Molin Wang

19.4k citations
248 papers · 12.3k indexed · 8 hit papers · h-index 44

Molin Wang

232 papers receiving 12.0k citations

Hit Papers

Optimal die...126200720262013201950010001.5k2.0k

Peers

Molin Wang
Comparison fields: 5 of 187
  • Oncology 4.5k
  • Cancer Research 2.1k
  • Sensory Systems 399
  • Public Health, Environmental and Occupational Health 2.4k
  • Endocrinology, Diabetes and Metabolism 1.2k
Replace Cristina Bosetti with:
Cristina Bosetti Italy
Kenji Wakai Japan
Jia He China
Ling Yang China
Xiaoping Miao China
Jane Green United Kingdom
Domenico Palli Italy
Karl J. Lackner Germany
Chu Chen United States
Liming Li China
Molin Wang relative to Cristina Bosetti Italy Cristina Bosetti's profile →
Citations per field
00.5×2.6×
Cristina Bosetti · 1×
Citations per year

Countries citing papers authored by Molin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Molin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20245
4 20241
5 20240
6 20242
7 20232
8 202225
9 202213
10 20222
11 20218
12 20213
13 20216
14 20201
15 202054
16 201933
17 201832
18 201811
19
Prognostic Value of Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancers From Two Phase III Randomized Adjuvant Breast Cancer Trials: ECOG 2197 and ECOG 1199breakdown →
2014953
20 201435

About Molin Wang

Molin Wang is a scholar working on Statistics and Probability, Obstetrics and Gynecology and Sensory Systems, having authored 248 papers that have together received 12.3k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (52 papers), Vitamin D Research Studies (20 papers), Colorectal Cancer Screening and Detection (20 papers), Diet and metabolism studies (19 papers), Birth, Development, and Health (19 papers), Obesity, Physical Activity, Diet (18 papers), Statistical Methods and Inference (17 papers) and Gestational Diabetes Research and Management (16 papers). The work is most often cited by research in Oncology (4.5k citations), Cancer Research (2.1k citations) and Sensory Systems (399 citations). Molin Wang has collaborated with scholars based in United States, China and Tanzania. Frequent co-authors include Edith A. Perez, Nancy E. Davidson, Walter C. Willett, Eric B. Rimm, Kathy D. Miller, David Cella, Julie R. Gralow, Tamara Shenkier, Melody Cobleigh and Maura N. Dickler. Their work appears in journals such as American Journal of Clinical Nutrition, Journal of Nutrition, Statistics in Medicine, Biometrics and JAMA Network Open.

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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