Zhenkun Wang

1.3k citations
44 papers · 855 · h-index 18

Impact in

Papers in

Zhenkun Wang

41 papers receiving 846 citations

Peers

Zhenkun Wang
Comparison fields: 5 of 118
  • Health, Toxicology and Mutagenesis 146
  • Oncology 171
  • Health 26
  • Hematology 35
  • Environmental Engineering 45
Replace Marike Boezen with:
Marike Boezen Netherlands
Jennifer Crowe United States
Jessica N. Williams United States
Susan E. Carozza United States
Friederike Erdmann Germany
Norimichi Suzuki Japan
Zhenghe Wang China
Ruyi Huang Taiwan
Nelly Ziadé Lebanon
Zhenkun Wang relative to Marike Boezen Netherlands Marike Boezen's profile →
Citations per field
00.5×4.3×
Marike Boezen · 1×
Citations per year

Countries citing papers authored by Zhenkun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhenkun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201691
2 202172
3 201565
4 202053
5 201653
6 201949
7 202147
8 201635
9 202031
10 202030
11 201630
12 201526
13 201725
14 201624
15 202123
16 202020
17 202319
18 202019
19 201715
20 202414

About Zhenkun Wang

Zhenkun Wang is a scholar working on Oncology, Epidemiology, Hematology, Molecular Biology and Health, Toxicology and Mutagenesis, having authored 44 papers that have together received 855 indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), Acute Myeloid Leukemia Research (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Global Cancer Incidence and Screening (4 papers), Insurance, Mortality, Demography, Risk Management (3 papers), Climate Change and Health Impacts (3 papers), Global Health Care Issues (3 papers) and Urban Transport and Accessibility (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (146 citations), Oncology (171 citations), Health (26 citations), Hematology (35 citations) and Environmental Engineering (45 citations). Zhenkun Wang has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Chuanhua Yu, Chuanhua Yu, Junzhe Bao, Lisha Luo, Songbo Hu, Xudong Gao, Xudong Li, Ensong Guo, Rourou Xiao and Xiping Yang. Their work appears in journals such as International Journal of Environmental Research and Public Health, Frontiers in Immunology, Cell Death and Disease, Cancer Management and Research and Cancer Letters.

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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