Tin T. Truong
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- Neuropeptides and Animal Physiology 7
- Structural Biology top 10%
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- Diabetes Treatment and Management 4
- Hormonal Regulation and Hypertension 1
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- Receptor Mechanisms and Signaling 9
- Glycosylation and Glycoproteins Research 2
- Protein Kinase Regulation and GTPase Signaling 1
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- Monoclonal and Polyclonal Antibodies Research 2
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- Pancreatic function and diabetes 1
- Co-authors
- Patrick M. SextonDenise WoottenPeishen ZhaoArthur ChristopoulosSebastian G. B. FurnessRadostin DanevYi-Lynn LiangAlisa Glukhova
- Cited by
- Cellular and Molecular NeuroscienceStructural BiologyEndocrinology, Diabetes and Metabolism
- Journals
- Nature (2 papers)Journal of the American Chemical Society (1 paper)Nature Communications (1 paper)
- Partner nations
- AustraliaUnited StatesJapan
In The Last Decade
Tin T. Truong
9 papers receiving 702 citations
Peers
Comparison fields: 5 of 55
- Cellular and Molecular Neuroscience 337
- Structural Biology 25
- Endocrinology, Diabetes and Metabolism 239
- Molecular Biology 611
- Radiology, Nuclear Medicine and Imaging 77
Countries citing papers authored by Tin T. Truong
This map shows the geographic impact of Tin T. Truong'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 Tin T. Truong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tin T. Truong more than expected).
Fields of papers citing papers by Tin T. Truong
This network shows the impact of papers produced by Tin T. Truong. 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 Tin T. Truong. The network helps show where Tin T. Truong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tin T. Truong, 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 | 2022 | 15 | |
| 2 | 2022 | 49 | |
| 3 | 2021 | 35 | |
| 4 | 2021 | 45 | |
| 5 | 2020 | 126 | |
| 6 | 2020 | 79 | |
| 7 | 2019 | 37 | |
| 8 | 2018 | 84 | |
| 9 | 2018 | 234 |
About Tin T. Truong
Tin T. Truong is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 9 papers that have together received 704 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Neuropeptides and Animal Physiology (7 papers), Diabetes Treatment and Management (4 papers), Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Pancreatic function and diabetes (1 paper) and Hormonal Regulation and Hypertension (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (337 citations), Structural Biology (25 citations) and Endocrinology, Diabetes and Metabolism (239 citations). Tin T. Truong has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Patrick M. Sexton, Denise Wootten, Peishen Zhao, Arthur Christopoulos, Sebastian G. B. Furness, Radostin Danev, Yi-Lynn Liang, Alisa Glukhova, Lachlan Clydesdale and Maryam Khoshouei. Their work appears in journals such as Nature, Journal of the American Chemical Society and Nature Communications.
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.