Man Wang

442 citations
12 papers · 347 · h-index 9

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • BRCA gene mutations in cancer

Papers in

    • Circular RNAs in diseases 5
    • RNA modifications and cancer 3
    • Cancer-related molecular mechanisms research 9
    • MicroRNA in disease regulation 5

Man Wang

12 papers receiving 341 citations

Peers

Man Wang
Comparison fields: 5 of 64
  • Cancer Research 123
  • Genetics 133
  • Molecular Biology 234
  • Oncology 91
  • Reproductive Medicine 20
Replace Ian Kesterton with:
Ian Kesterton United Kingdom
Р Ф Гарькавцева Russia
Göknur Giner Australia
Yvonne Myal Canada
Matthew Rowley United States
Alexandra E. Gylfe Finland
Elizabeth L. Schubert United States
Xiaowei Xi China
Suzanne R.L. Young United States
Stephen Flowers United States
Man Wang relative to Ian Kesterton United Kingdom Ian Kesterton's profile →
Citations per field
00.5×7.3×
Ian Kesterton · 1×
Citations per year

Countries citing papers authored by Man Wang

Since Specialization
Citations

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

Fields of papers citing papers by Man Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1996175
2 201465
3 201936
4 202117
5 202210
6 20239
7 20229
8 20228
9 20198
10 20225
11 20223
12 20222

About Man Wang

Man Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 347 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (5 papers), RNA modifications and cancer (3 papers), Cancer Cells and Metastasis (2 papers), Colorectal Cancer Treatments and Studies (1 paper), Medical Imaging and Pathology Studies (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Cancer Research (123 citations), Genetics (133 citations), Molecular Biology (234 citations), Oncology (91 citations) and Reproductive Medicine (20 citations). Man Wang has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Jayant V. Rajan, Lewis A. Chodosh, Sandra T. Marquis, Xing Yin, Hongping Xia, Xiang Tao, Yan Xie, Wei Zhang, Shuqin Li and Peifeng Li. Their work appears in journals such as Traffic, Molecular & Cellular Proteomics, Frontiers in Immunology, Journal of Surgical Research and Cancer Medicine.

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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