Jianjun Wu

2.3k total citations · 1 hit paper
23 papers, 1.7k citations indexed

About

Jianjun Wu is a scholar working on Immunology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Jianjun Wu has authored 23 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 9 papers in Epidemiology and 8 papers in Infectious Diseases. Recurrent topics in Jianjun Wu's work include interferon and immune responses (10 papers), Viral Infections and Vectors (7 papers) and Viral-associated cancers and disorders (4 papers). Jianjun Wu is often cited by papers focused on interferon and immune responses (10 papers), Viral Infections and Vectors (7 papers) and Viral-associated cancers and disorders (4 papers). Jianjun Wu collaborates with scholars based in United States, China and Taiwan. Jianjun Wu's co-authors include Nan Yan, Nicole Dobbs, Kun Yang, Tomomi Sakai, Vladislav Pokatayev, Jonathan J. Miner, Vijay K. Gonugunta, Xintao Tu, Wenwei Li and Yu‐Ju Chen and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jianjun Wu

23 papers receiving 1.7k citations

Hit Papers

Tonic prime-boost of STING signalling mediates Niemann–Pi... 2021 2026 2022 2024 2021 50 100 150

Peers

Jianjun Wu
Comparison fields: 5 of 64
  • Immunology 1.3k
  • Molecular Biology 821
  • Infectious Diseases 610
  • Epidemiology 329
  • Oncology 250
Replace Anna Kajaste‐Rudnitski with:
Anna Kajaste‐Rudnitski Italy
Fabio Romerio United States
Keh-Chuang Chin Singapore
Michiel van Gent Netherlands
Naoya Shimada Japan
Yong Ran China
David Jesse Sanchez United States
Karen J. Mackenzie United Kingdom
Simone Cowan United States
Peyman Nakhaei Canada
Anna Kajaste‐Rudnitski Italy View profile →
Citations per field, relative to Jianjun Wu
Jianjun Wu · 1×
Citations per year, relative to Jianjun Wu
Jianjun Wu · 1×

Countries citing papers authored by Jianjun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jianjun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianjun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jianjun Wu. A scholar is included among the top collaborators of Jianjun Wu 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 Jianjun Wu. Jianjun Wu 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 15
2 3
3 1
4 41
5 18
6
Tonic prime-boost of STING signalling mediates Niemann–Pick disease type C breakdown →
160
7 248
8 29
9 98
10 233
11 231
12 142
13 236
14 23
15 2
16 56
17 29
18 45
19 19
20 4

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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