Michael C. Jin
Impact in
- Human-Computer Interaction top 2%
- Virtual Reality Applications and Impacts
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
- Genetics 16
- Glioma Diagnosis and Treatment 12
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- Lymphoma Diagnosis and Treatment 8
- Spine and Intervertebral Disc Pathology 5
- Co-authors
- Jeremy N. Bailenson (1 shared paper)Nick Yee (1 shared paper)Jim Blascovich (1 shared paper)Andrew C. Beall (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)World Neurosurgery (5 papers)Neurosurgical FOCUS (5 papers)Journal of Neurosurgery Pediatrics (4 papers)The Laryngoscope (3 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Michael C. Jin
67 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 144
- Human-Computer Interaction 222
- Genetics 177
- Health Informatics 12
- Pathology and Forensic Medicine 154
- Endocrinology, Diabetes and Metabolism 139
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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 357 | |
| 2 | 2019 | 118 | |
| 3 | 2019 | 100 | |
| 4 | 2016 | 73 | |
| 5 | 2016 | 50 | |
| 6 | 2020 | 42 | |
| 7 | 2019 | 39 | |
| 8 | 2020 | 25 | |
| 9 | 2023 | 23 | |
| 10 | 2019 | 21 | |
| 11 | 2020 | 20 | |
| 12 | 2022 | 16 | |
| 13 | 2019 | 15 | |
| 14 | 2020 | 15 | |
| 15 | 2020 | 14 | |
| 16 | 2022 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2020 | 14 | |
| 19 | 2008 | 13 | |
| 20 | 2020 | 12 |
About Michael C. Jin
Michael C. Jin is a scholar working on Genetics, Pathology and Forensic Medicine, Neurology, Surgery and Epidemiology, having authored 75 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (12 papers), Cancer Genomics and Diagnostics (10 papers), Lymphoma Diagnosis and Treatment (8 papers), Meningioma and schwannoma management (7 papers), Opioid Use Disorder Treatment (7 papers), Musculoskeletal pain and rehabilitation (6 papers), Brain Metastases and Treatment (5 papers) and Spine and Intervertebral Disc Pathology (5 papers). The work is most often cited by research in Human-Computer Interaction (222 citations), Genetics (177 citations), Health Informatics (12 citations), Pathology and Forensic Medicine (154 citations) and Endocrinology, Diabetes and Metabolism (139 citations). Michael C. Jin has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Jeremy N. Bailenson, Nick Yee, Jim Blascovich, Andrew C. Beall, 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, World Neurosurgery, Neurosurgical FOCUS, Journal of Neurosurgery Pediatrics and The Laryngoscope.
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.