Peixiang Lan

1.8k total citations · 2 hit papers
34 papers, 1.2k citations indexed

About

Peixiang Lan is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Peixiang Lan has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 12 papers in Molecular Biology and 11 papers in Oncology. Recurrent topics in Peixiang Lan's work include Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (9 papers) and Immune cells in cancer (5 papers). Peixiang Lan is often cited by papers focused on Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (9 papers) and Immune cells in cancer (5 papers). Peixiang Lan collaborates with scholars based in China, United States and Saudi Arabia. Peixiang Lan's co-authors include Zhigang Tian, Cai Zhang, Qiuju Han, Li X, Xiang Xiao, Qingwen Li, Jian Zhang, Xin Yu, Yihui Fan and Xuben Hou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Peixiang Lan

29 papers receiving 1.2k citations

Hit Papers

Activation of immune signals during organ transplantation 2023 2026 2024 2025 2023 2025 25 50 75

Peers

Peixiang Lan
Comparison fields: 5 of 85
  • Immunology 586
  • Molecular Biology 489
  • Oncology 246
  • Epidemiology 231
  • Cancer Research 165
Replace Nadira Delhem with:
Nadira Delhem France
Zhu‐Xu Zhang Canada
Sixuan Qian China
Xin Song China
Eamon P. Breen Ireland
Brian Rosborough United States
Lynda Aoudjehane France
Muqing Yang China
Tian Shen China
Can Ergen Germany
Nadira Delhem France View profile →
Citations per field, relative to Peixiang Lan
Peixiang Lan · 1×
Citations per year, relative to Peixiang Lan
Peixiang Lan · 1×

Countries citing papers authored by Peixiang Lan

Since Specialization
Citations

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

Fields of papers citing papers by Peixiang Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peixiang Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Peixiang Lan. A scholar is included among the top collaborators of Peixiang Lan 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 Peixiang Lan. Peixiang Lan 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 2
3 2
4 0
5 1
6 1
7 6
8 5
9 4
10 2
11 25
12 58
13 95
14 58
15 53
16 59
17 287
18 56
19 1
20 26

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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