Song Cho

527 citations
15 papers · 345 · h-index 9

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 4
    • RNA modifications and cancer 3
    • Developmental Biology and Gene Regulation 2
    • Cancer Treatment and Pharmacology 2
    • HER2/EGFR in Cancer Research 2

Song Cho

14 papers receiving 338 citations

Peers

Song Cho
Comparison fields: 5 of 57
  • Oncology 157
  • Cancer Research 61
  • Molecular Biology 221
  • Radiology, Nuclear Medicine and Imaging 56
  • Dermatology 21
Replace Eiko Hayashi with:
Eiko Hayashi Japan
Ragnar S. Faye Norway
Franca De Paola Italy
Reyno Del Rosario United States
Diana P. English United States
Atsushi Fushimi Japan
Sinto Sebastian United States
Jarob Saker Germany
François Bourre France
Jens Wuerthner United States
Song Cho relative to Eiko Hayashi Japan Eiko Hayashi's profile →
Citations per field
00.5×1.5×2.3×
Eiko Hayashi · 1×
Citations per year

Countries citing papers authored by Song Cho

Since Specialization
Citations

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

Fields of papers citing papers by Song Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 199866
2 201151
3 201247
4 199938
5 202133
6 200025
7 201524
8 201423
9 200123
10
Rice : explorations into gay Asian culture + politics
19987
11 20134
12 20162
13 20131
14 20171
15 20230

About Song Cho

Song Cho is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 15 papers that have together received 345 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (4 papers), Prostate Cancer Treatment and Research (3 papers), RNA modifications and cancer (3 papers), Cancer Treatment and Pharmacology (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), HER2/EGFR in Cancer Research (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Developmental Biology and Gene Regulation (2 papers). The work is most often cited by research in Oncology (157 citations), Cancer Research (61 citations), Molecular Biology (221 citations), Radiology, Nuclear Medicine and Imaging (56 citations) and Dermatology (21 citations). Song Cho has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Timothy J. McDonnell, Maryse Delehedde, Julio Rodríguez‐Villanueva, Stanley K. Liu, Shawn Brisbay, Donnie S. Bundman, Dennis R. Roop, David A. Greenhalgh, Xiaojing Wang and Guillermina Lozano. Their work appears in journals such as Molecular Cancer Therapeutics, Oncogene, Cancer Research, Clinical Cancer Research and JNCI Journal of the National Cancer Institute.

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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