Qin Lan
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Hepatology top 5%
- Liver physiology and pathology
Papers in
- Immunology 12
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 8
- Immunotherapy and Immune Responses 6
- Co-authors
- Yuan‐Ping Han (5 shared papers)Song Guo Zheng (12 shared papers)Julie Wang (8 shared papers)Zhongmin Liu (12 shared papers)Maogen Chen (8 shared papers)Chunli Yan (2 shared papers)David Brand (8 shared papers)Bernhard Ryffel (6 shared papers)
- Journals
- American Journal Of Pathology (3 papers)PLoS ONE (3 papers)Journal of Molecular Cell Biology (2 papers)International Immunopharmacology (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Qin Lan
35 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 111
- Immunology 649
- Hepatology 129
- Rehabilitation 85
- Cancer Research 151
- Dermatology 79
Countries citing papers authored by Qin Lan
This map shows the geographic impact of Qin Lan'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 Qin Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qin Lan more than expected).
Fields of papers citing papers by Qin Lan
This network shows the impact of papers produced by Qin Lan. 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 Qin Lan. The network helps show where Qin Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Qin Lan, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 224 | |
| 2 | 2014 | 188 | |
| 3 | 2017 | 137 | |
| 4 | 2012 | 116 | |
| 5 | 2016 | 98 | |
| 6 | 2011 | 95 | |
| 7 | 2012 | 88 | |
| 8 | 2010 | 83 | |
| 9 | 2012 | 82 | |
| 10 | 2007 | 76 | |
| 11 | 2013 | 64 | |
| 12 | 2012 | 63 | |
| 13 | 2011 | 55 | |
| 14 | 2014 | 31 | |
| 15 | 2017 | 26 | |
| 16 | 2021 | 23 | |
| 17 | 2015 | 17 | |
| 18 | 2016 | 15 | |
| 19 | 2011 | 15 | |
| 20 | 2022 | 13 |
About Qin Lan
Qin Lan is a scholar working on Immunology, Molecular Biology, Physiology, Pulmonary and Respiratory Medicine and Oncology, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers), Immunotherapy and Immune Responses (6 papers), Liver physiology and pathology (4 papers), Diet and metabolism studies (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and Body Composition Measurement Techniques (2 papers). The work is most often cited by research in Immunology (649 citations), Hepatology (129 citations), Rehabilitation (85 citations), Cancer Research (151 citations) and Dermatology (79 citations). Qin Lan has collaborated with scholars based in China, United States and France. Frequent co-authors include Yuan‐Ping Han, Song Guo Zheng, Julie Wang, Zhongmin Liu, Maogen Chen, Chunli Yan, David Brand, Bernhard Ryffel, Xiaohui Zhou and Taryn E Travis. Their work appears in journals such as American Journal Of Pathology, PLoS ONE, Journal of Molecular Cell Biology, International Immunopharmacology and Scientific Reports.
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.