Eric T. Sun

1.4k citations
20 papers · 1.0k indexed · h-index 16

Impact in

Papers in

    • Chemical Synthesis and Analysis 7
    • Biochemical and Structural Characterization 3
    • Cancer-related Molecular Pathways 4
    • Peptidase Inhibition and Analysis 3
    • Cytokine Signaling Pathways and Interactions 2

Eric T. Sun

20 papers receiving 949 citations

Peers

Eric T. Sun
Comparison fields: 5 of 80
  • Genetics 125
  • Cellular and Molecular Neuroscience 191
  • Oncology 265
  • Organic Chemistry 264
  • Molecular Biology 596
Replace Shin‐ichi Tsukamoto with:
Shin‐ichi Tsukamoto Japan
Nigel J. Liverton United States
Marijane Russell United States
Christopher H. Hill United Kingdom
Geoffrey Lawton United Kingdom
Wang‐Qing Liu France
Paul Rose United States
Silvia Franchini Italy
Roland Neuhaus Germany
Roland Feifel Switzerland
Eric T. Sun relative to Shin‐ichi Tsukamoto Japan Shin‐ichi Tsukamoto's profile →
Citations per field
00.5×1.5×1.8×
Shin‐ichi Tsukamoto · 1×
Citations per year

Countries citing papers authored by Eric T. Sun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Eric T. Sun Line = papers co-authored together Eric T. Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2011149
2 1980119
3 2011105
4 199381
5 197881
6 201178
7 198068
8 199054
9 198947
10 198240
11 201236
12 201229
13 199028
14 201024
15 197723
16 201015
17 197915
18 200614
19 20088
20 19924

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.

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