Yan Deng
Impact in
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Biotechnology top 5%
- Transgenic Plants and Applications
Papers in
-
- Photosynthetic Processes and Mechanisms 6
- Renal and related cancers 2
- Epidemiology 10
- Autophagy in Disease and Therapy 5
- Cytomegalovirus and herpesvirus research 2
- Co-authors
- Stephen H. Howell (9 shared papers)Renu Srivastava (4 shared papers)Steven J. Rothstein (2 shared papers)Sabrina Humbert (2 shared papers)Jian‐Xiang Liu (1 shared paper)Renu Srivastava (3 shared papers)Diane C. Bassham (1 shared paper)Shweta Shah (1 shared paper)
- Journals
- The Plant Cell (2 papers)PLoS ONE (2 papers)The Plant Journal (2 papers)Proceedings of the National Academy of Sciences (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yan Deng
21 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 77
- Cell Biology 627
- Biotechnology 167
- Plant Science 655
- Epidemiology 409
- Molecular Biology 693
Countries citing papers authored by Yan Deng
This map shows the geographic impact of Yan Deng'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 Yan Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Deng more than expected).
Fields of papers citing papers by Yan Deng
This network shows the impact of papers produced by Yan Deng. 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 Yan Deng. The network helps show where Yan Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Deng, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 383 | |
| 2 | 2012 | 230 | |
| 3 | 2013 | 144 | |
| 4 | 2013 | 110 | |
| 5 | 2013 | 95 | |
| 6 | 2016 | 89 | |
| 7 | 2014 | 70 | |
| 8 | 2012 | 55 | |
| 9 | 2012 | 40 | |
| 10 | 2016 | 31 | |
| 11 | 2015 | 29 | |
| 12 | 2012 | 23 | |
| 13 | 2024 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2018 | 4 | |
| 16 | 2014 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2017 | 3 | |
| 19 | 2020 | 3 | |
| 20 | Significance of the preoperative guidance of dual-source CT in carotid body tumor. | 2010 | 3 |
About Yan Deng
Yan Deng is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Surgery and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (8 papers), Photosynthetic Processes and Mechanisms (6 papers), Autophagy in Disease and Therapy (5 papers), Renal and related cancers (2 papers), Viral Infections and Immunology Research (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Plant Stress Responses and Tolerance (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Cell Biology (627 citations), Biotechnology (167 citations), Plant Science (655 citations), Epidemiology (409 citations) and Molecular Biology (693 citations). Yan Deng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Stephen H. Howell, Renu Srivastava, Steven J. Rothstein, Sabrina Humbert, Jian‐Xiang Liu, Renu Srivastava, Diane C. Bassham, Shweta Shah, A. Gururaj Rao and Rahul Srivastava. Their work appears in journals such as The Plant Cell, PLoS ONE, The Plant Journal, Proceedings of the National Academy of Sciences 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.