G. Brandon Atkins
- Cancer Research top 5%
- Molecular Biology top 5%
- Kruppel-like factors research 14
- Peroxisome Proliferator-Activated Receptors 4
- Retinoids in leukemia and cellular processes 3
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 6
- Estrogen and related hormone effects 4
- Immunology top 10%
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 6
- Estrogen and related hormone effects 4
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- Dialysis and Renal Disease Management 3
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- Lipid metabolism and disorders 3
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- Nuclear Receptors and Signaling 3
- Co-authors
- Mukesh K. JainZhiyong LinMitchell A. LazarAnne HamikSucharita SenBanerjeeAjay KumarHong ShiDaniel I. Simon
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (3 papers)Immunity (2 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
G. Brandon Atkins
27 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Cancer Research 470
- Molecular Biology 2.0k
- Genetics 589
- Immunology 404
- Genetics 200
Countries citing papers authored by G. Brandon Atkins
This map shows the geographic impact of G. Brandon Atkins'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 G. Brandon Atkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Brandon Atkins more than expected).
Fields of papers citing papers by G. Brandon Atkins
This network shows the impact of papers produced by G. Brandon Atkins. 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 G. Brandon Atkins. The network helps show where G. Brandon Atkins may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G. Brandon Atkins, 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 | 2024 | 0 | |
| 2 | 2022 | 4 | |
| 3 | 2022 | 2 | |
| 4 | 2016 | 42 | |
| 5 | 2015 | 68 | |
| 6 | 2014 | 9 | |
| 7 | 2013 | 31 | |
| 8 | 2013 | 73 | |
| 9 | 2012 | 176 | |
| 10 | 2012 | 26 | |
| 11 | 2011 | 4 | |
| 12 | 2011 | 111 | |
| 13 | 2010 | 100 | |
| 14 | 2009 | 77 | |
| 15 | 2005 | 278 | |
| 16 | 2000 | 158 | |
| 17 | 1999 | 81 | |
| 18 | 1999 | 145 | |
| 19 | 1997 | 87 | |
| 20 | The viral oncoproteins Ad5 E1A, HPV16 E7 and SV40 TAg bind a common region of the TBP-associated factor-110. | 1995 | 52 |
About G. Brandon Atkins
G. Brandon Atkins is a scholar working on Genetics, Nephrology and Molecular Biology, having authored 28 papers that have together received 2.9k indexed citations. Recurring topics across this work include Kruppel-like factors research (14 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Estrogen and related hormone effects (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Dialysis and Renal Disease Management (3 papers), Lipid metabolism and disorders (3 papers), Retinoids in leukemia and cellular processes (3 papers) and Nuclear Receptors and Signaling (3 papers). The work is most often cited by research in Cancer Research (470 citations), Molecular Biology (2.0k citations) and Genetics (589 citations). G. Brandon Atkins has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Mukesh K. Jain, Zhiyong Lin, Mitchell A. Lazar, Anne Hamik, Sucharita SenBanerjee, Ajay Kumar, Hong Shi, Daniel I. Simon, Heather P. Harding and Daiji Kawanami. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Immunity, Journal of Clinical Investigation, Circulation Research and Molecular Endocrinology.
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.