Yujing Wu

1.2k citations
63 papers · 964 · h-index 19

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Rheumatoid Arthritis Research and Therapies

Papers in

    • T-cell and B-cell Immunology 10
    • Immune Cell Function and Interaction 10
    • Immunotherapy and Immune Responses 6
    • Glycosylation and Glycoproteins Research 3

Yujing Wu

57 papers receiving 955 citations

Peers

Yujing Wu
Comparison fields: 5 of 104
  • Immunology 300
  • Rheumatology 150
  • Pharmacology 81
  • Oncology 155
  • Complementary and alternative medicine 48
Replace Xuezhi Yang with:
Xuezhi Yang China
Αthanasios Mavropoulos Greece
Haihong Qin China
Mingcheng Huang China
Rongfen Huo China
Fan Xiao China
Brian Astry United States
M. Sanders Netherlands
Xiaodong Peng China
Yujing Wu relative to Xuezhi Yang China Xuezhi Yang's profile →
Citations per field
00.5×5.7×
Xuezhi Yang · 1×
Citations per year

Countries citing papers authored by Yujing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yujing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198883
2 201061
3 201448
4 201746
5 201844
6 201337
7 201935
8 202034
9 201233
10 202129
11 201628
12 201528
13 201226
14 201624
15 201324
16 201923
17 202022
18 201421
19 201819
20 202018

About Yujing Wu

Yujing Wu is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology and Cancer Research, having authored 63 papers that have together received 964 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (10 papers), Immunotherapy and Immune Responses (6 papers), CAR-T cell therapy research (5 papers), Rheumatoid Arthritis Research and Therapies (4 papers), NF-κB Signaling Pathways (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Immunology (300 citations), Rheumatology (150 citations), Pharmacology (81 citations), Oncology (155 citations) and Complementary and alternative medicine (48 citations). Yujing Wu has collaborated with scholars based in China, Saint Kitts and Nevis and United States. Frequent co-authors include Yan Chang, Wei Wei, Lingling Zhang, Wei Wei, Qingtong Wang, Huaxun Wu, Xiaoyi Jia, Jingyu Chen, Wu‐Yi Sun and R. Michael Snider. Their work appears in journals such as Acta Pharmacologica Sinica, Biochemical Pharmacology, European Journal of Pharmacology, International Immunopharmacology and Inflammopharmacology.

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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