Xiaojing Chu

696 total citations
25 papers, 275 citations indexed

About

Xiaojing Chu is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Xiaojing Chu has authored 25 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Immunology and 4 papers in Infectious Diseases. Recurrent topics in Xiaojing Chu's work include Single-cell and spatial transcriptomics (9 papers), Immune Cell Function and Interaction (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Xiaojing Chu is often cited by papers focused on Single-cell and spatial transcriptomics (9 papers), Immune Cell Function and Interaction (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Xiaojing Chu collaborates with scholars based in Netherlands, Germany and China. Xiaojing Chu's co-authors include Yang Li, Bowen Zhang, Valerie A. C. M. Koeken, Manoj Kumar Gupta, Sijin Cheng, Yu Zhang, Cisca Wijmenga, Mihai G. Netea, Cheng‐Jian Xu and Martin Jaeger and has published in prestigious journals such as Nature Communications, Cancer Research and The Journal of Infectious Diseases.

In The Last Decade

Xiaojing Chu

21 papers receiving 272 citations

Peers

Xiaojing Chu
Comparison fields: 5 of 74
  • Immunology 131
  • Molecular Biology 86
  • Oncology 45
  • Infectious Diseases 41
  • Epidemiology 35
Replace Alan D. Curtis with:
Alan D. Curtis United States
Sabrina Mazouz Canada
Amit Kumar Singh India
Andreas Linder Germany
Carla Pereira Canada
Sibel Durlanik Germany
Andrea Brázdová Czechia
Neeraja Kulkarni India
Maddalena Migliavacca Italy
Jesse Veenstra United States
Alan D. Curtis United States View profile →
Citations per field, relative to Xiaojing Chu
Xiaojing Chu · 1×
Citations per year, relative to Xiaojing Chu
Xiaojing Chu · 1×

Countries citing papers authored by Xiaojing Chu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojing Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojing Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojing Chu. A scholar is included among the top collaborators of Xiaojing Chu 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 Xiaojing Chu. Xiaojing Chu 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 4
2 0
3 1
4 8
5 3
6 27
7 1
8 5
9 4
10 12
11 7
12 6
13 14
14 61
15 19
16 19
17 41
18 5
19 16
20 18

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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