Michael T. Yin
- Emergency Medicine top 0.1%
- Infectious Diseases top 0.5%
- Orthopedics and Sports Medicine top 0.5%
- Epidemiology top 5%
- Virology top 1%
- Co-authors
- Elizabeth ShaneStephanie ShiauTodd T. BrownStephen M. ArpadiSerge CremersMagdalena E. SobieszczykJason ZuckerEdgar T. Overton
- Topics
- HIV-related health complications and treatments (102 papers)Bone and Joint Diseases (44 papers)HIV Research and Treatment (34 papers)
- Journals
- NatureCirculationSHILAP Revista de lepidopterología
- Partner nations
- United StatesSouth AfricaChina
In The Last Decade
Michael T. Yin
201 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Emergency Medicine 2.4k
- Infectious Diseases 2.3k
- Orthopedics and Sports Medicine 1.4k
- Epidemiology 907
- Virology 660
Countries citing papers authored by Michael T. Yin
This map shows the geographic impact of Michael T. Yin'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 T. Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Yin more than expected).
Fields of papers citing papers by Michael T. Yin
This network shows the impact of papers produced by Michael T. Yin. 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 T. Yin. The network helps show where Michael T. Yin may publish in the future.
Co-authorship network of co-authors of Michael T. Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Yin. A scholar is included among the top collaborators of Michael T. Yin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael T. Yin. Michael T. Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | Antibody evasion properties of SARS-CoV-2 Omicron sublineagesbreakdown → | 478 |
| 12 | Antibody evasion by SARS-CoV-2 Omicron subvariants BA.2.12.1, BA.4 and BA.5breakdown → | 433 |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 12 | |
| 19 | 54 | |
| 20 | A comparison of two approaches to text processing: facilitating chart reviews of radiology reports in electronic medical records. | 12 |
About Michael T. Yin
Michael T. Yin is a scholar working on Emergency Medicine, Virology and Orthopedics and Sports Medicine, having authored 210 papers that have together received 5.7k indexed citations. Recurring topics across this work include HIV-related health complications and treatments (102 papers), Bone and Joint Diseases (44 papers) and HIV Research and Treatment (34 papers). The work is most often cited by research in Emergency Medicine (2.4k citations), Orthopedics and Sports Medicine (1.4k citations) and Virology (660 citations). Michael T. Yin has collaborated with scholars based in United States, South Africa and China. Frequent co-authors include Elizabeth Shane, Stephanie Shiau, Todd T. Brown, Stephen M. Arpadi, Serge Cremers, Magdalena E. Sobieszczyk, Jason Zucker, Edgar T. Overton, Phyllis C. Tien and Grace A. McComsey. Their work appears in journals such as Nature, Circulation and SHILAP Revista de lepidopterología.
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.