Mingda Yan
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
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- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
Papers in
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- Ovarian cancer diagnosis and treatment 4
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- Fungal and yeast genetics research 3
- Protein Kinase Regulation and GTPase Signaling 2
- Redox biology and oxidative stress 2
- Co-authors
- Suresh Ellappa Subramani (5 shared papers)Naganand Rayapuram (2 shared papers)Zhongcheng Zheng (6 shared papers)Xinyuan Liu (5 shared papers)Lanying Sun (5 shared papers)Weijing Xu (4 shared papers)Weiguo Zou (2 shared papers)Hairong Huo (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Genes & Cancer (2 papers)Current Opinion in Cell Biology (1 paper)European Journal of Immunology (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Mingda Yan
20 papers receiving 844 citations
Peers
Comparison fields: 5 of 80
- Cell Biology 140
- Cancer Research 108
- Molecular Biology 407
- Biochemistry 37
- Epidemiology 147
Countries citing papers authored by Mingda Yan
This map shows the geographic impact of Mingda Yan'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 Mingda Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingda Yan more than expected).
Fields of papers citing papers by Mingda Yan
This network shows the impact of papers produced by Mingda Yan. 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 Mingda Yan. The network helps show where Mingda Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingda Yan, 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 | 2001 | 166 | |
| 2 | 2006 | 147 | |
| 3 | 2005 | 106 | |
| 4 | 2014 | 95 | |
| 5 | 2018 | 77 | |
| 6 | 2007 | 67 | |
| 7 | 2017 | 49 | |
| 8 | 1998 | 34 | |
| 9 | 2003 | 14 | |
| 10 | 2015 | 14 | |
| 11 | 2020 | 14 | |
| 12 | 2001 | 13 | |
| 13 | 2016 | 13 | |
| 14 | 2021 | 13 | |
| 15 | 2024 | 11 | |
| 16 | 2000 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2015 | 5 | |
| 19 | 2003 | 3 | |
| 20 | 2007 | 3 |
About Mingda Yan
Mingda Yan is a scholar working on Reproductive Medicine, Molecular Biology, Cancer Research, Cell Biology and Oncology, having authored 20 papers that have together received 857 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (4 papers), Fungal and yeast genetics research (3 papers), Cellular transport and secretion (2 papers), Autophagy in Disease and Therapy (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Redox biology and oxidative stress (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Cell Biology (140 citations), Cancer Research (108 citations), Molecular Biology (407 citations), Biochemistry (37 citations) and Epidemiology (147 citations). Mingda Yan has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Suresh Ellappa Subramani, Naganand Rayapuram, Zhongcheng Zheng, Xinyuan Liu, Lanying Sun, Weijing Xu, Weiguo Zou, Hairong Huo, Danny N. Dhanasekaran and Muralidharan Jayaraman. Their work appears in journals such as Biochemical and Biophysical Research Communications, Genes & Cancer, Current Opinion in Cell Biology, European Journal of Immunology and Molecular Biology of the Cell.
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.