Dan Chen
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Endocrinology top 5%
Papers in
-
- Plant Reproductive Biology 12
- DNA Repair Mechanisms 7
- Photosynthetic Processes and Mechanisms 7
- RNA and protein synthesis mechanisms 4
-
- Plant Molecular Biology Research 10
- Plant Virus Research Studies 5
- Plant Disease Resistance and Genetics 4
- Co-authors
- Ellen V. Rothenberg (5 shared papers)Jie Zhao (1 shared paper)B Wold (1 shared paper)Paul Garrity (1 shared paper)William C. Nierman (3 shared papers)Fabrice N. Gravelat (2 shared papers)Donald C. Sheppard (2 shared papers)Ulf Gyllensten (1 shared paper)
- Journals
- Scientific Reports (3 papers)Virus Genes (3 papers)Molecular and Cellular Biology (3 papers)The Plant Journal (2 papers)Frontiers in Plant Science (2 papers)
- Partner nations
- ChinaUnited StatesHungary
In The Last Decade
Dan Chen
71 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 119
- Cancer Research 265
- Endocrinology 77
- Molecular Biology 998
- Plant Science 532
- Immunology 209
Countries citing papers authored by Dan Chen
This map shows the geographic impact of Dan Chen'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 Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Chen more than expected).
Fields of papers citing papers by Dan Chen
This network shows the impact of papers produced by Dan Chen. 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 Chen. The network helps show where Dan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Chen, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 117 | |
| 2 | 2008 | 103 | |
| 3 | 2015 | 99 | |
| 4 | 2013 | 99 | |
| 5 | 2014 | 82 | |
| 6 | 2019 | 75 | |
| 7 | 2002 | 69 | |
| 8 | 2008 | 68 | |
| 9 | 2009 | 65 | |
| 10 | 2016 | 63 | |
| 11 | 2010 | 56 | |
| 12 | 2017 | 52 | |
| 13 | 2008 | 50 | |
| 14 | 2016 | 49 | |
| 15 | 2008 | 46 | |
| 16 | 2007 | 44 | |
| 17 | 2018 | 39 | |
| 18 | 2014 | 37 | |
| 19 | 2016 | 36 | |
| 20 | 2017 | 34 |
About Dan Chen
Dan Chen is a scholar working on Molecular Biology, Plant Science, Immunology, Genetics and Cancer Research, having authored 75 papers that have together received 1.9k indexed citations. Recurring topics across this work include Plant Reproductive Biology (12 papers), Plant Molecular Biology Research (10 papers), DNA Repair Mechanisms (7 papers), Photosynthetic Processes and Mechanisms (7 papers), Plant Virus Research Studies (5 papers), Plant and Fungal Interactions Research (4 papers), Plant Disease Resistance and Genetics (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Cancer Research (265 citations), Endocrinology (77 citations), Molecular Biology (998 citations), Plant Science (532 citations) and Immunology (209 citations). Dan Chen has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Ellen V. Rothenberg, Jie Zhao, B Wold, Paul Garrity, William C. Nierman, Fabrice N. Gravelat, Donald C. Sheppard, Ulf Gyllensten, Yan Yu and Kwame Twumasi‐Boateng. Their work appears in journals such as Scientific Reports, Virus Genes, Molecular and Cellular Biology, The Plant Journal and Frontiers in Plant Science.
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.