Won‐Jong Jang

39 papers receiving 1.1k citations

Peers

Won‐Jong Jang
Comparison fields: 5 of 62
  • Parasitology 663
  • Infectious Diseases 449
  • Insect Science 147
  • Ecology, Evolution, Behavior and Systematics 221
  • Epidemiology 292
Replace Taís B. Saito with:
Taís B. Saito United States
Michael J. Dark United States
Friederike D. von Loewenich Germany
Jennifer C. Miller United States
Agnieszka Pawełczyk Poland
Anjan Purkayastha United States
Jan Kopecký Czechia
Carol R. Wyatt United States
Curtis M. Nelson United States
Jing Jing Khoo Malaysia
Won‐Jong Jang relative to Taís B. Saito United States Taís B. Saito's profile →
Citations per field
00.5×1.5×1.9×
Taís B. Saito · 1×
Citations per year

Countries citing papers authored by Won‐Jong Jang

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Jong Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007184
2 2001133
3 200287
4 200185
5 200173
6 200371
7 200461
8 200746
9 201737
10 200333
11 201332
12 201331
13 200524
14 200522
15 200318
16 200717
17 200915
18 201114
19 200813
20 201913

About Won‐Jong Jang

Won‐Jong Jang is a scholar working on Parasitology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Insect Science and Public Health, Environmental and Occupational Health, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (33 papers), Viral Infections and Vectors (19 papers), Vector-Borne Animal Diseases (12 papers), Mosquito-borne diseases and control (6 papers), Yersinia bacterium, plague, ectoparasites research (4 papers), Insect symbiosis and bacterial influences (4 papers), Insect and Pesticide Research (4 papers) and Cytomegalovirus and herpesvirus research (4 papers). The work is most often cited by research in Parasitology (663 citations), Infectious Diseases (449 citations), Insect Science (147 citations), Ecology, Evolution, Behavior and Systematics (221 citations) and Epidemiology (292 citations). Won‐Jong Jang has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Kyung‐Hee Park, Gary S. Hayward, Jin‐Hyun Ahn, Yeon‐Joo Choi, Donald J. Alcendor, Jinsong Xiao, Frederick Y. Wu, S. Diane Hayward, Ethan Xu and Michael J. Matunis. Their work appears in journals such as Systematic and Applied Acarology, Journal of Virology, Microbiology and Immunology, American Journal of Rhinology and Allergy and FEBS Letters.

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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