Baojun Yu

463 citations
37 papers · 303 · h-index 11

Impact in

Papers in

    • RNA modifications and cancer 5
    • RNA Research and Splicing 4
    • Cancer-related molecular mechanisms research 15
    • MicroRNA in disease regulation 5

Baojun Yu

36 papers receiving 299 citations

Peers

Baojun Yu
Comparison fields: 5 of 74
  • Critical Care and Intensive Care Medicine 32
  • Cancer Research 83
  • Animal Science and Zoology 48
  • Health, Toxicology and Mutagenesis 35
  • Molecular Biology 162
Replace Frances V. Sjaastad with:
Frances V. Sjaastad United States
Dongjiu Zhao China
Shinji Mochizuki Japan
Xiaofang Ji China
Carlos Machahua Switzerland
Lei Cheng Sweden
Yoshitaka Tsuji Japan
Lehao Ren China
Ruiting Hu China
Baojun Yu relative to Frances V. Sjaastad United States Frances V. Sjaastad's profile →
Citations per field
00.5×8.8×
Frances V. Sjaastad · 1×
Citations per year

Countries citing papers authored by Baojun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Baojun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201530
2 202124
3 202017
4 202217
5 202215
6 202214
7 202313
8 202312
9 200112
10 202312
11 201611
12 202110
13 202210
14 20249
15 20059
16 20208
17 20228
18 20247
19 20217
20 20237

About Baojun Yu

Baojun Yu is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Neurology and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 303 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (15 papers), MicroRNA in disease regulation (5 papers), Long-Term Effects of COVID-19 (5 papers), Respiratory Support and Mechanisms (5 papers), COVID-19 Clinical Research Studies (5 papers), RNA modifications and cancer (5 papers), Genetic and phenotypic traits in livestock (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (32 citations), Cancer Research (83 citations), Animal Science and Zoology (48 citations), Health, Toxicology and Mutagenesis (35 citations) and Molecular Biology (162 citations). Baojun Yu has collaborated with scholars based in China, India and Ireland. Frequent co-authors include Jiamin Liu, Tong Mu, Wen‐lin Xiao, Ming Wu, Juan Zhang, Xiaofang Feng, Honghong Hu, Xiaofang Feng, Juan Zhang and Li Zhong. Their work appears in journals such as Frontiers in Veterinary Science, Poultry Science, International Journal of Biological Macromolecules, Journal of Animal Science and Food Research International.

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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