Won‐Jong Jang

1.4k total citations
43 papers, 1.1k citations indexed

About

Won‐Jong Jang is a scholar working on Parasitology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Won‐Jong Jang has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Parasitology, 22 papers in Infectious Diseases and 14 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Won‐Jong Jang's work include Vector-borne infectious diseases (33 papers), Viral Infections and Vectors (19 papers) and Vector-Borne Animal Diseases (12 papers). Won‐Jong Jang is often cited by papers focused on Vector-borne infectious diseases (33 papers), Viral Infections and Vectors (19 papers) and Vector-Borne Animal Diseases (12 papers). Won‐Jong Jang collaborates with scholars based in South Korea, United States and Sweden. Won‐Jong Jang's co-authors include Kyung‐Hee Park, Gary S. Hayward, Jin‐Hyun Ahn, Yeon‐Joo Choi, Donald J. Alcendor, Frederick Y. Wu, Jinsong Xiao, S. Diane Hayward, Ethan Xu and Michael J. Matunis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Virology.

In The Last Decade

Won‐Jong Jang

39 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Won‐Jong Jang South Korea 16 663 449 292 221 204 43 1.1k
Taís B. Saito United States 17 580 0.9× 491 1.1× 199 0.7× 248 1.1× 78 0.4× 39 957
T O'Connor United States 15 433 0.7× 486 1.1× 467 1.6× 151 0.7× 94 0.5× 37 1.2k
Jennifer C. Miller United States 25 1.2k 1.8× 920 2.0× 198 0.7× 261 1.2× 243 1.2× 36 2.1k
Michael J. Dark United States 14 430 0.6× 273 0.6× 68 0.2× 151 0.7× 180 0.9× 44 872
Masahito Asada Japan 20 585 0.9× 214 0.5× 112 0.4× 240 1.1× 225 1.1× 78 969
Friederike D. von Loewenich Germany 20 1.1k 1.6× 988 2.2× 97 0.3× 431 2.0× 133 0.7× 48 1.5k
Agnieszka Pawełczyk Poland 17 536 0.8× 520 1.2× 274 0.9× 194 0.9× 37 0.2× 63 1.0k
Carol R. Wyatt United States 21 340 0.5× 303 0.7× 155 0.5× 123 0.6× 221 1.1× 49 1.3k
D C Jones United States 11 1.3k 2.0× 962 2.1× 77 0.3× 152 0.7× 238 1.2× 12 1.7k
Valeria Blanda Italy 17 538 0.8× 434 1.0× 51 0.2× 279 1.3× 97 0.5× 47 859

