Zhenkun Yu

1.4k citations
56 papers · 1.1k · h-index 22

Impact in

Papers in

    • Virus-based gene therapy research 23
    • CAR-T cell therapy research 7
    • Cancer Cells and Metastasis 4

Zhenkun Yu

50 papers receiving 1.1k citations

Peers

Zhenkun Yu
Comparison fields: 5 of 83
  • Biotechnology 179
  • Genetics 528
  • Oncology 474
  • Otorhinolaryngology 49
  • Cancer Research 108
Replace Maxim Koslow with:
Maxim Koslow United States
Lucia D'Amato Italy
Nicholas M. Durham United States
Matthew A. Tyler United States
Jürgen Krauß Germany
Stephanie Laufs Germany
B. Hennemann Germany
Stephen R. Mattarollo Australia
Marie King Ireland
Stanley Chaleff United States
Zhenkun Yu relative to Maxim Koslow United States Maxim Koslow's profile →
Citations per field
00.5×10×13×
Maxim Koslow · 1×
Citations per year

Countries citing papers authored by Zhenkun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Zhenkun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014108
2 2005100
3 200470
4 201463
5 200860
6 200554
7 200454
8 200646
9 200945
10 200743
11 200740
12 201637
13 200637
14 201135
15 201032
16 201432
17 200630
18 201328
19 200427
20 201124

About Zhenkun Yu

Zhenkun Yu is a scholar working on Genetics, Oncology, Molecular Biology, Epidemiology and Biotechnology, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (23 papers), Cancer Research and Treatments (11 papers), Herpesvirus Infections and Treatments (11 papers), Head and Neck Cancer Studies (8 papers), CAR-T cell therapy research (7 papers), RNA modifications and cancer (5 papers), Cytomegalovirus and herpesvirus research (5 papers) and Cancer Cells and Metastasis (4 papers). The work is most often cited by research in Biotechnology (179 citations), Genetics (528 citations), Oncology (474 citations), Otorhinolaryngology (49 citations) and Cancer Research (108 citations). Zhenkun Yu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yuman Fong, Richard J. Wong, Maria F. Chan, David P. Eisenberg, Jatin P. Shah, Bhuvanesh Singh, Prasad S. Adusumilli, Shuangba He, Shizhi He and Shu‐Fu Lin. Their work appears in journals such as Clinical Cancer Research, Surgery, Head & Neck, International Journal of Cancer and Human Gene Therapy.

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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