Dan Lan
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
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- Trauma, Hemostasis, Coagulopathy, Resuscitation
Papers in ⓘ
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- Muscle Physiology and Disorders 7
- RNA Research and Splicing 3
- Genetics 11
- Blood disorders and treatments 7
- Co-authors
- Liangming Liu (11 shared papers)Karl Welte (9 shared papers)Julia Skokowa (8 shared papers)Guangming Yang (7 shared papers)Yu Zhu (7 shared papers)Yue Wu (5 shared papers)Basant Kumar Thakur (2 shared papers)Kshama Gupta (3 shared papers)
- Journals
- Blood (6 papers)Endocrine Connections (3 papers)Nature Medicine (2 papers)Journal of Surgical Research (2 papers)The Journal of Trauma: Injury, Infection, and Critical Care (2 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Dan Lan
39 papers receiving 630 citations
Peers
Comparison fields: 5 of 85
- Geriatrics and Gerontology 72
- Critical Care and Intensive Care Medicine 57
- Physiology 31
- Immunology 138
- Emergency Medicine 60
Countries citing papers authored by Dan Lan
This map shows the geographic impact of Dan 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 Dan Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Lan more than expected).
Fields of papers citing papers by Dan Lan
This network shows the impact of papers produced by Dan 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 Dan Lan. The network helps show where Dan Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 167 | |
| 2 | 2012 | 62 | |
| 3 | 2014 | 54 | |
| 4 | 2016 | 42 | |
| 5 | 2014 | 37 | |
| 6 | 2013 | 27 | |
| 7 | 2019 | 27 | |
| 8 | 2009 | 25 | |
| 9 | 2012 | 24 | |
| 10 | 2009 | 23 | |
| 11 | 2015 | 17 | |
| 12 | 2021 | 15 | |
| 13 | 2022 | 12 | |
| 14 | 2013 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2016 | 9 | |
| 17 | 2016 | 8 | |
| 18 | 2017 | 7 | |
| 19 | 2020 | 7 | |
| 20 | 2015 | 7 |
About Dan Lan
Dan Lan is a scholar working on Molecular Biology, Genetics, Physiology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 42 papers that have together received 640 indexed citations. Recurring topics across this work include Blood disorders and treatments (7 papers), Muscle Physiology and Disorders (7 papers), Hypothalamic control of reproductive hormones (4 papers), Neutropenia and Cancer Infections (4 papers), RNA Research and Splicing (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Nitric Oxide and Endothelin Effects (3 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers). The work is most often cited by research in Geriatrics and Gerontology (72 citations), Critical Care and Intensive Care Medicine (57 citations), Physiology (31 citations), Immunology (138 citations) and Emergency Medicine (60 citations). Dan Lan has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Liangming Liu, Karl Welte, Julia Skokowa, Guangming Yang, Yu Zhu, Yue Wu, Basant Kumar Thakur, Kshama Gupta, Martin Stanulla and Xiangyun Chen. Their work appears in journals such as Blood, Endocrine Connections, Nature Medicine, Journal of Surgical Research and The Journal of Trauma: Injury, Infection, and Critical Care.
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.