Hee Kee Kim

3.5k citations
35 papers · 2.9k · h-index 25

Impact in

  • Physiology top 1%
    • Pain Mechanisms and Treatments
    • Pharmacological Effects of Natural Compounds

Papers in

Hee Kee Kim

34 papers receiving 2.8k citations

Peers

Hee Kee Kim
Comparison fields: 5 of 108
  • Physiology 1.4k
  • Pharmacology 270
  • Cellular and Molecular Neuroscience 520
  • Pharmacology 418
  • Biochemistry 144
Replace Vinod Tiwari with:
Vinod Tiwari India
Laura Micheli Italy
Keith Bley United States
Irina G. Obrosova United States
Xiaoliang Wang China
Jérôme Busserolles France
Yi‐Ching Lo Taiwan
Ashutosh Kumar India
Mariapia Colleoni Italy
Xiu Gao China
Hee Kee Kim relative to Vinod Tiwari India Vinod Tiwari's profile →
Citations per field
00.5×1.5×
Vinod Tiwari · 1×
Citations per year

Countries citing papers authored by Hee Kee Kim

Since Specialization
Citations

This map shows the geographic impact of Hee Kee 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 Kee 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 Kee Kim more than expected).

Fields of papers citing papers by Hee Kee Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999485
2 2004385
3 2007225
4 2011219
5 2007144
6 2004126
7 2019124
8 2006113
9 2005113
10 2010111
11 1998100
12 200874
13 200762
14
Treatment of Chemotherapy-Induced Peripheral Neuropathy: Systematic Review and Recommendations.
201862
15 200959
16 199355
17 202154
18 201951
19 201741
20 201040

About Hee Kee Kim

Hee Kee Kim is a scholar working on Physiology, Molecular Biology, Oncology, Pharmacology and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (28 papers), Cancer Treatment and Pharmacology (9 papers), Ion channel regulation and function (8 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neuropeptides and Animal Physiology (3 papers) and Myofascial pain diagnosis and treatment (2 papers). The work is most often cited by research in Physiology (1.4k citations), Pharmacology (270 citations), Cellular and Molecular Neuroscience (520 citations), Pharmacology (418 citations) and Biochemistry (144 citations). Hee Kee Kim has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Jin Mo Chung, Kyungsoon Chung, Salahadin Abdi, Xiu Gao, Young Ha Kim, Sung Yong Kim, Jigong Wang, Soon Kwon Park, Giulio Taglialatela and Richard E. Coggeshall. Their work appears in journals such as Pain, Frontiers in Pharmacology, Molecular Pain, Anesthesia & Analgesia and Archives of Pharmacal Research.

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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