Thai Dinh
Impact in
- Rheumatology top 2%
- GDF15 and Related Biomarkers
- Physiology top 5%
- Nutrition and Health in Aging
Papers in
-
- Glycosylation and Glycoproteins Research 2
-
- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Michael J. Hunter (1 shared paper)Shannon E. Mullican (1 shared paper)Anthony A. Armstrong (1 shared paper)Xiefan Lin‐Schmidt (1 shared paper)Jose A. Chavez (1 shared paper)Cassandre Cavanaugh (1 shared paper)Victoria J. South (1 shared paper)Chen‐Ni Chin (1 shared paper)
- Journals
- Hypertension (1 paper)BioTechniques (1 paper)Regulatory Peptides (1 paper)Journal of Applied Physiology (1 paper)Biological Chemistry (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Thai Dinh
15 papers receiving 973 citations
Thai Dinh's Hit Papers
Peers
Comparison fields: 5 of 83
- Rheumatology 407
- Physiology 360
- Sensory Systems 52
- Cellular and Molecular Neuroscience 160
- Immunology 168
Countries citing papers authored by Thai Dinh
This map shows the geographic impact of Thai Dinh'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 Thai Dinh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thai Dinh more than expected).
Fields of papers citing papers by Thai Dinh
This network shows the impact of papers produced by Thai Dinh. 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 Thai Dinh. The network helps show where Thai Dinh may publish in the future.
Co-authors
The 25 scholars most cited alongside Thai Dinh, 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 | GFRAL is the receptor for GDF15 and the ligand promotes weight loss in mice and nonhuman primates Hit paper breakdown → | 2017 | 549 |
| 2 | 1996 | 102 | |
| 3 | 2006 | 66 | |
| 4 | 1994 | 53 | |
| 5 | 1999 | 38 | |
| 6 | 1993 | 34 | |
| 7 | 2010 | 29 | |
| 8 | 2012 | 27 | |
| 9 | 1991 | 26 | |
| 10 | 1998 | 24 | |
| 11 | 1991 | 20 | |
| 12 | 1994 | 11 | |
| 13 | 2008 | 9 | |
| 14 | 1989 | 7 | |
| 15 | 1996 | 1 | |
| 16 | 2017 | 0 |
About Thai Dinh
Thai Dinh is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cell Biology, Physiology and Biomedical Engineering, having authored 16 papers that have together received 996 indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (2 papers), T-cell and B-cell Immunology (2 papers), Biotin and Related Studies (2 papers), Ion Channels and Receptors (2 papers), Asthma and respiratory diseases (2 papers) and Respiratory and Cough-Related Research (2 papers). The work is most often cited by research in Rheumatology (407 citations), Physiology (360 citations), Sensory Systems (52 citations), Cellular and Molecular Neuroscience (160 citations) and Immunology (168 citations). Thai Dinh has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Michael J. Hunter, Shannon E. Mullican, Anthony A. Armstrong, Xiefan Lin‐Schmidt, Jose A. Chavez, Cassandre Cavanaugh, Victoria J. South, Chen‐Ni Chin, Shamina M. Rangwala and Jennifer L. Furman. Their work appears in journals such as Hypertension, BioTechniques, Regulatory Peptides, Journal of Applied Physiology and Biological Chemistry.
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.