Eric T. Sun

1.4k citations
20 papers · 1.0k · 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

Eric T. Sun

20 papers receiving 956 citations

Peers

Eric T. Sun
Comparison fields: 5 of 78
  • Genetics 120
  • Cellular and Molecular Neuroscience 191
  • Oncology 261
  • Organic Chemistry 263
  • Molecular Biology 581
Replace Marijane Russell with:
Marijane Russell United States
Nigel J. Liverton United States
Wang‐Qing Liu France
Silvia Franchini Italy
Matthew M. Hayward United States
Roland Neuhaus Germany
Vered Klinghofer United States
Karima Bettayeb France
Jonathan S. Rosenblum United States
Damien Duveau United States
Eric T. Sun relative to Marijane Russell United States Marijane Russell's profile →
Citations per field
00.5×1.5×2.2×
Marijane Russell · 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 2011150
2 1980118
3 2011106
4 199381
5 197881
6 201180
7 198068
8 199053
9 198947
10 198240
11 201237
12 201230
13 199028
14 201024
15 197723
16 197915
17 201015
18 200614
19 20089
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), Neuroscience and Neuropharmacology Research (4 papers), Cancer-related Molecular Pathways (4 papers), Microtubule and mitosis dynamics (3 papers), Biochemical and Structural Characterization (3 papers), Peptidase Inhibition and Analysis (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (120 citations), Cellular and Molecular Neuroscience (191 citations), Oncology (261 citations), Organic Chemistry (263 citations) and Molecular Biology (581 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, Kee Chuan Goh, D. S. KEMP, Paul H. Taghert and Daniel J. Garland. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Biochemical and Biophysical Research Communications, Tetrahedron Letters and Biochemical Pharmacology.

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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