Michael C. Jin
Impact in
- Human-Computer Interaction top 1%
- Virtual Reality Applications and Impacts
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
- Genetics 12
- Glioma Diagnosis and Treatment 8
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- Cancer Genomics and Diagnostics 9
- Co-authors
- Nick Yee (1 shared paper)Jeremy N. Bailenson (1 shared paper)Andrew C. Beall (1 shared paper)Jim Blascovich (1 shared paper)Uchechukwu C. Megwalu (4 shared papers)Z. Jason Qian (7 shared papers)Tej D. Azad (7 shared papers)Anand Veeravagu (13 shared papers)
- Journals
- Blood (8 papers)Neurosurgical FOCUS (5 papers)Journal of Neurosurgery Pediatrics (5 papers)World Neurosurgery (5 papers)The Spine Journal (3 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Michael C. Jin
71 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 139
- Human-Computer Interaction 272
- Genetics 144
- Developmental and Educational Psychology 116
- Endocrinology, Diabetes and Metabolism 134
- Pathology and Forensic Medicine 129
Countries citing papers authored by Michael C. Jin
This map shows the geographic impact of Michael C. 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 Michael C. Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Jin more than expected).
Fields of papers citing papers by Michael C. Jin
This network shows the impact of papers produced by Michael C. 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 Michael C. Jin. The network helps show where Michael C. Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael C. 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 439 | |
| 2 | 2019 | 124 | |
| 3 | 2019 | 103 | |
| 4 | 2016 | 77 | |
| 5 | 2016 | 50 | |
| 6 | 2020 | 46 | |
| 7 | 2019 | 41 | |
| 8 | 2020 | 27 | |
| 9 | 2023 | 24 | |
| 10 | 2019 | 22 | |
| 11 | 2020 | 21 | |
| 12 | 2022 | 16 | |
| 13 | 2020 | 16 | |
| 14 | 2020 | 16 | |
| 15 | 2020 | 16 | |
| 16 | 2019 | 15 | |
| 17 | 2022 | 14 | |
| 18 | 2019 | 14 | |
| 19 | 2020 | 13 | |
| 20 | 2019 | 12 |
About Michael C. Jin
Michael C. Jin is a scholar working on Genetics, Cancer Research, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 78 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Glioma Diagnosis and Treatment (8 papers), Lymphoma Diagnosis and Treatment (7 papers), Opioid Use Disorder Treatment (3 papers), Brain Metastases and Treatment (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Obstructive Sleep Apnea Research (3 papers) and Meningioma and schwannoma management (3 papers). The work is most often cited by research in Human-Computer Interaction (272 citations), Genetics (144 citations), Developmental and Educational Psychology (116 citations), Endocrinology, Diabetes and Metabolism (134 citations) and Pathology and Forensic Medicine (129 citations). Michael C. Jin has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Nick Yee, Jeremy N. Bailenson, Andrew C. Beall, Jim Blascovich, Uchechukwu C. Megwalu, Z. Jason Qian, Tej D. Azad, Anand Veeravagu, Kara D. Meister and Zachary A. Medress. Their work appears in journals such as Blood, Neurosurgical FOCUS, Journal of Neurosurgery Pediatrics, World Neurosurgery and The Spine Journal.
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.