Jing Min
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
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- RNA Research and Splicing
- Metabolism, Diabetes, and Cancer
- RNA regulation and disease
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Protein Kinase Regulation and GTPase Signaling
Papers in
-
- RNA Research and Splicing 3
- Glycosylation and Glycoproteins Research 2
- RNA regulation and disease 2
- Ginseng Biological Effects and Applications 1
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- Plant Pathogens and Fungal Diseases 2
- Co-authors
- Nicholas O. Davidson (3 shared papers)Kenneth Coker (1 shared paper)Brian P. Ceresa (1 shared paper)Alan R. Saltiel (1 shared paper)Yoichi Noda (1 shared paper)Jeffrey S. Elmendorf (1 shared paper)Li-Jyun Syu (1 shared paper)Jeffrey E. Pessin (1 shared paper)
- Journals
- Journal of Lipid Research (2 papers)Journal of Clinical Oncology (2 papers)BioMed Research International (1 paper)Journal of Biological Chemistry (1 paper)Molecular Cell (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Jing Min
11 papers receiving 378 citations
Peers
Comparison fields: 5 of 57
- Cell Biology 123
- Molecular Biology 302
- Cancer Research 40
- Physiology 10
- Surgery 74
Countries citing papers authored by Jing Min
This map shows the geographic impact of Jing Min'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 Jing Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Min more than expected).
Fields of papers citing papers by Jing Min
This network shows the impact of papers produced by Jing Min. 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 Jing Min. The network helps show where Jing Min may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Min, 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 | 1999 | 161 | |
| 2 | 2001 | 86 | |
| 3 | 1994 | 36 | |
| 4 | 1997 | 28 | |
| 5 | 2010 | 20 | |
| 6 | 2016 | 20 | |
| 7 | 1997 | 17 | |
| 8 | 1995 | 14 | |
| 9 | 2004 | 5 | |
| 10 | Anti-inflammatory Effect of Total Saponins of Panax Japonicus | 2009 | 1 |
| 11 | 2004 | 1 |
About Jing Min
Jing Min is a scholar working on Molecular Biology, Cell Biology, Plant Science, Endocrine and Autonomic Systems and Cognitive Neuroscience, having authored 11 papers that have together received 389 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Plant Pathogens and Fungal Diseases (2 papers), Glycosylation and Glycoproteins Research (2 papers), RNA regulation and disease (2 papers), Ginseng Biological Effects and Applications (1 paper), Medicinal Plant Pharmacodynamics Research (1 paper), Plant Disease Resistance and Genetics (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Cell Biology (123 citations), Molecular Biology (302 citations), Cancer Research (40 citations), Physiology (10 citations) and Surgery (74 citations). Jing Min has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Nicholas O. Davidson, Kenneth Coker, Brian P. Ceresa, Alan R. Saltiel, Yoichi Noda, Jeffrey S. Elmendorf, Li-Jyun Syu, Jeffrey E. Pessin, Makoto Kanzaki and Shuichi Okada. Their work appears in journals such as Journal of Lipid Research, Journal of Clinical Oncology, BioMed Research International, Journal of Biological Chemistry and Molecular 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.