Heesik Yoon

1.0k citations
10 papers · 730 · h-index 9

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
  • Hepatology top 10%
    • Hepatitis C virus research

Papers in

    • Respiratory viral infections research 3
    • Hepatitis B Virus Studies 2
    • Immunotherapy and Immune Responses 5
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 2

Heesik Yoon

10 papers receiving 716 citations

Peers

Heesik Yoon
Comparison fields: 5 of 77
  • Immunology 309
  • Hepatology 103
  • Epidemiology 345
  • Infectious Diseases 131
  • Animal Science and Zoology 42
Replace Xuezhi Cao with:
Xuezhi Cao China
Natasha Corbitt United States
Leiyun Weng China
Hana Schmeisser United States
Moeko Miyashita Japan
A. Zhou United States
Laura Arribillaga Spain
Yuki Nishimura‐Sakurai Japan
J S Twu United States
Christopher S. Barker United States
Heesik Yoon relative to Xuezhi Cao China Xuezhi Cao's profile →
Citations per field
00.5×1.5×2.0×
Xuezhi Cao · 1×
Citations per year

Countries citing papers authored by Heesik Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Heesik Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1999222
2 2017141
3 200496
4 201089
5 202083
6 200741
7 199820
8 199917
9 202216
10 20035

About Heesik Yoon

Heesik Yoon is a scholar working on Epidemiology, Immunology, Infectious Diseases, Molecular Biology and Surgery, having authored 10 papers that have together received 730 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Respiratory viral infections research (3 papers), Immune Cell Function and Interaction (3 papers), Hepatitis B Virus Studies (2 papers), T-cell and B-cell Immunology (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Animal Virus Infections Studies (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Immunology (309 citations), Hepatology (103 citations), Epidemiology (345 citations), Infectious Diseases (131 citations) and Animal Science and Zoology (42 citations). Heesik Yoon has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Thomas J. Braciale, Taeg S. Kim, Darin Edwards, Hyung‐Bae Moon, Chul‐Ho Lee, Yong‐Mahn Han, Seishi Murakami, Chul-Sang Lee, Edith Jasny and Benjamin Petsch. Their work appears in journals such as The Journal of Immunology, Virus Research, Journal of Translational Medicine, Science Immunology and Journal of Hepatology.

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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