Qin Lan
- Immunology top 5%
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 8
- Immunotherapy and Immune Responses 6
- Hepatology top 5%
- Liver physiology and pathology 4
- Rehabilitation top 5%
- Dermatology top 5%
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 2
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- Peripheral Neuropathies and Disorders 2
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- COVID-19 Clinical Research Studies 2
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- Body Composition Measurement Techniques 2
- Co-authors
- Yuan‐Ping HanSong Guo ZhengJulie WangZhongmin LiuMaogen ChenChunli YanDavid BrandBernhard Ryffel
- Cited by
- ImmunologyHepatologyRehabilitation
- Journals
- American Journal Of Pathology (3 papers)PLoS ONE (3 papers)Journal of Molecular Cell Biology (2 papers)
- 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 4 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 23 | |
| 7 | 2020 | 3 | |
| 8 | 2017 | 137 | |
| 9 | 2016 | 15 | |
| 10 | 2015 | 1 | |
| 11 | 2015 | 10 | |
| 12 | 2013 | 64 | |
| 13 | 2012 | 82 | |
| 14 | 2012 | 63 | |
| 15 | 2012 | 88 | |
| 16 | 2011 | 95 | |
| 17 | 2010 | 83 | |
| 18 | 2010 | 224 | |
| 19 | 2010 | 11 | |
| 20 | 2007 | 76 |
About Qin Lan
Qin Lan is a scholar working on Nephrology, Immunology, Hepatology, Neurology and Physiology, 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), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Peripheral Neuropathies and Disorders (2 papers), COVID-19 Clinical Research Studies (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 Wesley A. Grimm. 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.