Sun M. Han

831 citations
9 papers · 640 · 1 hit paper · h-index 8

Impact in

Papers in

    • Gut microbiota and health 2
    • Glycosylation and Glycoproteins Research 1
    • Mitochondrial Function and Pathology 1
    • Galectins and Cancer Biology 1
    • Immunotherapy and Immune Responses 1

Sun M. Han

9 papers receiving 630 citations

Sun M. Han's Hit Papers

Commensal bacteria make GPCR ligands that mimic human signalling molecules 2017 · 370 citations
3700+3+6Years since publication100200300

Peers

Sun M. Han
Comparison fields: 5 of 93
  • Biological Psychiatry 48
  • Molecular Biology 433
  • Physiology 138
  • Gastroenterology 25
  • Pharmacology 74
Replace Zélia Menezes‐Garcia with:
Zélia Menezes‐Garcia Brazil
Rhiannon R. Aguilar United States
Seong-Hwan Kim South Korea
Hayet Rafa Algeria
Jennifer S. Goldsby United States
Hideo Ohira Japan
Sophie Castonguay-Paradis Canada
Martin Roumain Belgium
Samantha A. Scott United States
Sun M. Han relative to Zélia Menezes‐Garcia Brazil Zélia Menezes‐Garcia's profile →
Citations per field
00.5×1.5×2.5×
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 →
2017370
2 2019138
3 201465
4 201516
5 201614
6 201314
7 202211
8 201611
9 20241

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 640 indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (2 papers), Gut microbiota and health (2 papers), MicroRNA in disease regulation (2 papers), Glycosylation and Glycoproteins Research (1 paper), Galectins and Cancer Biology (1 paper), Immunotherapy and Immune Responses (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Biological Psychiatry (48 citations), Molecular Biology (433 citations), Physiology (138 citations), Gastroenterology (25 citations) and Pharmacology (74 citations). Sun M. Han has collaborated with scholars based in United States and South Korea. Frequent co-authors include Louis Cohen, Sean F. Brady, Justin R. Cross, Amanda J. Pickard, Emma A. Gordon, Craig P. Hunter, J. Kipchirchir Bitok, Seong-Hwan Kim, Rhiannon R. Aguilar and Ana B. Emiliano. Their work appears in journals such as Immunology Letters, Journal of Cellular Biochemistry, Journal of Virology, Biochemical and Biophysical Research 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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