Wan He

636 citations
33 papers · 433 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
    • Cancer Immunotherapy and Biomarkers

Papers in

Wan He

32 papers receiving 430 citations

Peers

Wan He
Comparison fields: 5 of 75
  • Cancer Research 104
  • Oncology 107
  • Pathology and Forensic Medicine 55
  • Hematology 31
  • Molecular Biology 170
Replace Ben Allal with:
Ben Allal France
Vera Timmermans‐Wielenga Denmark
Daniel L. Smith United States
Ge Lou China
Aiqun Xue Australia
Seiji Kaino Japan
Kee Ming Chia Australia
Carolina Hassibe Thomé Brazil
Brenda J. Foster United States
Linda Lam United States
Wan He relative to Ben Allal France Ben Allal's profile →
Citations per field
00.5×2.9×
Ben Allal · 1×
Citations per year

Countries citing papers authored by Wan He

Since Specialization
Citations

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

Fields of papers citing papers by Wan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201966
2 202040
3 201840
4 201336
5 201829
6 201829
7 201825
8 201822
9 201822
10 202021
11 202215
12 201912
13 201610
14 20169
15 20168
16 20206
17 20235
18 20195
19 20235
20 20245

About Wan He

Wan He is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 433 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (7 papers), Cancer Genomics and Diagnostics (4 papers), Glycosylation and Glycoproteins Research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), MicroRNA in disease regulation (3 papers), Head and Neck Cancer Studies (2 papers), Cancer-related gene regulation (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Cancer Research (104 citations), Oncology (107 citations), Pathology and Forensic Medicine (55 citations), Hematology (31 citations) and Molecular Biology (170 citations). Wan He has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ruilian Xu, Liangning Hu, Jumei Shi, Gege Chen, Jie Wang, Xiaosong Wu, Pan Zhao, Xiaolei Hu, Changsheng Ye and Lu Gao. Their work appears in journals such as Frontiers in Oncology, Journal of Clinical Oncology, OncoTargets and Therapy, Acta Biochimica et Biophysica Sinica and OncoImmunology.

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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