Jianing Cao

1.1k total citations
37 papers, 835 citations indexed

About

Jianing Cao is a scholar working on Molecular Biology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Jianing Cao has authored 37 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Jianing Cao's work include Immunotherapy and Immune Responses (3 papers), Ferroptosis and cancer prognosis (2 papers) and Ubiquitin and proteasome pathways (2 papers). Jianing Cao is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Ferroptosis and cancer prognosis (2 papers) and Ubiquitin and proteasome pathways (2 papers). Jianing Cao collaborates with scholars based in China, United States and Malaysia. Jianing Cao's co-authors include Sudhanshu Agrawal, Anshu Agrawal, Sudhir Gupta, Kathryn Osann, Houfen Su, Jiaoyan Ren, William Kwame Amakye, Min Wang, Congcong Gong and Swayam Prakash and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Cancer Research.

In The Last Decade

Jianing Cao

34 papers receiving 816 citations

Peers

Jianing Cao
Comparison fields: 5 of 118
  • Molecular Biology 299
  • Immunology 297
  • Physiology 120
  • Epidemiology 96
  • Neurology 81
Replace Silvia Galván-Peña with:
Silvia Galván-Peña United States
Matteo Villa Germany
Kristine Vasquez United States
Rafael S. Czepielewski United States
Toshihiro Yamamoto Japan
Mohammad Reza Atashzar Iran
David Díaz Spain
Yingqian Zhang China
Caterina Curato Germany
I. V. Kudryavtsev Russia
Silvia Galván-Peña United States View profile →
Citations per field, relative to Jianing Cao
Jianing Cao · 1×
Citations per year, relative to Jianing Cao
Jianing Cao · 1×

Countries citing papers authored by Jianing Cao

Since Specialization
Citations

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

Fields of papers citing papers by Jianing Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianing Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Jianing Cao. A scholar is included among the top collaborators of Jianing Cao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jianing Cao. Jianing Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 1
4 1
5 2
6 17
7 43
8 61
9 70
10 0
11 29
12 2
13 25
14 11
15 1
16 36
17 66
18 15
19 13
20 8

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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