Yingjun Yan
Impact in
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing
- Oncology top 10%
- Lung Cancer Research Studies
Papers in
-
- Metabolomics and Mass Spectrometry Studies 2
-
- Lung Cancer Treatments and Mutations 5
- Co-authors
- Christine M. Lovly (8 shared papers)Yi‐Wei Tang (4 shared papers)Catherine B. Meador (2 shared papers)Haijing Li (3 shared papers)Charles W. Stratton (3 shared papers)David Westover (2 shared papers)Criziel Quinn (2 shared papers)Gongyi Shi (1 shared paper)
- Journals
- Journal of Clinical Microbiology (3 papers)Cancer Research (2 papers)Journal of Thoracic Oncology (2 papers)Nature Communications (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yingjun Yan
28 papers receiving 735 citations
Peers
Comparison fields: 5 of 71
- Clinical Biochemistry 90
- Oncology 229
- Pulmonary and Respiratory Medicine 263
- Cancer Research 83
- Epidemiology 126
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 106 | |
| 2 | 2017 | 106 | |
| 3 | 2011 | 90 | |
| 4 | 2019 | 78 | |
| 5 | 1997 | 74 | |
| 6 | 2021 | 52 | |
| 7 | 2010 | 43 | |
| 8 | 2021 | 22 | |
| 9 | 2014 | 21 | |
| 10 | 2019 | 19 | |
| 11 | 2016 | 18 | |
| 12 | 2022 | 17 | |
| 13 | 2011 | 17 | |
| 14 | 2020 | 16 | |
| 15 | 2020 | 13 | |
| 16 | 2011 | 12 | |
| 17 | 2012 | 9 | |
| 18 | 2014 | 6 | |
| 19 | 2020 | 4 | |
| 20 | 2019 | 4 |
About Yingjun Yan
Yingjun Yan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Genetics, having authored 29 papers that have together received 740 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (5 papers), High Altitude and Hypoxia (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Antibiotic Resistance in Bacteria (2 papers), HER2/EGFR in Cancer Research (2 papers) and Agricultural Research and Practices (1 paper). The work is most often cited by research in Clinical Biochemistry (90 citations), Oncology (229 citations), Pulmonary and Respiratory Medicine (263 citations), Cancer Research (83 citations) and Epidemiology (126 citations). Yingjun Yan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Christine M. Lovly, Yi‐Wei Tang, Catherine B. Meador, Haijing Li, Charles W. Stratton, David Westover, Criziel Quinn, Gongyi Shi, Benjamin P. Brown and Heidi Chen. Their work appears in journals such as Journal of Clinical Microbiology, Cancer Research, Journal of Thoracic Oncology, Nature Communications and Clinical Cancer Research.
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.