Tamara Pittman
Impact in
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- Monoclonal and Polyclonal Antibodies Research
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- Biosimilars and Bioanalytical Methods
Papers in
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- Glycosylation and Glycoproteins Research 2
- Protein purification and stability 1
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Thomayant Prueksaritanont (3 shared papers)Yulin Fang (2 shared papers)Weirong Wang (2 shared papers)Lora Hamuro (2 shared papers)Jerome Hochman (2 shared papers)Roxana Ionescu (1 shared paper)Yunsong Li (1 shared paper)Jeanette Roman (1 shared paper)
- Journals
- Journal of Pharmacology and Experimental Therapeutics (1 paper)Drug Metabolism and Disposition (1 paper)European Journal of Pharmacology (1 paper)Biologicals (1 paper)Cell Death and Differentiation (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Tamara Pittman
7 papers receiving 479 citations
Peers
Comparison fields: 5 of 53
- Radiology, Nuclear Medicine and Imaging 334
- Immunology 109
- Molecular Biology 349
- Psychiatry and Mental health 40
- Endocrine and Autonomic Systems 17
Countries citing papers authored by Tamara Pittman
This map shows the geographic impact of Tamara Pittman'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 Pittman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara Pittman more than expected).
Fields of papers citing papers by Tamara Pittman
This network shows the impact of papers produced by Tamara Pittman. 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 Pittman. The network helps show where Tamara Pittman may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamara Pittman, 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 | 2011 | 209 | |
| 2 | 2011 | 143 | |
| 3 | 2011 | 57 | |
| 4 | Functional role of alpha-calcitonin gene-related peptide in the regulation of the cardiovascular system. | 2001 | 40 |
| 5 | 1999 | 22 | |
| 6 | 2009 | 18 | |
| 7 | 2001 | 12 |
About Tamara Pittman
Tamara Pittman is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Psychiatry and Mental health, having authored 7 papers that have together received 501 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Migraine and Headache Studies (2 papers), Hormonal Regulation and Hypertension (2 papers), Neuropeptides and Animal Physiology (2 papers), Protein purification and stability (1 paper), Neuroendocrine regulation and behavior (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (334 citations), Immunology (109 citations), Molecular Biology (349 citations), Psychiatry and Mental health (40 citations) and Endocrine and Autonomic Systems (17 citations). Tamara Pittman has collaborated with scholars based in United States and Japan. Frequent co-authors include Thomayant Prueksaritanont, Yulin Fang, Weirong Wang, Lora Hamuro, Jerome Hochman, Roxana Ionescu, Yunsong Li, Jeanette Roman, Pavlo Pristatsky and Josef Vlasak. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Drug Metabolism and Disposition, European Journal of Pharmacology, Biologicals and Cell Death and Differentiation.
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.