Yingjun Yan
Impact in
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- Lung Cancer Treatments and Mutations
- Oncology top 10%
- Lung Cancer Research Studies
- HER2/EGFR in Cancer Research
Papers in
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- Lung Cancer Treatments and Mutations 7
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- Cancer, Hypoxia, and Metabolism 3
- Cancer Genomics and Diagnostics 2
- Co-authors
- Christine Marie Lovly (7 shared papers)Yi‐Wei Tang (4 shared papers)Catherine Belle Meador (2 shared papers)Charles W. Stratton (3 shared papers)Haijing Li (3 shared papers)David Westover (2 shared papers)Criziel D. Quinn (2 shared papers)Wade Thomas Iams (3 shared papers)
- Journals
- Journal of Clinical Microbiology (3 papers)Journal of Thoracic Oncology (2 papers)Microscopy and Microanalysis (1 paper)Nature Medicine (1 paper)Cancer Discovery (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Yingjun Yan
26 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 72
- Pulmonary and Respiratory Medicine 548
- Oncology 451
- Clinical Biochemistry 99
- Cancer Research 187
- Molecular Biology 449
Countries citing papers authored by Yingjun Yan
This map shows the geographic impact of Yingjun Yan'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 Yingjun Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingjun Yan more than expected).
Fields of papers citing papers by Yingjun Yan
This network shows the impact of papers produced by Yingjun Yan. 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 Yingjun Yan. The network helps show where Yingjun Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingjun Yan, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 246 | |
| 2 | 2017 | 123 | |
| 3 | 2017 | 116 | |
| 4 | 2016 | 108 | |
| 5 | 2011 | 98 | |
| 6 | 2019 | 90 | |
| 7 | 1997 | 75 | |
| 8 | 2021 | 56 | |
| 9 | 2010 | 44 | |
| 10 | 2021 | 24 | |
| 11 | 2014 | 21 | |
| 12 | 2016 | 21 | |
| 13 | 2019 | 20 | |
| 14 | 2020 | 20 | |
| 15 | 2022 | 18 | |
| 16 | 2011 | 17 | |
| 17 | 2011 | 17 | |
| 18 | 2020 | 15 | |
| 19 | 2020 | 15 | |
| 20 | 2012 | 9 |
About Yingjun Yan
Yingjun Yan is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Clinical Biochemistry, Oncology and Molecular Medicine, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (7 papers), Bacterial Identification and Susceptibility Testing (3 papers), High Altitude and Hypoxia (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer Genomics and Diagnostics (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Antibiotic Resistance in Bacteria (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (548 citations), Oncology (451 citations), Clinical Biochemistry (99 citations), Cancer Research (187 citations) and Molecular Biology (449 citations). Yingjun Yan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Christine Marie Lovly, Yi‐Wei Tang, Catherine Belle Meador, Charles W. Stratton, Haijing Li, David Westover, Criziel D. Quinn, Wade Thomas Iams, Heidi Chen and Zhenfang Du. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Thoracic Oncology, Microscopy and Microanalysis, Nature Medicine and Cancer Discovery.
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.