Seungil Kim

2.0k citations
34 papers · 1.3k indexed · 1 hit paper · h-index 13
Topics
Electromagnetic Scattering and Analysis (17 papers)Electromagnetic Simulation and Numerical Methods (15 papers)Numerical methods in engineering (6 papers)

In The Last Decade

Seungil Kim

33 papers receiving 1.3k citations

Hit Papers

Sensory Neuron-Specific GPCR Mrgprs Are Itch Receptors Me...20092026201420202009200400600

Peers

Seungil Kim
Comparison fields: 5 of 108
  • Dermatology 651
  • Physiology 387
  • Sensory Systems 311
  • Cellular and Molecular Neuroscience 285
  • Rheumatology 256
Replace Doreen Schmidl with:
Doreen Schmidl Austria
René M. Werkmeister Austria
Takuya Ishibashi Japan
Sushil K. Sarna United States
Michael R. Franz United States
Ting Gao China
Tuan D. Pham United States
Xiu Wang China
Shinsuke Nakayama Japan
Hiroshi Iwakura Japan
Seungil Kim relative to Doreen Schmidl Austria Doreen Schmidl's profile →
Citations per field
00.5×11.8×
Doreen Schmidl · 1×
Citations per year

Countries citing papers authored by Seungil Kim

Since Specialization
Citations

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

Fields of papers citing papers by Seungil Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seungil Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Seungil Kim. A scholar is included among the top collaborators of Seungil Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Seungil Kim. Seungil Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 6
3 4
4 3
5 7
6 3
7 6
8 71
9 1
10 13
11 45
12 10
13 85
14 3
15 215
16 34
17 13
18
Sensory Neuron-Specific GPCR Mrgprs Are Itch Receptors Mediating Chloroquine-Induced Pruritusbreakdown →
605
19 46
20 2

About Seungil Kim

Seungil Kim is a scholar working on Sensory Systems, Atomic and Molecular Physics, and Optics and Dermatology, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Electromagnetic Scattering and Analysis (17 papers), Electromagnetic Simulation and Numerical Methods (15 papers) and Numerical methods in engineering (6 papers). The work is most often cited by research in Dermatology (651 citations), Sensory Systems (311 citations) and Immunology and Allergy (182 citations). Seungil Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Zhou‐Feng Chen, Joseph Jeffry, Joseph E. Pasciak, Lenka Surdenikova, Qin Liu, Yun Guan, Fei Ru, Kush Patel, Zongxiang Tang and Hao-Jui Weng. Their work appears in journals such as Cell, Journal of Clinical Investigation and Journal of Neuroscience.

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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