Michael Tanen
- Physiology top 5%
- Alzheimer's disease research and treatments 5
- Adipose Tissue and Metabolism 3
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases 3
- Molecular Biology top 10%
- Peroxisome Proliferator-Activated Receptors 4
- Retinoids in leukemia and cellular processes 3
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- Computational Drug Discovery Methods 3
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- Estrogen and related hormone effects 3
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- Peptidase Inhibition and Analysis 3
- Co-authors
- Joel P. BergerDavid E. MollerKaren SnyderGary HermanArthur BergmanWesley TanakaBingming YiJohn A. Wagner
- Journals
- Alzheimer s & Dementia (4 papers)Clinical Pharmacology & Therapeutics (2 papers)Molecular Endocrinology (2 papers)
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
Michael Tanen
21 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 100
- Endocrinology, Diabetes and Metabolism 886
- Physiology 659
- Endocrine and Autonomic Systems 128
- Pharmacology 307
- Molecular Biology 972
Countries citing papers authored by Michael Tanen
This map shows the geographic impact of Michael Tanen'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 Michael Tanen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Tanen more than expected).
Fields of papers citing papers by Michael Tanen
This network shows the impact of papers produced by Michael Tanen. 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 Michael Tanen. The network helps show where Michael Tanen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Tanen, 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 | 2018 | 13 | |
| 2 | 2018 | 18 | |
| 3 | 2015 | 62 | |
| 4 | 2015 | 10 | |
| 5 | 2014 | 4 | |
| 6 | 2014 | 59 | |
| 7 | 2013 | 6 | |
| 8 | 2012 | 38 | |
| 9 | 2012 | 3 | |
| 10 | 2008 | 1 | |
| 11 | 2006 | 146 | |
| 12 | 2006 | 220 | |
| 13 | 2005 | 414 | |
| 14 | 2003 | 271 | |
| 15 | 2003 | 96 | |
| 16 | 2002 | 497 | |
| 17 | 2001 | 175 | |
| 18 | 1997 | 38 | |
| 19 | 1996 | 39 | |
| 20 | 1995 | 40 |
About Michael Tanen
Michael Tanen is a scholar working on Physiology, Immunology and Allergy, Endocrinology, Diabetes and Metabolism, Computational Theory and Mathematics and Immunology, having authored 21 papers that have together received 2.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Computational Drug Discovery Methods (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Adipose Tissue and Metabolism (3 papers), Estrogen and related hormone effects (3 papers), Peptidase Inhibition and Analysis (3 papers) and Retinoids in leukemia and cellular processes (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (886 citations), Physiology (659 citations), Endocrine and Autonomic Systems (128 citations), Pharmacology (307 citations) and Molecular Biology (972 citations). Michael Tanen has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Joel P. Berger, David E. Moller, Karen Snyder, Gary Herman, Arthur Bergman, Wesley Tanaka, Bingming Yi, John A. Wagner, Koen Vandyck and C. Melinda Stevens. Their work appears in journals such as Alzheimer s & Dementia, Clinical Pharmacology & Therapeutics, Molecular Endocrinology, Journal of Biological Chemistry and 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.