Mingyang Song

29.2k citations
364 papers · 11.7k indexed · 9 hit papers · h-index 56

Impact in

Papers in

Mingyang Song

345 papers receiving 11.6k citations

Hit Papers

Association of ultra-processed food consumption with all cause and cause specific mortality: population based cohort study 2024 · 47 citations
472015202620182022100200300400500

Peers

Mingyang Song
Comparison fields: 5 of 185
  • Oncology 3.5k
  • Cancer Research 1.5k
  • Public Health, Environmental and Occupational Health 2.6k
  • Physiology 2.2k
  • Pathology and Forensic Medicine 1.5k
Replace Neal D. Freedman with:
Neal D. Freedman United States
Motoki Iwasaki Japan
Domenico Palli Italy
Nobuyuki Hamajima Japan
Kenji Wakai Japan
Amanda J. Cross United States
Christian C. Abnet United States
Shizuka Sasazuki Japan
Wong‐Ho Chow United States
Farhad Islami United States
Mingyang Song relative to Neal D. Freedman United States Neal D. Freedman's profile →
Citations per field
00.5×1.5×
Neal D. Freedman · 1×
Citations per year

Countries citing papers authored by Mingyang Song

Since Specialization
Citations

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

Fields of papers citing papers by Mingyang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20244
5 20231
6 20230
7 20239
8 20232
9 20235
10 20223
11 202142
12 20208
13 201940
14 201917
15 20186
16 201832
17 201632
18 201532
19 201534
20 201431

About Mingyang Song

Mingyang Song is a scholar working on Oncology, Public Health, Environmental and Occupational Health, Physiology, Pathology and Forensic Medicine and Cancer Research, having authored 364 papers that have together received 11.7k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (85 papers), Nutritional Studies and Diet (83 papers), Diet and metabolism studies (43 papers), Gastric Cancer Management and Outcomes (32 papers), Nutrition and Health in Aging (31 papers), Cancer, Lipids, and Metabolism (29 papers), Genetic factors in colorectal cancer (28 papers) and Cancer Risks and Factors (26 papers). The work is most often cited by research in Oncology (3.5k citations), Cancer Research (1.5k citations), Public Health, Environmental and Occupational Health (2.6k citations), Physiology (2.2k citations) and Pathology and Forensic Medicine (1.5k citations). Mingyang Song has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Andrew T. Chan, Edward L. Giovannucci, Shuji Ogino, Kana Wu, Walter C. Willett, Wendy S. Garrett, Charles S. Fuchs, Jun Sun, Frank B. Hu and Long H. Nguyen. Their work appears in journals such as Gastroenterology, International Journal of Cancer, American Journal of Clinical Nutrition, Clinical Gastroenterology and Hepatology and European Journal of Epidemiology.

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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