Eric T. Sun
Impact in
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
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- Neuroscience and Neuropharmacology Research
- Neurobiology and Insect Physiology Research
Papers in ⓘ
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- Chemical Synthesis and Analysis 7
- Biochemical and Structural Characterization 3
- Oncology 9
- Cancer-related Molecular Pathways 4
- Peptidase Inhibition and Analysis 3
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Daniel H. Rich (5 shared papers)E H Ulm (1 shared paper)Anthony D. William (7 shared papers)Brian Dymock (5 shared papers)Ramesh Jayaraman (4 shared papers)Kantharaj Ethirajulu (4 shared papers)Paul H. Taghert (1 shared paper)D. S. KEMP (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (5 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Neurochemical Research (1 paper)Tetrahedron Letters (1 paper)Leukemia (1 paper)
- Partner nations
- United StatesSingapore
In The Last Decade
Eric T. Sun
20 papers receiving 949 citations
Peers
Comparison fields: 5 of 80
- Genetics 125
- Cellular and Molecular Neuroscience 191
- Oncology 265
- Organic Chemistry 264
- Molecular Biology 596
Countries citing papers authored by Eric T. Sun
This map shows the geographic impact of Eric T. Sun'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 Eric T. Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric T. Sun more than expected).
Fields of papers citing papers by Eric T. Sun
This network shows the impact of papers produced by Eric T. Sun. 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 Eric T. Sun. The network helps show where Eric T. Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric T. Sun, 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 | 2011 | 149 | |
| 2 | 1980 | 119 | |
| 3 | 2011 | 105 | |
| 4 | 1993 | 81 | |
| 5 | 1978 | 81 | |
| 6 | 2011 | 78 | |
| 7 | 1980 | 68 | |
| 8 | 1990 | 54 | |
| 9 | 1989 | 47 | |
| 10 | 1982 | 40 | |
| 11 | 2012 | 36 | |
| 12 | 2012 | 29 | |
| 13 | 1990 | 28 | |
| 14 | 2010 | 24 | |
| 15 | 1977 | 23 | |
| 16 | 2010 | 15 | |
| 17 | 1979 | 15 | |
| 18 | 2006 | 14 | |
| 19 | 2008 | 8 | |
| 20 | 1992 | 4 |
About Eric T. Sun
Eric T. Sun is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Cell Biology and Organic Chemistry, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (7 papers), Cancer-related Molecular Pathways (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Peptidase Inhibition and Analysis (3 papers), Microtubule and mitosis dynamics (3 papers), Biochemical and Structural Characterization (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (125 citations), Cellular and Molecular Neuroscience (191 citations), Oncology (265 citations), Organic Chemistry (264 citations) and Molecular Biology (596 citations). Eric T. Sun has collaborated with scholars based in United States and Singapore. Frequent co-authors include Daniel H. Rich, E H Ulm, Anthony D. William, Brian Dymock, Ramesh Jayaraman, Kantharaj Ethirajulu, Paul H. Taghert, D. S. KEMP, Daniel J. Garland and Kee Chuan Goh. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Neurochemical Research, Tetrahedron Letters and Leukemia.
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.