Oh‐Deog Kwon

1.6k citations
89 papers · 1.3k · h-index 20

Impact in

  • Parasitology top 0.5%
    • Vector-borne infectious diseases
    • Parasitic Infections and Diagnostics
    • Toxoplasma gondii Research Studies
    • Viral Infections and Vectors
    • Amoebic Infections and Treatments

Papers in

Oh‐Deog Kwon

87 papers receiving 1.2k citations

Peers

Oh‐Deog Kwon
Comparison fields: 5 of 97
  • Parasitology 762
  • Infectious Diseases 507
  • Family Practice 42
  • Ecology, Evolution, Behavior and Systematics 327
  • Insect Science 104
Replace Youn‐Kyoung Goo with:
Youn‐Kyoung Goo South Korea
Gustave Simo Cameroon
Adil Khan Pakistan
Francine C. Paim Brazil
Süleyman Yazar Türkiye
Charles S. Pavia United States
Josipa Kuleš Croatia
Ahmet Kalkan Türkiye
Vesna Matijatko Croatia
Norikazu Isoda Japan
Oh‐Deog Kwon relative to Youn‐Kyoung Goo South Korea Youn‐Kyoung Goo's profile →
Citations per field
00.5×1.5×
Youn‐Kyoung Goo · 1×
Citations per year

Countries citing papers authored by Oh‐Deog Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Oh‐Deog Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201976
2 199859
3 200357
4 201655
5 199554
6 201850
7 201644
8 201844
9 202134
10 201632
11 201330
12 201828
13 201827
14 200326
15 201123
16 202022
17 201622
18 201721
19 201621
20 201920

About Oh‐Deog Kwon

Oh‐Deog Kwon is a scholar working on Parasitology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Epidemiology and Animal Science and Zoology, having authored 89 papers that have together received 1.3k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (31 papers), Viral Infections and Vectors (21 papers), Vector-Borne Animal Diseases (19 papers), Parasitic Infections and Diagnostics (15 papers), Insect and Pesticide Research (6 papers), Herpesvirus Infections and Treatments (5 papers), Parasitic infections in humans and animals (5 papers) and Animal Virus Infections Studies (5 papers). The work is most often cited by research in Parasitology (762 citations), Infectious Diseases (507 citations), Family Practice (42 citations), Ecology, Evolution, Behavior and Systematics (327 citations) and Insect Science (104 citations). Oh‐Deog Kwon has collaborated with scholars based in South Korea, United States and Philippines. Frequent co-authors include Dongmi Kwak, Min-Goo Seo, Seung‐Hun Lee, In-Ohk Ouh, Seung Jae Kim, Man Hee Rhee, Jong Wan Kim, Ho-Chun Choi, Youn‐Kyoung Goo and Tae‐Hwan Kim. Their work appears in journals such as PLoS ONE, Veterinary Parasitology, Ticks and Tick-borne Diseases, Pathogens and Animals.

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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