Yan C. Wang

815 citations
9 papers · 394 · h-index 6

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Drug Transport and Resistance Mechanisms

Papers in

    • Genomics and Chromatin Dynamics 2
    • Histone Deacetylase Inhibitors Research 1
    • Chemokine receptors and signaling 2
    • Cancer Treatment and Pharmacology 1

Yan C. Wang

9 papers receiving 388 citations

Peers

Yan C. Wang
Comparison fields: 5 of 52
  • Cancer Research 123
  • Oncology 173
  • Immunology 84
  • Molecular Biology 234
  • Reproductive Medicine 20
Replace Ashu Shah with:
Ashu Shah United States
Annabelle Chow Canada
Aušra Sasnauskienė Lithuania
Penny Johnson United Kingdom
Sylvanie Surget France
Michèle Harrison Ireland
Hiroe Nakamura Japan
Hiroko Takenouchi Japan
Gudrun Hager Austria
Ori Hassin Israel
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Citations per field
00.5×10×20×30×41×
Ashu Shah · 1×
Citations per year

Countries citing papers authored by Yan C. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yan C. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201497
2 201478
3 201575
4 200551
5 201742
6 200541
7 20165
8 20184
9 20121

About Yan C. Wang

Yan C. Wang is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 394 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Genomics and Chromatin Dynamics (2 papers), Cancer-related molecular mechanisms research (2 papers), Chemokine receptors and signaling (2 papers), Microtubule and mitosis dynamics (1 paper), Cancer Treatment and Pharmacology (1 paper), Cancer Genomics and Diagnostics (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Cancer Research (123 citations), Oncology (173 citations), Immunology (84 citations), Molecular Biology (234 citations) and Reproductive Medicine (20 citations). Yan C. Wang has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Branimir I. Šikić, George E. Durán, Anamaria Brozović, Kevin G. Chen, Shobha Seetharam, Linda A. Snyder, Dejan Juric, Brian San Francisco, Parul Doshi and Shalini Chaturvedi. Their work appears in journals such as Cancer Research, Molecular Oncology, Molecular Cancer Therapeutics, British Journal of Cancer and JCO Clinical Cancer Informatics.

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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