Won‐Sik Shim

66 papers receiving 2.7k citations

Won‐Sik Shim's Hit Papers

TMEM16A confers receptor-activated calcium-dependent chloride conductance 2008 · 1.1k citations
1.1k0+6+12Years since publication2505007501000

Peers

Won‐Sik Shim
Comparison fields: 5 of 114
  • Sensory Systems 664
  • Dermatology 492
  • Pharmaceutical Science 237
  • Immunology and Allergy 214
  • Cellular and Molecular Neuroscience 434
Replace Jeong Hee Hong with:
Jeong Hee Hong South Korea
Metin Artuc Germany
Nicholas A. Veldhuis Australia
Hyeon Ho Kim South Korea
Chander Raman United States
Tadahide Furuno Japan
Akinori Ueno Japan
Jianping Gao United States
Kazutake Tsujikawa Japan
Gary A. Clawson United States
Won‐Sik Shim relative to Jeong Hee Hong South Korea Jeong Hee Hong's profile →
Citations per field
00.5×8.5×
Jeong Hee Hong · 1×
Citations per year

Countries citing papers authored by Won‐Sik Shim

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Sik Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won‐Sik Shim. 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 Won‐Sik Shim. The network helps show where Won‐Sik Shim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TMEM16A confers receptor-activated calcium-dependent chloride conductance
Hit paper breakdown →
20081051
2 2007363
3 2008128
4 2008119
5 2004109
6 2008104
7 201168
8 200952
9 201250
10 200649
11 200934
12 201030
13 201229
14 201326
15 201526
16 201526
17 201426
18 201526
19 202125
20 201325

About Won‐Sik Shim

Won‐Sik Shim is a scholar working on Molecular Biology, Dermatology, Oncology, Sensory Systems and Pharmacology, having authored 69 papers that have together received 2.8k indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (21 papers), Ion Channels and Receptors (16 papers), Drug Transport and Resistance Mechanisms (14 papers), Urticaria and Related Conditions (9 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Pharmacological Effects of Natural Compounds (5 papers), Allergic Rhinitis and Sensitization (4 papers) and Herbal Medicine Research Studies (4 papers). The work is most often cited by research in Sensory Systems (664 citations), Dermatology (492 citations), Pharmaceutical Science (237 citations), Immunology and Allergy (214 citations) and Cellular and Molecular Neuroscience (434 citations). Won‐Sik Shim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Uhtaek Oh, Byung Moon Kim, Young Yang, Hawon Cho, Young Kee Shin, Byeongjun Lee, Jesun Lee, Seung Pyo Park, Ramin Raouf and Chang‐Koo Shim. Their work appears in journals such as Journal of Ethnopharmacology, Biomolecules & Therapeutics, Xenobiotica, Archives of Pharmacal Research and International Journal of Pharmaceutics.

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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