Jin‐Yi Han

1.3k citations
44 papers · 1.1k · h-index 19

Impact in

Papers in

Jin‐Yi Han

43 papers receiving 1.0k citations

Peers

Jin‐Yi Han
Comparison fields: 5 of 105
  • Biological Psychiatry 66
  • Neurology 141
  • Complementary and alternative medicine 84
  • Pharmacology 86
  • Biophysics 51
Replace Yani Zou with:
Yani Zou United States
Alejandro K. Samhan‐Arias Spain
Samuel E. Schriner United States
Sarika Singh India
Dennis Y. Chuang United States
Jan Seyfried Germany
Ritushree Kukreti India
Senthilkumar Sivanesan India
Gianluca Miglio Italy
Xueji Zhang China
Jin‐Yi Han relative to Yani Zou United States Yani Zou's profile →
Citations per field
00.5×3.9×
Yani Zou · 1×
Citations per year

Countries citing papers authored by Jin‐Yi Han

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Yi Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Yi 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 Jin‐Yi Han. The network helps show where Jin‐Yi Han may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001129
2 2012122
3 201287
4 202184
5 200653
6 201449
7 201143
8 201342
9 201041
10 201140
11 202133
12 201432
13 201328
14 201221
15 201221
16 201319
17 201218
18 202018
19 200118
20 201117

About Jin‐Yi Han

Jin‐Yi Han is a scholar working on Molecular Biology, Pharmacology, Surgery, Cancer Research and Cellular and Molecular Neuroscience, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ginseng Biological Effects and Applications (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Sleep and Wakefulness Research (5 papers), Biochemical Analysis and Sensing Techniques (4 papers), Biological and pharmacological studies of plants (4 papers), Tea Polyphenols and Effects (3 papers), Magnolia and Illicium research (3 papers) and Liquid Crystal Research Advancements (3 papers). The work is most often cited by research in Biological Psychiatry (66 citations), Neurology (141 citations), Complementary and alternative medicine (84 citations), Pharmacology (86 citations) and Biophysics (51 citations). Jin‐Yi Han has collaborated with scholars based in South Korea, China and Japan. Frequent co-authors include Ki‐Wan Oh, Jin Tae Hong, Hideo Utsumi, Keizo Takeshita, Sang‐Bae Han, Chung-Soo Kim, Dong‐Young Choi, Sung-Kwang Yoo, Chung Il Lee and Young‐Jung Lee. Their work appears in journals such as Archives of Pharmacal Research, Evidence-based Complementary and Alternative Medicine, Biomolecules & Therapeutics, Scientific Reports and Journal of Neuroinflammation.

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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