Xiaojun Tan

3.6k citations
29 papers · 2.6k indexed · 3 hit papers · h-index 19
Topics
Cellular transport and secretion (10 papers)Autophagy in Disease and Therapy (9 papers)interferon and immune responses (7 papers)

In The Last Decade

Xiaojun Tan

28 papers receiving 2.6k citations

Hit Papers

Autophagy induction via STING trafficking is a primordial...2018202620202023201920182022250500750

Peers

Xiaojun Tan
Comparison fields: 5 of 95
  • Molecular Biology 1.4k
  • Immunology 1.1k
  • Epidemiology 566
  • Infectious Diseases 514
  • Cell Biology 474
Replace Lucile Espert with:
Lucile Espert France
Edmund C. Lattime United States
Tamás Oravecz United States
Manohar Pilli United States
Masaya Higuchi Japan
Jonathan Pol France
Subburaj Ilangumaran Canada
Agustı́n Valenzuela-Fernández Spain
Stefanie Jäger United States
Shih‐Chung Chang Taiwan
Xiaojun Tan relative to Lucile Espert France Lucile Espert's profile →
Citations per field
00.5×6.9×
Lucile Espert · 1×
Citations per year

Countries citing papers authored by Xiaojun Tan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Tan. A scholar is included among the top collaborators of Xiaojun Tan 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 Xiaojun Tan. Xiaojun Tan 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
#WorkIndexed citations
1 1
2 1
3 1
4 2
5 41
6 25
7 60
8 48
9
A phosphoinositide signalling pathway mediates rapid lysosomal repairbreakdown →
200
10
Autophagy induction via STING trafficking is a primordial function of the cGAS pathwaybreakdown →
894
11 2
12 36
13 145
14 70
15 59
16 190
17 38
18 100
19 12
20 20

About Xiaojun Tan

Xiaojun Tan is a scholar working on Physiology, Cell Biology and Immunology, having authored 29 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cellular transport and secretion (10 papers), Autophagy in Disease and Therapy (9 papers) and interferon and immune responses (7 papers). The work is most often cited by research in Immunology (1.1k citations), Physiology (179 citations) and Cell Biology (474 citations). Xiaojun Tan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Zhijian J. Chen, Richard A. Anderson, Toren Finkel, Narendra Thapa, Fenghe Du, Minghao Li, Xiang Gui, Hui Yang, Tuo Li and Peiqing Shi. Their work appears in journals such as Nature, Science and Cell.

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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