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-authorship network of co-authors of Won‐Jong Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Won‐Jong Jang. A scholar is included among the top collaborators of Won‐Jong Jang 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 Won‐Jong Jang. Won‐Jong Jang 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
1.
Choi, Yeon‐Joo, et al.. (2024). Whole genome sequence and comparative genomic analysis of novel Rickettsia koreansis strain CNH17-7 isolated from human. European Journal of Clinical Microbiology & Infectious Diseases. 43(10). 1909–1918.
2.
3.
Choi, Yeon‐Joo, Heung-Chul Kim, Terry A. Klein, et al.. (2023). Characterization of Spotted Fever Group Rickettsia in Ticks Collected from South Korea. Journal of Bacteriology and Virology. 53(2). 108–118. 1 indexed citations
4.
Ys, Kim, et al.. (2023). Molecular Typing on Human Blood Reveals the Borrelia afzelii Infection in Korea. Infection and Chemotherapy. 55(4). 500–500.
5.
Park, Hyejin, Yeon‐Joo Choi, Heung-Chul Kim, et al.. (2020). Tick-borne rickettsiae in Midwestern region of Republic of Korea. Acta Tropica. 215. 105794–105794. 8 indexed citations
6.
Jiang, Ju, Yeon‐Joo Choi, Heung-Chul Kim, et al.. (2019). Distribution of Rickettsia spp. in Ticks from Northwestern and Southwestern Provinces, Republic of Korea. Korean Journal of Parasitology. 57(2). 161–166. 13 indexed citations
7.
Jang, Won‐Jong, Mi‐Kyung Lee, Heung-Chul Kim, et al.. (2019). Detection of Candidatus Rickettsia tarasevichiae from tick collected from human patient, South Korea. Systematic and Applied Acarology. 24(2). 193–193. 2 indexed citations
8.
Choi, Yeon‐Joo, et al.. (2018). Geographical distribution of Orientia tsutsugamushi strains in chiggers from three provinces in Korea. Microbiology and Immunology. 62(9). 547–553. 11 indexed citations
9.
Ys, Kim, Yeon‐Joo Choi, Kyung‐Min Lee, et al.. (2017). First isolation of Rickettsia monacensis from a patient in South Korea. Microbiology and Immunology. 61(7). 258–263. 37 indexed citations
10.
Lee, In-Yong, Yeon‐Joo Choi, Sunhye Shin, et al.. (2014). Larval Chigger Mites Collected from Small Mammals in 3 Provinces, Korea. Korean Journal of Parasitology. 52(2). 225–229. 9 indexed citations
11.
Lee, Kyung‐Min, Yeon‐Joo Choi, Sunhye Shin, et al.. (2013). Spotted fever group rickettsia closely related to Rickettsia monacensis isolated from ticks in South Jeolla province, Korea. Microbiology and Immunology. 57(7). 487–495. 32 indexed citations
12.
Shin, Sunhye, Hyun-Ji Seo, Yeon‐Joo Choi, et al.. (2013). Detection of Rickettsia monacensis from Ixodes nipponensis collected from rodents in Gyeonggi and Gangwon Provinces, Republic of Korea. Experimental and Applied Acarology. 61(3). 337–347. 31 indexed citations
13.
Lee, Ji‐Hye, Won‐Jong Jang, Hyo‐Wook Gil, et al.. (2013). A case of scrub typhus requiring maintenance hemodialysis. SHILAP Revista de lepidopterología. 32(4). 190–193. 4 indexed citations
14.
Kim, Dong‐Min, et al.. (2008). Diagnosis of Scrub Typhus by Immunohistochemical Staining ofOrientia tsutsugamushiin Cutaneous Lesions. American Journal of Clinical Pathology. 130(4). 543–551. 13 indexed citations
15.
Yun, Ji‐Hyun, Keun‐Hwa Lee, Jin Won Hyun, et al.. (2008). Activation of mitogen‐activated protein kinases is involved in the induction of interferon β gene in macrophages infected with Orientia tsutsugamushi. Microbiology and Immunology. 53(2). 123–129. 9 indexed citations
16.
Cho, Nam‐Hyuk, Hang‐Rae Kim, Jung‐Hee Lee, et al.. (2007). The Orientia tsutsugamushi genome reveals massive proliferation of conjugative type IV secretion system and host–cell interaction genes. Proceedings of the National Academy of Sciences. 104(19). 7981–7986. 184 indexed citations
17.
Lee, Jung‐Hee, Eunju Jeong, Joon‐Seok Chae, et al.. (2005). Differentiation of Anaplasmataceae through Partial groEL Gene Analysis. Microbiology and Immunology. 49(7). 655–662. 12 indexed citations
18.
Lee, Seung‐Hyun, Jung‐Hee Lee, Won‐Jong Jang, et al.. (2003). Differentiation ofBorrelia burgdorferisensu lato throughgroELgene analysis. FEMS Microbiology Letters. 222(1). 51–57. 18 indexed citations
19.
20.
Arav‐Boger, Ravit, Rodney E. Willoughby, Robert F. Pass, et al.. (2002). Polymorphisms of the Cytomegalovirus (CMV)–Encoded Tumor Necrosis Factor–α and β‐Chemokine Receptors in Congenital CMV Disease. The Journal of Infectious Diseases. 186(8). 1057–1064. 87 indexed citations

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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