Yuanjun He
- Molecular Biology top 10%
- Melanoma and MAPK Pathways 5
- Peroxisome Proliferator-Activated Receptors 5
- Receptor Mechanisms and Signaling 4
- Retinoids in leukemia and cellular processes 3
- Metabolism, Diabetes, and Cancer 3
- Kruppel-like factors research 3
- Biochemistry top 5%
- Physiology top 10%
- Adipose Tissue and Metabolism 3
-
- Cancer Mechanisms and Therapy 5
- Co-authors
- Patrick R. GriffinTheodore M. KameneckaScott A. BusbyMichael J. ChalmersMichael D. CameronJohn B. BruningSalvatore D. LeporeMarcel Koenig
- Journals
- Bioorganic & Medicinal Chemistry Letters (6 papers)The Journal of Organic Chemistry (3 papers)Molecular Cancer Therapeutics (2 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Yuanjun He
34 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.2k
- Endocrine and Autonomic Systems 111
- Biochemistry 106
- Physiology 301
- Aging 17
Countries citing papers authored by Yuanjun He
This map shows the geographic impact of Yuanjun He'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 Yuanjun He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanjun He more than expected).
Fields of papers citing papers by Yuanjun He
This network shows the impact of papers produced by Yuanjun He. 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 Yuanjun He. The network helps show where Yuanjun He may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuanjun He, 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 | 2021 | 33 | |
| 2 | 2021 | 3 | |
| 3 | 2019 | 8 | |
| 4 | 2019 | 12 | |
| 5 | 2018 | 85 | |
| 6 | 2017 | 23 | |
| 7 | 2015 | 53 | |
| 8 | 2015 | 33 | |
| 9 | 2014 | 8 | |
| 10 | 2013 | 43 | |
| 11 | 2013 | 19 | |
| 12 | ML311: A Small Molecule that Potently and Selectively Disrupts the Protein-Protein Interaction of Mcl-1 and Bim: A Probe for Studying Lymphoid Tumorigenesis | 2013 | 6 |
| 13 | 2012 | 17 | |
| 14 | 2011 | 37 | |
| 15 | 2011 | 22 | |
| 16 | 2010 | 15 | |
| 17 | 2009 | 24 | |
| 18 | 2009 | 134 | |
| 19 | 2007 | 315 | |
| 20 | 2003 | 94 |
About Yuanjun He
Yuanjun He is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Immunology, Organic Chemistry and Biochemistry, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Cancer Mechanisms and Therapy (5 papers), Receptor Mechanisms and Signaling (4 papers), Retinoids in leukemia and cellular processes (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Kruppel-like factors research (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Endocrine and Autonomic Systems (111 citations), Biochemistry (106 citations), Physiology (301 citations) and Aging (17 citations). Yuanjun He has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Patrick R. Griffin, Theodore M. Kamenecka, Scott A. Busby, Michael J. Chalmers, Michael D. Cameron, John B. Bruning, Salvatore D. Lepore, Marcel Koenig, Swati Prasad and K.W. Nettles. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, The Journal of Organic Chemistry, Molecular Cancer Therapeutics, Journal of Medicinal Chemistry and ACS Chemical Biology.
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.