Hongui Cha

2.2k citations
14 papers · 526 · h-index 12

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Treatments and Studies
    • Cancer Genomics and Diagnostics

Papers in

Hongui Cha

14 papers receiving 521 citations

Peers

Hongui Cha
Comparison fields: 5 of 62
  • Oncology 294
  • Cancer Research 150
  • Pulmonary and Respiratory Medicine 221
  • Radiology, Nuclear Medicine and Imaging 125
  • Immunology 97
Replace Masahiro Ohara with:
Masahiro Ohara Japan
Katherine Minichiello United States
Adam G. Mace United States
Coraline Bence France
Masashi Mikubo Japan
Tetsuya So Japan
He-San Luo China
Ningning Dong China
Bhumsuk Keam South Korea
Chia‐Chi Lin Taiwan
Hongui Cha relative to Masahiro Ohara Japan Masahiro Ohara's profile →
Citations per field
00.5×
Masahiro Ohara · 1×
Citations per year

Countries citing papers authored by Hongui Cha

Since Specialization
Citations

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

Fields of papers citing papers by Hongui Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 202093
2 201885
3 201774
4 201974
5 201934
6 202230
7 202025
8 202020
9 202420
10 202219
11 202317
12 202215
13 202410
14 202010

About Hongui Cha

Hongui Cha is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 526 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Cancer Immunotherapy and Biomarkers (6 papers), Lung Cancer Treatments and Mutations (5 papers), Genetic factors in colorectal cancer (2 papers), Immunotherapy and Immune Responses (2 papers), RNA modifications and cancer (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Oncology (294 citations), Cancer Research (150 citations), Pulmonary and Respiratory Medicine (221 citations), Radiology, Nuclear Medicine and Imaging (125 citations) and Immunology (97 citations). Hongui Cha has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Jin Seok Ahn, Myung‐Ju Ahn, Se‐Hoon Lee, Woong‐Yang Park, Keunchil Park, Jin-Ho Kim, Yoon‐La Choi, Je‐Gun Joung, Jong‐Mu Sun and Hong Sook Kim. Their work appears in journals such as Annals of Oncology, Cancer Research, Clinical Cancer Research, Scientific Reports and Nature Genetics.

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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