Eung‐Jun Im

855 citations
13 papers · 652 · h-index 11

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune responses and vaccinations

Papers in

    • HIV Research and Treatment 10
    • Immunotherapy and Immune Responses 6
    • Immune Cell Function and Interaction 5
    • Immune responses and vaccinations 3
    • Immunodeficiency and Autoimmune Disorders 1

Eung‐Jun Im

13 papers receiving 641 citations

Peers

Eung‐Jun Im
Comparison fields: 5 of 48
  • Virology 351
  • Immunology 414
  • Infectious Diseases 169
  • Pharmaceutical Science 24
  • Molecular Biology 270
Replace Kenji Someya with:
Kenji Someya Japan
Genoveffa Franchini United States
Sailaja Gangadhara United States
John-Paul Todd United States
Maria Hottelet Foley United States
R J Pomerantz United States
Maria Luisa Visciano United States
Lindsay Wieczorek United States
Jacob Archer United States
Florence Boudet France
Eung‐Jun Im relative to Kenji Someya Japan Kenji Someya's profile →
Citations per field
00.5×5.8×
Kenji Someya · 1×
Citations per year

Countries citing papers authored by Eung‐Jun Im

Since Specialization
Citations

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

Fields of papers citing papers by Eung‐Jun Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eung‐Jun Im. 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 Eung‐Jun Im. The network helps show where Eung‐Jun Im may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2007216
2 2013154
3 201159
4 200740
5 200433
6 200731
7 201026
8 201325
9 200621
10 201120
11 200713
12 20137
13 20117

About Eung‐Jun Im

Eung‐Jun Im is a scholar working on Virology, Immunology, Molecular Biology, Epidemiology and Infectious Diseases, having authored 13 papers that have together received 652 indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), Immunotherapy and Immune Responses (6 papers), vaccines and immunoinformatics approaches (5 papers), Immune Cell Function and Interaction (5 papers), Immune responses and vaccinations (3 papers), Tuberculosis Research and Epidemiology (2 papers), Transgenic Plants and Applications (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Virology (351 citations), Immunology (414 citations), Infectious Diseases (169 citations), Pharmaceutical Science (24 citations) and Molecular Biology (270 citations). Eung‐Jun Im has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Tomáš Hanke, Anne Bridgeman, Andrew J. McMichael, Sven Létourneau, Hongbing Yang, Tumelo Mashishi, Bette Korber, Lucy Dorrell, Tao Dong and Dan H. Barouch. Their work appears in journals such as Journal of Virology, PLoS ONE, European Journal of Immunology, PLoS Pathogens and Science Translational Medicine.

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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