Weidong Han

20.2k total citations · 6 hit papers
267 papers, 15.0k citations indexed

About

Weidong Han is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Weidong Han has authored 267 papers receiving a total of 15.0k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Oncology, 98 papers in Molecular Biology and 67 papers in Immunology. Recurrent topics in Weidong Han's work include CAR-T cell therapy research (86 papers), Immune Cell Function and Interaction (42 papers) and Cancer Immunotherapy and Biomarkers (32 papers). Weidong Han is often cited by papers focused on CAR-T cell therapy research (86 papers), Immune Cell Function and Interaction (42 papers) and Cancer Immunotherapy and Biomarkers (32 papers). Weidong Han collaborates with scholars based in China, United States and Philippines. Weidong Han's co-authors include Yao Wang, Xiaobing Fu, Zhiqiang Wu, Yelei Guo, Hanren Dai, Xiaolei Li, Kaichao Feng, Jiejie Liu, Haojie Hao and Chuan Tong and has published in prestigious journals such as Science, The Lancet and Nucleic Acids Research.

In The Last Decade

Weidong Han

258 papers receiving 14.8k citations

Hit Papers

Granzyme A from cytotoxic lymphocytes cleaves G... 2015 2026 2018 2022 2020 2020 2015 2020 2021 250 500 750

Peers

Weidong Han
Comparison fields: 5 of 145
  • Oncology 7.4k
  • Molecular Biology 6.2k
  • Immunology 4.3k
  • Biomedical Engineering 2.3k
  • Cancer Research 2.0k
Replace Maurilio Ponzoni with:
Maurilio Ponzoni Italy
Udai S. Kammula United States
Ellen Puré United States
Dario Campana United States
Rupert Handgretinger Germany
Claudio Bordignon Italy
Katayoun Rezvani United States
Mariusz A. Wasik United States
Ignacio Melero Spain
Robert H. Vonderheide United States
Maurilio Ponzoni Italy View profile →
Citations per field, relative to Weidong Han
Weidong Han · 1×
Citations per year, relative to Weidong Han
Weidong Han · 1×

Countries citing papers authored by Weidong Han

Since Specialization
Citations

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

Fields of papers citing papers by Weidong Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weidong Han

This figure shows the co-authorship network connecting the top 25 collaborators of Weidong Han. A scholar is included among the top collaborators of Weidong Han 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 Weidong Han. Weidong Han 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 1
3 6
4 5
5 7
6 2
7 14
8 35
9 29
10 64
11 1
12 89
13
TGF-β inhibition via CRISPR promotes the long-term efficacy of CAR T cells against solid tumors breakdown →
293
14 17
15 45
16 196
17 261
18 30
19 1
20 21

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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