JungHo Kong

400 citations
13 papers · 229 indexed · 1 hit paper · h-index 7

JungHo Kong

12 papers receiving 226 citations

Hit Papers

Network-based machine learning approach to predict immuno...12620222026202320244080120

Peers

JungHo Kong
Comparison fields: 5 of 58
  • Health Informatics 8
  • Oncology 99
  • Cancer Research 43
  • Immunology 36
  • Molecular Biology 99
Replace Doyeon Ha with:
Doyeon Ha South Korea
Mehmet A. Baysal United States
Adrián Mosquera Orgueira Spain
Sofia Nomikou United States
D. Lucas Kerr United States
Michele L. Lenoue-Newton United States
Liren Jiang China
Maria Irene Pastena Italy
Zhan Hua China
José Ángel Díaz Arias Spain
JungHo Kong relative to Doyeon Ha South Korea Doyeon Ha's profile →
Citations per field
00.5×1.5×
Doyeon Ha · 1×
Citations per year

Countries citing papers authored by JungHo Kong

Since Specialization
Citations

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

Fields of papers citing papers by JungHo Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by JungHo Kong. 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 JungHo Kong. The network helps show where JungHo Kong may publish in the future.

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 202415
2 202412
3 20246
4 20242
5 20230
6
Network-based machine learning approach to predict immunotherapy response in cancer patientsbreakdown →
2022126
7 20224
8 202214
9 20227
10 20202
11 201925
12 20196
13 201910

About JungHo Kong

JungHo Kong is a scholar working on Oncology, Pharmacy and Oral Surgery, having authored 13 papers that have together received 229 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Bioinformatics and Genomic Networks (3 papers), Ferroptosis and cancer prognosis (3 papers), Single-cell and spatial transcriptomics (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer Genomics and Diagnostics (2 papers) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Health Informatics (8 citations), Oncology (99 citations) and Cancer Research (43 citations). JungHo Kong has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Sanguk Kim, Doyeon Ha, Juhun Lee, Kunyoo Shin, Sin‐Hyeog Im, Donghyo Kim, Seong Kyu Han, Trey Ideker, Robin E. Bachelder and Xiaoyu Zhao.

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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