In‐Su Kim

4.3k citations
111 papers · 3.4k · h-index 33

Impact in

Papers in

In‐Su Kim

103 papers receiving 3.3k citations

Peers

In‐Su Kim
Comparison fields: 5 of 151
  • Neurology 442
  • Complementary and alternative medicine 395
  • Biological Psychiatry 113
  • Biochemistry 185
  • Pharmacology 208
Replace Seung‐Hwan Kwon with:
Seung‐Hwan Kwon South Korea
Byung Tae Choi South Korea
Thakur Gurjeet Singh India
George Hsiao Taiwan
Huanxing Su Macao
Kai‐Li Liu China
Sheikh Azimullah United Arab Emirates
Sasanka Chakrabarti India
Wolf‐Dieter Rausch Austria
Abolhassan Ahmadiani Iran
In‐Su Kim relative to Seung‐Hwan Kwon South Korea Seung‐Hwan Kwon's profile →
Citations per field
00.5×1.5×
Seung‐Hwan Kwon · 1×
Citations per year

Countries citing papers authored by In‐Su Kim

Since Specialization
Citations

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

Fields of papers citing papers by In‐Su Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013301
2 2019224
3 2019190
4 2021159
5 2013113
6 2015106
7 201298
8 201591
9 201987
10 202080
11 201276
12 201874
13 201470
14 201367
15 201866
16 201864
17 201861
18 202060
19 201158
20 201054

About In‐Su Kim

In‐Su Kim is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Complementary and alternative medicine and Electrical and Electronic Engineering, having authored 111 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Medicinal Plants and Neuroprotection (11 papers), Ferroelectric and Piezoelectric Materials (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Receptor Mechanisms and Signaling (7 papers), Alzheimer's disease research and treatments (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Acoustic Wave Resonator Technologies (5 papers). The work is most often cited by research in Neurology (442 citations), Complementary and alternative medicine (395 citations), Biological Psychiatry (113 citations), Biochemistry (185 citations) and Pharmacology (208 citations). In‐Su Kim has collaborated with scholars based in South Korea, Australia and Japan. Frequent co-authors include Dong‐Kug Choi, Md. Ezazul Haque, Shofiul Azam, Byung-Wook Kim, Md. Jakaria, Sandeep Vasant More, Hemant Kumar, Duk-Yeon Cho, Sushruta Koppula and Palanivel Ganesan. Their work appears in journals such as International Journal of Molecular Sciences, Molecules, Journal of Alloys and Compounds, Archives of Pharmacal Research and Antioxidants.

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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