Mingkai Yu

23 papers receiving 242 citations

Peers

Mingkai Yu
Comparison fields: 5 of 60
  • Small Animals 34
  • Virology 18
  • Toxicology 11
  • Immunology 65
  • Biotechnology 26
Replace Leimarembi Devi Naorem with:
Leimarembi Devi Naorem India
Minjie Meng China
Esteban J. Bontempi Argentina
Sumit Mukherjee Israel
Brian J. Fennell Ireland
Marina Allary United States
Sheldon D. Weed United States
Lamia Guizani-Tabbane Tunisia
Jake Whang South Korea
Catherine M. Moore United Kingdom
Mingkai Yu relative to Leimarembi Devi Naorem India Leimarembi Devi Naorem's profile →
Citations per field
00.5×3.8×
Leimarembi Devi Naorem · 1×
Citations per year

Countries citing papers authored by Mingkai Yu

Since Specialization
Citations

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

Fields of papers citing papers by Mingkai Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202241
2 202131
3 202227
4
Non-specific effects of avian retrovirus co-incubation on lymphocyte function: abrogation of antigen- and mitogen-induced proliferative responsiveness.
197920
5 199419
6 199618
7 197918
8 197717
9 200715
10 202312
11 20219
12 20247
13 19616
14 19625
15 20244
16 20243
17 20233
18 20163
19 20182
20 20142

About Mingkai Yu

Mingkai Yu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Immunology and Animal Science and Zoology, having authored 25 papers that have together received 265 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (6 papers), Animal Virus Infections Studies (4 papers), Prostate Cancer Treatment and Research (4 papers), Immunotherapy and Immune Responses (4 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Parasitic infections in humans and animals (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Small Animals (34 citations), Virology (18 citations), Toxicology (11 citations), Immunology (65 citations) and Biotechnology (26 citations). Mingkai Yu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include E Israël, Mark A. Wainberg, Fengbo Zhang, Jianbing Ding, Yuejie Zhu, Zhiqiang Chen, Wenhong Guo, Min Li, Xinru Xie and Yujiao Li. Their work appears in journals such as Annals of Oncology, Brazilian Journal of Medical and Biological Research, Frontiers in Immunology, Experimental Biology and Medicine and Scientific Reports.

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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