Michelle Jin
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
- Behavioral Neuroscience top 10%
Papers in
-
- Hepatitis C virus research 3
- Hepatocellular Carcinoma Treatment and Prognosis 3
-
- Fungal and yeast genetics research 3
- Receptor Mechanisms and Signaling 2
- Co-authors
- Yavin Shaham (3 shared papers)Sam A. Golden (3 shared papers)Daniel J. Lew (3 shared papers)Wendy Hara (1 shared paper)Billy W. Loo (1 shared paper)Michael S. Binkley (1 shared paper)Rie von Eyben (1 shared paper)Chad Tang (1 shared paper)
- Journals
- Biological Psychiatry (3 papers)Molecular Biology of the Cell (2 papers)Journal of Neuroscience (2 papers)Proceedings of the National Academy of Sciences (2 papers)Liver International (2 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Michelle Jin
26 papers receiving 649 citations
Peers
Comparison fields: 5 of 78
- Hepatology 99
- Behavioral Neuroscience 38
- Cellular and Molecular Neuroscience 120
- Radiation 50
- Biological Psychiatry 12
Countries citing papers authored by Michelle Jin
This map shows the geographic impact of Michelle Jin'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 Michelle Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Jin more than expected).
Fields of papers citing papers by Michelle Jin
This network shows the impact of papers produced by Michelle Jin. 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 Michelle Jin. The network helps show where Michelle Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Michelle Jin, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 133 | |
| 2 | 2019 | 90 | |
| 3 | 2019 | 73 | |
| 4 | 2019 | 65 | |
| 5 | 2017 | 65 | |
| 6 | 2012 | 33 | |
| 7 | 2013 | 31 | |
| 8 | 2019 | 30 | |
| 9 | 2013 | 20 | |
| 10 | 2019 | 20 | |
| 11 | 2024 | 15 | |
| 12 | 2022 | 14 | |
| 13 | 2017 | 14 | |
| 14 | 2012 | 12 | |
| 15 | 2017 | 10 | |
| 16 | 2023 | 8 | |
| 17 | 2023 | 6 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 2 |
About Michelle Jin
Michelle Jin is a scholar working on Hepatology, Molecular Biology, Pulmonary and Respiratory Medicine, Cognitive Neuroscience and Physiology, having authored 29 papers that have together received 655 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (3 papers), Hepatitis C virus research (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Neuroendocrine regulation and behavior (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Receptor Mechanisms and Signaling (2 papers), Neural dynamics and brain function (2 papers) and Memory and Neural Mechanisms (2 papers). The work is most often cited by research in Hepatology (99 citations), Behavioral Neuroscience (38 citations), Cellular and Molecular Neuroscience (120 citations), Radiation (50 citations) and Biological Psychiatry (12 citations). Michelle Jin has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Yavin Shaham, Sam A. Golden, Daniel J. Lew, Wendy Hara, Billy W. Loo, Michael S. Binkley, Rie von Eyben, Chad Tang, Aadel A. Chaudhuri and Nicholas Trakul. Their work appears in journals such as Biological Psychiatry, Molecular Biology of the Cell, Journal of Neuroscience, Proceedings of the National Academy of Sciences and Liver International.
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.