Sun M. Han

815 citations
9 papers · 609 · 1 hit paper · h-index 8

Impact in

Papers in

    • Gut microbiota and health 2
    • Kruppel-like factors research 1
    • ATP Synthase and ATPases Research 1
    • Galectins and Cancer Biology 1

Sun M. Han

8 papers receiving 598 citations

Sun M. Han's Hit Papers

Commensal bacteria make GPCR ligands that mimic human signalling molecules 2017 · 349 citations
3490+3+6Years since publication100200300

Peers

Sun M. Han
Comparison fields: 5 of 93
  • Biological Psychiatry 47
  • Molecular Biology 431
  • Physiology 138
  • Pharmacology 73
  • Gastroenterology 23
Replace Zélia Menezes‐Garcia with:
Zélia Menezes‐Garcia Brazil
Ge Jin China
Praveen Kumar Kalavagunta China
Rhiannon R. Aguilar United States
Seong-Hwan Kim South Korea
Shunfen Zhang China
Hayet Rafa Algeria
Sophie Castonguay-Paradis Canada
Alberto Rojas-Triana United States
Sung Hyun Moon South Korea
Sun M. Han relative to Zélia Menezes‐Garcia Brazil Zélia Menezes‐Garcia's profile →
Citations per field
00.5×1.5×2.1×
Zélia Menezes‐Garcia · 1×
Citations per year

Countries citing papers authored by Sun M. Han

Since Specialization
Citations

This map shows the geographic impact of Sun M. Han'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 Sun M. Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun M. Han more than expected).

Fields of papers citing papers by Sun M. Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun M. Han. 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 Sun M. Han. The network helps show where Sun M. Han may publish in the future.

Co-authors

The 25 scholars most cited alongside Sun M. Han, 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 Sun M. Han Line = papers co-authored together Sun M. Han links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Commensal bacteria make GPCR ligands that mimic human signalling molecules
Hit paper breakdown →
2017349
2 2019132
3 201463
4 201516
5 201614
6 201313
7 202211
8 201611
9 20240

About Sun M. Han

Sun M. Han is a scholar working on Molecular Biology, Immunology, Nutrition and Dietetics, Cancer Research and Biological Psychiatry, having authored 9 papers that have together received 609 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Gut microbiota and health (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Kruppel-like factors research (1 paper), Galectins and Cancer Biology (1 paper), ATP Synthase and ATPases Research (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Biological Psychiatry (47 citations), Molecular Biology (431 citations), Physiology (138 citations), Pharmacology (73 citations) and Gastroenterology (23 citations). Sun M. Han has collaborated with scholars based in South Korea and United States. Frequent co-authors include Sean F. Brady, Louis Cohen, Justin R. Cross, Amanda J. Pickard, Paula Y. Calle, Ana B. Emiliano, Seong-Hwan Kim, Craig P. Hunter, Rhiannon R. Aguilar and John Chu. Their work appears in journals such as Journal of Cellular Biochemistry, Journal of Veterinary Science, Cell Host & Microbe, Nature Communications and Nature.

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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