Sun‐Hee Heo

1.8k citations
43 papers · 1.5k · h-index 22

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • CAR-T cell therapy research
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Immunotherapy and Immune Responses 5
    • Immune Cell Function and Interaction 4
    • Protease and Inhibitor Mechanisms 3

Sun‐Hee Heo

43 papers receiving 1.5k citations

Peers

Sun‐Hee Heo
Comparison fields: 5 of 91
  • Oncology 474
  • Immunology 377
  • Periodontics 58
  • Cancer Research 165
  • Molecular Biology 531
Replace Nikolay Evgenievich Kushlinskii with:
Nikolay Evgenievich Kushlinskii Russia
Suresh Veeramani United States
Satoru Shinriki Japan
Hua‐Chien Chen Taiwan
Marta Krašovec Slovenia
Eri Arai Japan
Gabriel Wong United States
Ryan Chau Chia Chai Australia
Sun‐Hee Heo relative to Nikolay Evgenievich Kushlinskii Russia Nikolay Evgenievich Kushlinskii's profile →
Citations per field
00.5×2×2.9×
Nikolay Evgenievich Kushlinskii · 1×
Citations per year

Countries citing papers authored by Sun‐Hee Heo

Since Specialization
Citations

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

Fields of papers citing papers by Sun‐Hee Heo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007144
2 2016115
3 2018101
4 201499
5 201798
6 201766
7 201066
8 201665
9 201161
10 201455
11 200847
12 201942
13 201835
14 201833
15 201632
16 201730
17 201928
18 201627
19 201425
20 201624

About Sun‐Hee Heo

Sun‐Hee Heo is a scholar working on Immunology, Cancer Research, Oncology, Molecular Biology and Immunology and Allergy, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), RNA modifications and cancer (3 papers), Gut microbiota and health (3 papers), Bone Metabolism and Diseases (3 papers), Protease and Inhibitor Mechanisms (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Oncology (474 citations), Immunology (377 citations), Periodontics (58 citations), Cancer Research (165 citations) and Molecular Biology (531 citations). Sun‐Hee Heo has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Je‐Yoel Cho, Gyungyub Gong, Young‐Ae Kim, In Ah Park, In Hye Song, Hee Jin Lee, Hyun‐Mo Ryoo, Hye Seon Park, Won Seon Bang and Seung‐Jin Lee. Their work appears in journals such as Oncotarget, Cancer Research and Treatment, Gene Expression, BMB Reports and Journal of Proteome Research.

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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