Sangjune Shin

14 papers receiving 1.2k citations

Sangjune Shin's Hit Papers

Tumorigenicity of virus-transformed cells in nude mice is correlated specifically with anchorage independent growth in vitro. 1975 · 682 citations
6820+17+34Years since publication200400600

Peers

Sangjune Shin
Comparison fields: 5 of 102
  • Immunology and Allergy 89
  • Genetics 362
  • Cancer Research 166
  • Molecular Biology 699
  • Oncology 252
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J I Gordon United States
Richard K. Barth United States
Agnes Fütterer Spain
Rosetta Kingston United Kingdom
Monique Flacher France
Nadia Malagolini Italy
P J Dawson United States
Sharlotte Kovacic United States
Michael R. Rubira Australia
Susan B. Dillon United States
Sangjune Shin relative to J I Gordon United States J I Gordon's profile →
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Citations per year

Countries citing papers authored by Sangjune Shin

Since Specialization
Citations

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

Fields of papers citing papers by Sangjune Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Tumorigenicity of virus-transformed cells in nude mice is correlated specifically with anchorage independent growth in vitro.
Hit paper breakdown →
1975682
2 1979155
3 1980138
4 1982102
5 201161
6 201557
7 197156
8 202336
9 198232
10 197331
11 198630
12 20233
13 20082
14 20081
15 20080

About Sangjune Shin

Sangjune Shin is a scholar working on Animal Science and Zoology, Genetics, Biotechnology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (5 papers), Virus-based gene therapy research (5 papers), Biochemical and Molecular Research (3 papers), Cancer Research and Treatments (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Immunology and Allergy (89 citations), Genetics (362 citations), Cancer Research (166 citations), Molecular Biology (699 citations) and Oncology (252 citations). Sangjune Shin has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include R Risser, Robert Pollack, Victoria H. Freedman, Patricia Kahn, Sang‐Gi Paik, Nikoline Leo Fleischer, Michael F. Michelis, MARCELLO SINISCALCO, J. D. Clemens and Peter Richard Cook. Their work appears in journals such as Proceedings of the National Academy of Sciences, Transboundary and Emerging Diseases, Molecular and Cellular Biology, The Journal of Cell Biology and Journal of Veterinary Science.

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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