T PATEL
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Lipid Membrane Structure and Behavior 1
- Co-authors
- Jennifer C. Felger (1 shared paper)Xiangchuan Chen (1 shared paper)Andrew H. Miller (1 shared paper)Ebrahim Haroon (1 shared paper)Xiao Hu (1 shared paper)Candace C. Fleischer (1 shared paper)Bobbi J. Woolwine (1 shared paper)Lawrence V. Hofmann (1 shared paper)
- Journals
- Cardiovascular Research (1 paper)Molecular Psychiatry (1 paper)Experimental Cell Research (1 paper)Molecular Pharmacology (1 paper)Biochimica et Biophysica Acta (BBA) - General Subjects (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
T PATEL
11 papers receiving 508 citations
Peers
Comparison fields: 5 of 85
- Biological Psychiatry 146
- Behavioral Neuroscience 106
- Pharmacology 102
- Neurology 47
- Cancer Research 68
Countries citing papers authored by T PATEL
This map shows the geographic impact of T PATEL'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 T PATEL with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T PATEL more than expected).
Fields of papers citing papers by T PATEL
This network shows the impact of papers produced by T PATEL. 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 T PATEL. The network helps show where T PATEL may publish in the future.
Co-authors
The 25 scholars most cited alongside T PATEL, 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 | 184 | |
| 2 | 2005 | 103 | |
| 3 | 1998 | 61 | |
| 4 | 1973 | 36 | |
| 5 | 1969 | 33 | |
| 6 | A human T-cell receptor recognizes 'O'-linked sugars from the hinge region of human IgA1 and IgD. | 1994 | 28 |
| 7 | 1996 | 25 | |
| 8 | 1998 | 23 | |
| 9 | 1986 | 15 | |
| 10 | 2021 | 10 | |
| 11 | Lectin-carbohydrate interactions in disease. T-cell recognition of IgA and IgD; mannose binding protein recognition of IgG0. | 1995 | 8 |
About T PATEL
T PATEL is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Genetics and Organic Chemistry, having authored 11 papers that have together received 526 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Pancreatic function and diabetes (1 paper), Diabetes Management and Research (1 paper), Allergic Rhinitis and Sensitization (1 paper), Computational Drug Discovery Methods (1 paper), Cutaneous Melanoma Detection and Management (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Biological Psychiatry (146 citations), Behavioral Neuroscience (106 citations), Pharmacology (102 citations), Neurology (47 citations) and Cancer Research (68 citations). T PATEL has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Jennifer C. Felger, Xiangchuan Chen, Andrew H. Miller, Ebrahim Haroon, Xiao Hu, Candace C. Fleischer, Bobbi J. Woolwine, Lawrence V. Hofmann, Ch. Weiß and Gregg L. Semenza. Their work appears in journals such as Cardiovascular Research, Molecular Psychiatry, Experimental Cell Research, Molecular Pharmacology and Biochimica et Biophysica Acta (BBA) - General Subjects.
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.