (104 papers), PI3K/AKT/mTOR signaling in cancer (82 papers), Metabolism, Diabetes, and Cancer (30 papers), Ubiquitin and proteasome pathways (27 papers), Microtubule and mitosis dynamics (26 papers), Cellular transport and secretion (24 papers), Hippo pathway signaling and YAP/TAZ (24 papers) and Enzyme Structure and Function (18 papers). The work is most often cited by research in Molecular Biology (33.2k citations), Cell Biology (7.2k citations) and Aging (578 citations). Brian A. Hemmings has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Dario R. Alessi, Mirjana Andjelković, Derek P. Brazil, Peter Cron, Darren A.E. Cross, Philip Cohen, Philip Cohen, Jongsun Park, David F. Restuccia and Zhongzhou Yang. Their work appears in journals such as Nature, Science and Cell.
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.