Gang‐Joon Heo

1.8k citations
86 papers · 1.4k indexed · h-index 23

Gang‐Joon Heo

84 papers receiving 1.4k citations

Peers

Gang‐Joon Heo
Comparison fields: 5 of 101
  • Endocrinology 363
  • Immunology 859
  • Molecular Medicine 188
  • Aquatic Science 194
  • Microbiology 165
Replace Sabrina Hossain with:
Sabrina Hossain South Korea
Jesús A. Santos Spain
Carlos Augusto Gomes Leal Brazil
Jens Laurits Larsen Denmark
Mahmoud Mabrok Egypt
F. Acosta Spain
Andrés Otero Spain
Saeed Khan United States
Kidon Sung United States
José Ramos-Vivas Spain
Gang‐Joon Heo relative to Sabrina Hossain South Korea Sabrina Hossain's profile →
Citations per field
00.5×3.3×
Sabrina Hossain · 1×
Citations per year

Countries citing papers authored by Gang‐Joon Heo

Since Specialization
Citations

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

Fields of papers citing papers by Gang‐Joon Heo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gang‐Joon Heo. 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 Gang‐Joon Heo. The network helps show where Gang‐Joon Heo may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20225
4 20215
5 20218
6 20206
7 201924
8 20196
9 201916
10 201849
11 201824
12
Antibiotic Resistance and Virulence-Associated Gene Profiles of Edwardsiella tarda Isolated from Cultured Fish in Japan
201812
13 201787
14 201411
15 201310
16
Antimicrobial Activity of Thymol against Pathogenic Gram-negative Bacteria of Fishes
201211
17 200638
18 200619
19
Detection of Marine Birnavirus (MBV) from Rockfish Sebastes schlegeli Using Reverse Transcription and Nested PCR
20004
20
Genetic Analysis of the VP2/NS Junction Region on Segment A of Marine Birnavirus Isolated from Cultured Flounder Paralichthys olivaceous
200011

About Gang‐Joon Heo

Gang‐Joon Heo is a scholar working on Endocrinology, Molecular Medicine and Immunology, having authored 86 papers that have together received 1.4k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (66 papers), Vibrio bacteria research studies (22 papers), Identification and Quantification in Food (15 papers), Antibiotic Resistance in Bacteria (15 papers), Pharmaceutical and Antibiotic Environmental Impacts (11 papers), Parasite Biology and Host Interactions (9 papers), Turtle Biology and Conservation (8 papers) and Essential Oils and Antimicrobial Activity (8 papers). The work is most often cited by research in Endocrinology (363 citations), Immunology (859 citations) and Molecular Medicine (188 citations). Gang‐Joon Heo has collaborated with scholars based in South Korea, Japan and New Zealand. Frequent co-authors include Sabrina Hossain, B.C.J. De Silva, P.S. Dahanayake, S.H.M.P. Wimalasena, Mahanama De Zoysa, Chamilani Nikapitiya, S.H.S. Dananjaya, Jehee Lee, Gee‐Wook Shin and Jeong‐Ho Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, Molecules and Aquaculture.

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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