Xiaolei Su

4.4k citations
43 papers · 3.0k indexed · 2 hit papers · h-index 17
Topics
CAR-T cell therapy research (14 papers)Immune Cell Function and Interaction (8 papers)Physiological and biochemical adaptations (7 papers)

In The Last Decade

Xiaolei Su

38 papers receiving 3.0k citations

Hit Papers

T cell costimulatory receptor CD28 is a primary target fo...2016202620192022201720162505007501000

Peers

Xiaolei Su
Comparison fields: 5 of 114
  • Molecular Biology 1.6k
  • Immunology 1.2k
  • Oncology 1.0k
  • Cell Biology 469
  • Biomedical Engineering 174
Replace Enfu Hui with:
Enfu Hui United States
Alcide Barberis Switzerland
Frédéric Bard Singapore
Andrew P. Hinck United States
Michael Meisterernst Germany
Amin Hajitou United Kingdom
Neetu Gupta France
Andrew E. H. Elia United States
Giovanna Bossi United Kingdom
Etsuko Kiyokawa Japan
Xiaolei Su relative to Enfu Hui United States Enfu Hui's profile →
Citations per field
00.5×1.5×
Enfu Hui · 1×
Citations per year

Countries citing papers authored by Xiaolei Su

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolei Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolei Su

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolei Su. A scholar is included among the top collaborators of Xiaolei Su 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 Xiaolei Su. Xiaolei Su 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 0
2 0
3 1
4 3
5 6
6 2
7 0
8 13
9 3
10 25
11 44
12 49
13 6
14 0
15 63
16
T cell costimulatory receptor CD28 is a primary target for PD-1–mediated inhibitionbreakdown →
1180
17 27
18
Phase separation of signaling molecules promotes T cell receptor signal transductionbreakdown →
904
19 64
20 99

About Xiaolei Su

Xiaolei Su is a scholar working on Physiology, Immunology and Aquatic Science, having authored 43 papers that have together received 3.0k indexed citations. Recurring topics across this work include CAR-T cell therapy research (14 papers), Immune Cell Function and Interaction (8 papers) and Physiological and biochemical adaptations (7 papers). The work is most often cited by research in Immunology (1.2k citations), Oncology (1.0k citations) and Cell Biology (469 citations). Xiaolei Su has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Ronald D. Vale, Enfu Hui, Marcus J. Taylor, Jeong Kim, Ira Mellman, Jing Zhu, Heidi Ackerly Wallweber, Jun Huang, Dibyendu K. Sasmal and Jeanne Cheung. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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