Yiming Yang
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
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- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
-
- Single-cell and spatial transcriptomics 4
- Enzyme Catalysis and Immobilization 3
- Microbial Metabolic Engineering and Bioproduction 2
- Gene expression and cancer classification 2
- Co-authors
- Bo Li (4 shared papers)Aviv Regev (2 shared papers)Orit Rozenblatt–Rosen (2 shared papers)Siranush Sarkizova (1 shared paper)Marcin Tabaka (1 shared paper)Monika S. Kowalczyk (1 shared paper)Michal Slyper (1 shared paper)Orr Ashenberg (1 shared paper)
- Journals
- Journal of Biotechnology (1 paper)Science Advances (1 paper)Petroleum Science (1 paper)Cancer Research (1 paper)Nature Methods (1 paper)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Yiming Yang
11 papers receiving 962 citations
Yiming Yang's Hit Papers
Peers
Comparison fields: 5 of 104
- Infectious Diseases 293
- Immunology 217
- Neurology 149
- Biophysics 40
- Molecular Biology 401
Countries citing papers authored by Yiming Yang
This map shows the geographic impact of Yiming Yang'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 Yiming Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiming Yang more than expected).
Fields of papers citing papers by Yiming Yang
This network shows the impact of papers produced by Yiming Yang. 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 Yiming Yang. The network helps show where Yiming Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiming Yang, 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 | COVID-19 tissue atlases reveal SARS-CoV-2 pathology and cellular targets Hit paper breakdown → | 2021 | 577 |
| 2 | 2020 | 148 | |
| 3 | 2019 | 114 | |
| 4 | 2022 | 43 | |
| 5 | 2012 | 35 | |
| 6 | 2020 | 29 | |
| 7 | 2025 | 25 | |
| 8 | 2010 | 12 | |
| 9 | 2022 | 10 | |
| 10 | 2019 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2026 | 0 |
About Yiming Yang
Yiming Yang is a scholar working on Molecular Biology, Geochemistry and Petrology, Biophysics, Paleontology and Radiation, having authored 13 papers that have together received 995 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Enzyme Catalysis and Immobilization (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Gene expression and cancer classification (2 papers), Hydrocarbon exploration and reservoir analysis (1 paper), COVID-19 Clinical Research Studies (1 paper), Paleontology and Stratigraphy of Fossils (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Infectious Diseases (293 citations), Immunology (217 citations), Neurology (149 citations), Biophysics (40 citations) and Molecular Biology (401 citations). Yiming Yang has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Bo Li, Aviv Regev, Orit Rozenblatt–Rosen, Siranush Sarkizova, Marcin Tabaka, Monika S. Kowalczyk, Michal Slyper, Orr Ashenberg, Joshua Gould and Ayshwarya Subramanian. Their work appears in journals such as Journal of Biotechnology, Science Advances, Petroleum Science, Cancer Research and Nature Methods.
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.