Xiaolun Huang

2.2k total citations
52 papers, 1.7k citations indexed

About

Xiaolun Huang is a scholar working on Surgery, Immunology and Oncology. According to data from OpenAlex, Xiaolun Huang has authored 52 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 15 papers in Immunology and 14 papers in Oncology. Recurrent topics in Xiaolun Huang's work include Immune Cell Function and Interaction (10 papers), Pancreatic function and diabetes (10 papers) and Immunotherapy and Immune Responses (9 papers). Xiaolun Huang is often cited by papers focused on Immune Cell Function and Interaction (10 papers), Pancreatic function and diabetes (10 papers) and Immunotherapy and Immune Responses (9 papers). Xiaolun Huang collaborates with scholars based in China, United States and Canada. Xiaolun Huang's co-authors include James F. Markmann, Shaoping Deng, Clyde F. Barker, Laurence A. Turka, Mohamed H. Sayegh, Chuangqi Chen, Wayne W. Hancock, Ergun Velidedeoğlu, Ali Naji and Adam M. Frank and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and The Journal of Immunology.

In The Last Decade

Xiaolun Huang

45 papers receiving 1.7k citations

Peers

Xiaolun Huang
Comparison fields: 5 of 78
  • Surgery 771
  • Immunology 672
  • Genetics 393
  • Endocrinology, Diabetes and Metabolism 377
  • Molecular Biology 351
Replace Angela Stabilini with:
Angela Stabilini Italy
Andi Qipo United States
Carlo Socci Italy
Shounan Yi Australia
Alessandra Petrelli Italy
Jennie H. M. Yang United Kingdom
William Bennet Sweden
A. M. James Shapiro Canada
Seiyo Ikeda Japan
A. J. F. D'Apice Australia
Angela Stabilini Italy View profile →
Citations per field, relative to Xiaolun Huang
Xiaolun Huang · 1×
Citations per year, relative to Xiaolun Huang
Xiaolun Huang · 1×

Countries citing papers authored by Xiaolun Huang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolun Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolun Huang. A scholar is included among the top collaborators of Xiaolun Huang 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 Xiaolun Huang. Xiaolun Huang 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 0
2 5
3 0
4 2
5 1
6 11
7 2
8 12
9 7
10 40
11 2
12 17
13 7
14 28
15 28
16 124
17 95
18 67
19 86
20 332

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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