Chang‐Sook Hong

3.3k citations
37 papers · 2.6k · h-index 23

Impact in

    • MicroRNA in disease regulation
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

    • Extracellular vesicles in disease 20
    • Immunotherapy and Immune Responses 5
    • Reproductive System and Pregnancy 3
    • Immune Cell Function and Interaction 3

Chang‐Sook Hong

36 papers receiving 2.6k citations

Peers

Chang‐Sook Hong
Comparison fields: 5 of 100
  • Cancer Research 930
  • Immunology 598
  • Physiology 135
  • Molecular Biology 1.9k
  • Immunology and Allergy 89
Replace Tanya Tolmachova with:
Tanya Tolmachova United Kingdom
Katarina Trajković Germany
Noa B. Martín‐Cófreces Spain
Oktay Kirak United States
Craig Mickanin United States
Ralf Dressel Germany
Kristoffer Riecken Germany
Anna Żółkiewska United States
Erik R. Abels Netherlands
Steffen Runz Germany
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Citations per field
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Citations per year

Countries citing papers authored by Chang‐Sook Hong

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Sook Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang‐Sook Hong. 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 Chang‐Sook Hong. The network helps show where Chang‐Sook Hong may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014376
2 2017290
3 2016251
4 2013199
5 2014192
6 2017175
7 2017141
8 201297
9 201096
10 200882
11 202072
12 201971
13 201169
14 201964
15 199952
16 202151
17 199746
18 201129
19 201729
20 199628

About Chang‐Sook Hong

Chang‐Sook Hong is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Epidemiology, having authored 37 papers that have together received 2.6k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (20 papers), MicroRNA in disease regulation (9 papers), Immunotherapy and Immune Responses (5 papers), Reproductive System and Pregnancy (3 papers), Herpesvirus Infections and Treatments (3 papers), Immune Cell Function and Interaction (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Cancer Research (930 citations), Immunology (598 citations), Physiology (135 citations), Molecular Biology (1.9k citations) and Immunology and Allergy (89 citations). Chang‐Sook Hong has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Theresa L. Whiteside, Laurent Müller, Michael Boyiadzis, Edwin K. Jackson, Simon C. Watkins, Donna B. Stolz, Marie‐Nicole Theodoraki, Sonja Ludwig, Priyanka Sharma and Patricia Simms. Their work appears in journals such as Blood, Journal of Extracellular Vesicles, Neuroreport, Scientific Reports and Experimental Hematology.

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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