Junxia Cao

1.2k citations
41 papers · 957 · h-index 18

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Ubiquitin and proteasome pathways 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 3

Junxia Cao

39 papers receiving 940 citations

Peers

Junxia Cao
Comparison fields: 5 of 93
  • Immunology 214
  • Oncology 248
  • Cancer Research 98
  • Cell Biology 96
  • Genetics 58
Replace Hitoki Hasegawa with:
Hitoki Hasegawa Japan
Yi Jin United States
Hyeseon Cho United States
Ana Sevilla Spain
Savithri Rangarajan Netherlands
Muriel Zohar United States
Zixuan Li China
Sandra Iden Germany
Cynthia J. L. Carruthers United States
Junxia Cao relative to Hitoki Hasegawa Japan Hitoki Hasegawa's profile →
Citations per field
00.5×
Hitoki Hasegawa · 1×
Citations per year

Countries citing papers authored by Junxia Cao

Since Specialization
Citations

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

Fields of papers citing papers by Junxia Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012105
2 200997
3 201592
4 201963
5 201351
6 201443
7 201437
8 202037
9 201433
10 200633
11 201430
12 200629
13 202228
14 201525
15 201625
16 201424
17 201322
18 200518
19 201916
20 201315

About Junxia Cao

Junxia Cao is a scholar working on Molecular Biology, Immunology, Oncology, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 41 papers that have together received 957 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immunotherapy and Immune Responses (3 papers), CAR-T cell therapy research (3 papers), Ubiquitin and proteasome pathways (2 papers), Microtubule and mitosis dynamics (2 papers), Aquaculture Nutrition and Growth (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Immunology (214 citations), Oncology (248 citations), Cancer Research (98 citations), Cell Biology (96 citations) and Genetics (58 citations). Junxia Cao has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Zheng-Xu Wang, Jiyan Zhang, Beifen Shen, Qingyang Wang, Duo Li, Guoli Yin, Wei‐Jun Yang, Junli Li, Beilei Xu and Jinlong Liu. Their work appears in journals such as Cytotherapy, PLoS ONE, Analytical and Bioanalytical Chemistry, Peptides 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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