Tamara C. Otto
Impact in
- Physiology top 1%
- Adipose Tissue and Metabolism
- Aging top 5%
Papers in
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- Ubiquitin and proteasome pathways 2
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- Pesticide Exposure and Toxicity 10
- Co-authors
- M. Daniel Lane (9 shared papers)Qi-Qun Tang (5 shared papers)Jae Woo Kim (3 shared papers)Robert R. Bowers (2 shared papers)Saleh Adi (1 shared paper)Paul Dowell (1 shared paper)Akhilesh Pandey (2 shared papers)Haiyan Huang (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Chemico-Biological Interactions (4 papers)PLoS ONE (2 papers)Biochemical and Biophysical Research Communications (1 paper)Molecular Pharmacology (1 paper)
- Partner nations
- United StatesIsraelChina
In The Last Decade
Tamara C. Otto
25 papers receiving 3.0k citations
Tamara C. Otto's Hit Papers
Peers
Comparison fields: 5 of 103
- Physiology 1.1k
- Aging 53
- Geriatrics and Gerontology 87
- Epidemiology 813
- Biochemistry 187
Countries citing papers authored by Tamara C. Otto
This map shows the geographic impact of Tamara C. Otto'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 Tamara C. Otto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara C. Otto more than expected).
Fields of papers citing papers by Tamara C. Otto
This network shows the impact of papers produced by Tamara C. Otto. 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 Tamara C. Otto. The network helps show where Tamara C. Otto may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamara C. Otto, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mitotic clonal expansion: A synchronous process required for adipogenesis Hit paper breakdown → | 2002 | 693 |
| 2 | 2005 | 428 | |
| 3 | 2003 | 428 | |
| 4 | 2004 | 329 | |
| 5 | 2005 | 281 | |
| 6 | 2003 | 204 | |
| 7 | 2006 | 190 | |
| 8 | 2008 | 110 | |
| 9 | 2010 | 63 | |
| 10 | 2010 | 40 | |
| 11 | 2009 | 40 | |
| 12 | 2010 | 31 | |
| 13 | 2006 | 23 | |
| 14 | 2010 | 22 | |
| 15 | 2011 | 22 | |
| 16 | 2019 | 18 | |
| 17 | 2012 | 15 | |
| 18 | 2012 | 15 | |
| 19 | 2020 | 13 | |
| 20 | 2011 | 13 |
About Tamara C. Otto
Tamara C. Otto is a scholar working on Molecular Biology, Plant Science, Clinical Biochemistry, Pharmacology and Physiology, having authored 25 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pesticide Exposure and Toxicity (10 papers), Paraoxonase enzyme and polymorphisms (7 papers), Cholinesterase and Neurodegenerative Diseases (6 papers), Adipose Tissue and Metabolism (5 papers), Vitamin C and Antioxidants Research (3 papers), Insect and Pesticide Research (3 papers), Pesticide and Herbicide Environmental Studies (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Physiology (1.1k citations), Aging (53 citations), Geriatrics and Gerontology (87 citations), Epidemiology (813 citations) and Biochemistry (187 citations). Tamara C. Otto has collaborated with scholars based in United States, Israel and China. Frequent co-authors include M. Daniel Lane, Qi-Qun Tang, Jae Woo Kim, Robert R. Bowers, Saleh Adi, Paul Dowell, Akhilesh Pandey, Haiyan Huang, Mads Grønborg and Douglas M. Cerasoli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Chemico-Biological Interactions, PLoS ONE, Biochemical and Biophysical Research Communications and Molecular Pharmacology.
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.