Dajing Xia

4.6k citations
104 papers · 3.4k · h-index 32

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Ubiquitin and proteasome pathways 4
    • Immunotherapy and Immune Responses 17
    • Immune Cell Function and Interaction 13
    • T-cell and B-cell Immunology 10
    • Immune cells in cancer 7
    • Immune Response and Inflammation 4

Dajing Xia

102 papers receiving 3.4k citations

Peers

Dajing Xia
Comparison fields: 5 of 116
  • Cancer Research 711
  • Immunology 714
  • Oncology 607
  • Molecular Biology 1.3k
  • Geriatrics and Gerontology 57
Replace Wei Yan with:
Wei Yan China
Su Wol Chung South Korea
Concetta Bubici United States
Ruaidhrı́ J. Carmody United Kingdom
Hidetoshi Hayashi Japan
Dipak P. Ramji United Kingdom
Limin Liu China
Hui Chen China
Karin Müller‐Decker Germany
Bastian Hoesel Austria
Dajing Xia relative to Wei Yan China Wei Yan's profile →
Citations per field
00.5×1.5×2.2×
Wei Yan · 1×
Citations per year

Countries citing papers authored by Dajing Xia

Since Specialization
Citations

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

Fields of papers citing papers by Dajing Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017256
2 2018232
3 2017180
4 2015164
5 2014118
6 2016117
7 2019106
8 2004104
9 2012100
10 201697
11 201695
12 202094
13 200177
14 201066
15 201858
16 201357
17 201857
18 201756
19 201654
20 202054

About Dajing Xia

Dajing Xia is a scholar working on Molecular Biology, Immunology, Oncology, Epidemiology and Cancer Research, having authored 104 papers that have together received 3.4k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (20 papers), Immunotherapy and Immune Responses (17 papers), Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (10 papers), Cancer-related molecular mechanisms research (7 papers), Immune cells in cancer (7 papers), Ubiquitin and proteasome pathways (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Cancer Research (711 citations), Immunology (714 citations), Oncology (607 citations), Molecular Biology (1.3k citations) and Geriatrics and Gerontology (57 citations). Dajing Xia has collaborated with scholars based in China, Canada and Singapore. Frequent co-authors include Yihua Wu, Han‐Ming Shen, Honghe Zhang, Hanwen Chen, Jinming Xu, Peiwei Li, Yihua Wu, Yuequn Niu, Jim Xiang and Wenjie Sun. Their work appears in journals such as Autophagy, The Journal of Immunology, Journal of Zhejiang University SCIENCE B, The Science of The Total Environment and Oncotarget.

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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