Bo‐In Kwon

412 citations
24 papers · 341 · h-index 9

Impact in

    • IL-33, ST2, and ILC Pathways
    • Immune Cell Function and Interaction
    • Mast cells and histamine
    • Lymphatic System and Diseases

Papers in

Bo‐In Kwon

20 papers receiving 333 citations

Peers

Bo‐In Kwon
Comparison fields: 5 of 73
  • Immunology 84
  • Oncology 75
  • Physiology 65
  • Complementary and alternative medicine 16
  • Immunology and Allergy 10
Replace Shiqiang Shen with:
Shiqiang Shen China
Xiangsheng Li China
Marij A.C. Mieremet-Ooms Netherlands
И. В. Андрианова Russia
Odile Wéra Belgium
Pinru Wu China
Mohamed A. Ghonim United States
Lai‐Fong Kok Taiwan
Hongmei Piao China
Bo‐In Kwon relative to Shiqiang Shen China Shiqiang Shen's profile →
Citations per field
00.5×3.3×
Shiqiang Shen · 1×
Citations per year

Countries citing papers authored by Bo‐In Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Bo‐In Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201575
2 201747
3 201340
4 201739
5 201935
6 201629
7 201921
8 201816
9 201410
10 20207
11 20217
12 20194
13 20233
14 20202
15 20201
16 20231
17 20221
18 20231
19 20141
20 20241

About Bo‐In Kwon

Bo‐In Kwon is a scholar working on Physiology, Complementary and alternative medicine, Immunology, Pharmacology and Molecular Biology, having authored 24 papers that have together received 341 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (5 papers), Acupuncture Treatment Research Studies (3 papers), IL-33, ST2, and ILC Pathways (3 papers), Healthcare and Venom Research (3 papers), Natural product bioactivities and synthesis (2 papers), Allergic Rhinitis and Sensitization (2 papers), Traditional Chinese Medicine Studies (2 papers) and Plant chemical constituents analysis (2 papers). The work is most often cited by research in Immunology (84 citations), Oncology (75 citations), Physiology (65 citations), Complementary and alternative medicine (16 citations) and Immunology and Allergy (10 citations). Bo‐In Kwon has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Seung‐Hyo Lee, Jin Mi Chun, A Yeong Lee, Hyo Seon Kim, Kihyuk Shin, Byeong Cheol Moon, Hyeung Ju Park, Seokchan Hong, Tae Woo Kim and Young Kwon Hong. Their work appears in journals such as Journal of Ethnopharmacology, Medicine, Scientific Reports, Nature Communications and American Journal of Respiratory and Critical Care Medicine.

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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