Hee Kim

25 papers receiving 719 citations

Peers

Hee Kim
Comparison fields: 5 of 90
  • Molecular Medicine 68
  • Pharmacology 181
  • Physiology 259
  • Complementary and alternative medicine 66
  • Biochemistry 39
Replace Ali Reza A. Ladiwala with:
Ali Reza A. Ladiwala United States
Stéphanie Andrade Portugal
Yair Porat Israel
Ken‐ichi Akagi Japan
Nobuto Kakuda Japan
Parveen Salahuddin India
Mario Caruana Malta
M. Masuda Japan
Melissa A. Moss United States
Tarek Mohamed Canada
Hee Kim relative to Ali Reza A. Ladiwala United States Ali Reza A. Ladiwala's profile →
Citations per field
00.5×1.5×2.2×
Ali Reza A. Ladiwala · 1×
Citations per year

Countries citing papers authored by Hee Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hee Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee Kim. 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 Hee Kim. The network helps show where Hee Kim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005276
2 2004111
3 201459
4 201654
5 201743
6 201733
7 201926
8 201923
9 201819
10 200318
11 200413
12 202113
13 202211
14 202210
15 20068
16 20126
17 20164
18 20114
19 20033
20 19962

About Hee Kim

Hee Kim is a scholar working on Physiology, Pharmacology, Computational Theory and Mathematics, Electronic, Optical and Magnetic Materials and Molecular Biology, having authored 27 papers that have together received 741 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (8 papers), Alzheimer's disease research and treatments (7 papers), Computational Drug Discovery Methods (3 papers), Liquid Crystal Research Advancements (3 papers), Advanced Mathematical Theories and Applications (2 papers), Phosphodiesterase function and regulation (2 papers), Prenatal Substance Exposure Effects (2 papers) and Maternal Mental Health During Pregnancy and Postpartum (2 papers). The work is most often cited by research in Molecular Medicine (68 citations), Pharmacology (181 citations), Physiology (259 citations), Complementary and alternative medicine (66 citations) and Biochemistry (39 citations). Hee Kim has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Byeoung‐Soo Park, Sung Sik Jang, Cheol Yong Choi, Kwang‐Geun Lee, Sung‐Eun Lee, Young‐Ho Kim, Jeewoo Lee, Dong Hyun Kim, Hyun Seok Hong and Inhee Mook‐Jung. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Pediatric Research, Pharmaceuticals and Journal of Agricultural and Food Chemistry.

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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