Yunkai Yang

4.1k citations
43 papers · 614 · h-index 16

Impact in

Papers in

    • Epigenetics and DNA Methylation 7
    • Histone Deacetylase Inhibitors Research 5
    • Cancer-related gene regulation 3
    • Ubiquitin and proteasome pathways 2
    • SARS-CoV-2 and COVID-19 Research 3

Yunkai Yang

41 papers receiving 611 citations

Peers

Yunkai Yang
Comparison fields: 5 of 100
  • Cancer Research 75
  • Infectious Diseases 91
  • Geriatrics and Gerontology 16
  • Molecular Biology 254
  • Immunology 70
Replace Sheng Cheng with:
Sheng Cheng China
Keming Zhang China
Yifan Li China
Luigi Marongiu Germany
Lan Lin China
Xiaoyun Chen China
Samira Jahangiri Iran
Cheng-Nan Wu Taiwan
Ying Dai China
Yunkai Yang relative to Sheng Cheng China Sheng Cheng's profile →
Citations per field
00.5×1.5×2.3×
Sheng Cheng · 1×
Citations per year

Countries citing papers authored by Yunkai Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yunkai Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202269
2 202249
3 201449
4 202141
5 202139
6 202136
7 201636
8 202234
9 201919
10 202318
11 202218
12 201818
13 201616
14 202415
15 201715
16 202015
17 202314
18 202112
19 201711
20 202410

About Yunkai Yang

Yunkai Yang is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health and Immunology, having authored 43 papers that have together received 614 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Histone Deacetylase Inhibitors Research (5 papers), Streptococcal Infections and Treatments (4 papers), Cancer-related gene regulation (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Viral Infections and Immunology Research (3 papers), Ubiquitin and proteasome pathways (2 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Cancer Research (75 citations), Infectious Diseases (91 citations), Geriatrics and Gerontology (16 citations), Molecular Biology (254 citations) and Immunology (70 citations). Yunkai Yang has collaborated with scholars based in China, United States and Sri Lanka. Frequent co-authors include Yan Wang, Min Zhang, Tianshu Yang, Wei Liu, Wei Huang, Miaomiao Huo, Jingyao Zhang, Hefen Yu, Weihuan Fang and Xiaowu Jiang. Their work appears in journals such as Frontiers in Oncology, Vaccine, Cell Death and Differentiation, Human Vaccines & Immunotherapeutics 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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