Danjun Ma
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Immunology and Allergy top 10%
Papers in
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- Metabolism, Diabetes, and Cancer 6
- Protein Kinase Regulation and GTPase Signaling 2
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- Advanced Proteomics Techniques and Applications 6
- Mass Spectrometry Techniques and Applications 3
- Co-authors
- Zhengping Yi (8 shared papers)Gary Guishan Xiao (6 shared papers)Jing Xiao (4 shared papers)Yingchun Zhao (5 shared papers)Robert R. Recker (5 shared papers)Xiangmin Zhang (6 shared papers)Zoran Gatalica (1 shared paper)Zhaoyi Wang (1 shared paper)
- Journals
- Journal of Proteome Research (4 papers)Molecular Plant Pathology (2 papers)Allergy (2 papers)Journal of Proteomics (2 papers)Obesity (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Danjun Ma
38 papers receiving 909 citations
Peers
Comparison fields: 5 of 99
- Cancer Research 192
- Immunology and Allergy 41
- Molecular Biology 482
- Cell Biology 100
- Hepatology 30
Countries citing papers authored by Danjun Ma
This map shows the geographic impact of Danjun Ma'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 Danjun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danjun Ma more than expected).
Fields of papers citing papers by Danjun Ma
This network shows the impact of papers produced by Danjun Ma. 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 Danjun Ma. The network helps show where Danjun Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Danjun Ma, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 102 | |
| 2 | 2013 | 98 | |
| 3 | 2005 | 91 | |
| 4 | 2013 | 75 | |
| 5 | 2014 | 55 | |
| 6 | 2013 | 44 | |
| 7 | 2010 | 34 | |
| 8 | 2016 | 33 | |
| 9 | 2018 | 32 | |
| 10 | 2007 | 31 | |
| 11 | 2015 | 28 | |
| 12 | 2011 | 27 | |
| 13 | 2018 | 26 | |
| 14 | 2014 | 25 | |
| 15 | 2011 | 21 | |
| 16 | 2019 | 20 | |
| 17 | 2018 | 18 | |
| 18 | 2009 | 17 | |
| 19 | 2016 | 17 | |
| 20 | 2012 | 15 |
About Danjun Ma
Danjun Ma is a scholar working on Molecular Biology, Spectroscopy, Surgery, Immunology and Cancer Research, having authored 38 papers that have together received 917 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (6 papers), Advanced Proteomics Techniques and Applications (6 papers), Pancreatic function and diabetes (3 papers), Mass Spectrometry Techniques and Applications (3 papers), interferon and immune responses (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Adipose Tissue and Metabolism (2 papers) and Plant-Microbe Interactions and Immunity (2 papers). The work is most often cited by research in Cancer Research (192 citations), Immunology and Allergy (41 citations), Molecular Biology (482 citations), Cell Biology (100 citations) and Hepatology (30 citations). Danjun Ma has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhengping Yi, Gary Guishan Xiao, Jing Xiao, Yingchun Zhao, Robert R. Recker, Xiangmin Zhang, Zoran Gatalica, Zhaoyi Wang, Michael Caruso and Caishu Deng. Their work appears in journals such as Journal of Proteome Research, Molecular Plant Pathology, Allergy, Journal of Proteomics and Obesity.
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.