Michael S. Oh

1.4k citations
36 papers · 752 · h-index 16

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies

Papers in

    • Cancer Immunotherapy and Biomarkers 13
    • Lung Cancer Research Studies 4
    • vaccines and immunoinformatics approaches 3

Michael S. Oh

33 papers receiving 745 citations

Peers

Michael S. Oh
Comparison fields: 5 of 76
  • Cancer Research 161
  • Oncology 255
  • Pulmonary and Respiratory Medicine 170
  • Physiology 25
  • Immunology 105
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Josephine Hai United States
Liangdong Li China
Shweta Aras United States
Meejeon Roh United States
Dingkong Liang China
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Laura Gómez-Cuadrado United Kingdom
Mikkel G. Terp Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Michael S. Oh

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Oh. 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 Michael S. Oh. The network helps show where Michael S. Oh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018100
2 201590
3 201969
4 202062
5 201955
6 202455
7 201751
8 202034
9 201327
10 201724
11 201820
12 201920
13 202018
14 201818
15 202016
16 202415
17 202112
18 202010
19 20239
20 20258

About Michael S. Oh

Michael S. Oh is a scholar working on Oncology, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 36 papers that have together received 752 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (13 papers), Cancer Genomics and Diagnostics (9 papers), Lung Cancer Treatments and Mutations (8 papers), Genetic factors in colorectal cancer (5 papers), Lung Cancer Research Studies (4 papers), Immunotherapy and Immune Responses (4 papers), vaccines and immunoinformatics approaches (3 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Cancer Research (161 citations), Oncology (255 citations), Pulmonary and Respiratory Medicine (170 citations), Physiology (25 citations) and Immunology (105 citations). Michael S. Oh has collaborated with scholars based in United States, South Korea and Switzerland. Frequent co-authors include Young Kwang Chae, Francis J. Giles, Jonathan F. Anker, Pietro De Camilli, Karin M. Reinisch, Jeremy M. Baskin, Curtis Schauder, Preeti Bais, Sandeep Namburi and Amir Behdad. Their work appears in journals such as Journal of Thoracic Oncology, Cancer Research, Journal of Clinical Oncology, Translational Lung Cancer Research and JCO Precision Oncology.

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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