Gul Won Jang

923 citations
38 papers · 624 indexed · h-index 13
Topics
Genetic and phenotypic traits in livestock (24 papers)Genetic Mapping and Diversity in Plants and Animals (17 papers)Cancer-related molecular mechanisms research (10 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Gul Won Jang

34 papers receiving 608 citations

Peers

Gul Won Jang
Comparison fields: 5 of 70
  • Genetics 426
  • Cancer Research 195
  • Molecular Biology 176
  • Animal Science and Zoology 170
  • Physiology 61
Replace Gabriel Costa Monteiro Moreira with:
Gabriel Costa Monteiro Moreira Brazil
Longchao Zhang China
Kacper Żukowski Poland
Lucas Lima Verardo Brazil
Anne-Sophie Van Laere Belgium
Kaixing Qu China
Larissa Fernanda Simielli Fonseca Brazil
A.P. Rattink Netherlands
E. Scotti Italy
Zezhao Wang China
Gul Won Jang relative to Gabriel Costa Monteiro Moreira Brazil Gabriel Costa Monteiro Moreira's profile →
Citations per field
00.5×8.5×
Gabriel Costa Monteiro Moreira · 1×
Citations per year

Countries citing papers authored by Gul Won Jang

Since Specialization
Citations

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

Fields of papers citing papers by Gul Won Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gul Won Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Gul Won Jang. A scholar is included among the top collaborators of Gul Won 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 Gul Won Jang. Gul Won 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
#WorkIndexed citations
1 0
2 4
3 27
4 45
5 18
6 10
7 19
8 1
9 20
10 8
11 3
12 16
13 1
14 80
15 91
16 1
17 2
18 1
19 2
20 89

About Gul Won Jang

Gul Won Jang is a scholar working on Animal Science and Zoology, Genetics and Cancer Research, having authored 38 papers that have together received 624 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (24 papers), Genetic Mapping and Diversity in Plants and Animals (17 papers) and Cancer-related molecular mechanisms research (10 papers). The work is most often cited by research in Animal Science and Zoology (170 citations), Genetics (426 citations) and Cancer Research (195 citations). Gul Won Jang has collaborated with scholars based in South Korea, Australia and United States. Frequent co-authors include Bong‐Hwan Choi, Seung Hwan Lee, Jong‐Eun Park, Dajeong Lim, Duhak Yoon, Krishnamoorthy Srikanth, Ho Young Chung, Kyung‐Tai Lee, Cedric Gondro and Kwang Soo Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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