Jong Shin

529 citations
16 papers · 381 · h-index 8

Impact in

Papers in

    • Polyomavirus and related diseases 6
    • Cancer Immunotherapy and Biomarkers 2
    • CAR-T cell therapy research 2
    • RNA modifications and cancer 2

Jong Shin

15 papers receiving 379 citations

Peers

Jong Shin
Comparison fields: 5 of 67
  • Cancer Research 68
  • Immunology 74
  • Oncology 89
  • Biochemistry 23
  • Clinical Biochemistry 19
Replace Carola Pongratz with:
Carola Pongratz Germany
Vitaly I. Pozdeev Germany
Shinya Takazaki Japan
Fumihiko Okumura Japan
Rob Nelissen Netherlands
Jingxiang Zhong China
Ying Kong China
Brett Burkholder United States
Satyananda Patel India
Jong Shin relative to Carola Pongratz Germany Carola Pongratz's profile →
Citations per field
00.5×11×
Carola Pongratz · 1×
Citations per year

Countries citing papers authored by Jong Shin

Since Specialization
Citations

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

Fields of papers citing papers by Jong Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2018150
2 202091
3 202329
4
JC virus infection in cells from lymphoid tissue.
199823
5 201722
6 202317
7 202011
8 201410
9 20136
10 20166
11 20226
12 20175
13 20142
14 20252
15 20241
16 20250

About Jong Shin

Jong Shin is a scholar working on Oncology, Molecular Biology, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 16 papers that have together received 381 indexed citations. Recurring topics across this work include Polyomavirus and related diseases (6 papers), Full-Duplex Wireless Communications (4 papers), Antenna Design and Analysis (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Plant Virus Research Studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA modifications and cancer (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Cancer Research (68 citations), Immunology (74 citations), Oncology (89 citations), Biochemistry (23 citations) and Clinical Biochemistry (19 citations). Jong Shin has collaborated with scholars based in United States, Canada and Indonesia. Frequent co-authors include Richard Possemato, Thales Papagiannakopoulos, Vladislav O. Sviderskiy, Kıvanç Birsoy, Minwoo Nam, Denise R. Minton, Samantha Alvarez, Daniel J. McLaughlin, Erol C. Bayraktar and David M. Sabatini. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Protein Expression and Purification, Virology and Journal of Dental 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.

Explore authors with similar magnitude of impact