Junmin Song

32 papers receiving 321 citations

Junmin Song's Hit Papers

Update 2025: Management of Non‑Small-Cell Lung Cancer 2025 · 34 citations
340Years since publication102030

Peers

Junmin Song
Comparison fields: 5 of 65
  • Pathology and Forensic Medicine 80
  • Biological Psychiatry 6
  • Gastroenterology 12
  • Oncology 58
  • Cancer Research 31
Replace Kequn Xu with:
Kequn Xu China
Maria del Carmen Sancho‐Serra Netherlands
Erika Pedone Italy
Heng Lu China
Andrew Nguyen United States
Shane E. Russell Ireland
Dóra Krikovszky Hungary
Amber Hildreth United States
K Washington United States
Tshela E. Mason United States
Junmin Song relative to Kequn Xu China Kequn Xu's profile →
Citations per field
00.5×10×
Kequn Xu · 1×
Citations per year

Countries citing papers authored by Junmin Song

Since Specialization
Citations

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

Fields of papers citing papers by Junmin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Microsatellite instability-associated mutations associate preferentially with the intestinal type of primary gastric carcinomas in a high-risk population.
199684
2
Update 2025: Management of Non‑Small-Cell Lung Cancer
Hit paper breakdown →
202534
3 201732
4 200819
5 202318
6 202218
7 200818
8 202414
9 202312
10 202210
11 20078
12 20258
13 20237
14 20256
15 20246
16 20225
17 20234
18 20223
19 20243
20 20243

About Junmin Song

Junmin Song is a scholar working on Oncology, Surgery, Molecular Biology, Genetics and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 328 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (5 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Peptidase Inhibition and Analysis (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (80 citations), Biological Psychiatry (6 citations), Gastroenterology (12 citations), Oncology (58 citations) and Cancer Research (31 citations). Junmin Song has collaborated with scholars based in United States, Taiwan and South Korea. Frequent co-authors include Ju Yeong Lee, Eul‐Ju Seo, Mun‐Gan Rhyu, S. W. Choi, Yong Tae Jung, Yeun‐Jun Chung, Jae Il Shin, Harjot Singh Gill, Shuai Wang and Haiying Cheng. Their work appears in journals such as The Spine Journal, Blood, Oncology, Journal of Clinical Oncology and Circulation.

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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