Lihong Weng

5.1k total citations · 1 hit paper
50 papers, 2.4k citations indexed

About

Lihong Weng is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Lihong Weng has authored 50 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Oncology, 19 papers in Molecular Biology and 15 papers in Immunology. Recurrent topics in Lihong Weng's work include CAR-T cell therapy research (23 papers), Immunotherapy and Immune Responses (6 papers) and Lung Cancer Treatments and Mutations (6 papers). Lihong Weng is often cited by papers focused on CAR-T cell therapy research (23 papers), Immunotherapy and Immune Responses (6 papers) and Lung Cancer Treatments and Mutations (6 papers). Lihong Weng collaborates with scholars based in China, United States and Switzerland. Lihong Weng's co-authors include Stephen J. Forman, Christine E. Brown, Behnam Badie, Julie R. Ostberg, Renate Starr, Michael E. Barish, Massimo D’Apuzzo, Jamie R. Wagner, Wen-Chung Chang and Michael C. Jensen and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Lihong Weng

46 papers receiving 2.4k citations

Hit Papers

Bioactivity and Safety of IL13Rα2-Redirected Chimeric Ant... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers

Lihong Weng
Comparison fields: 5 of 92
  • Oncology 1.3k
  • Molecular Biology 1.0k
  • Immunology 710
  • Biomedical Engineering 479
  • Cancer Research 431
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Citations per field, relative to Lihong Weng
Lihong Weng · 1×
Citations per year, relative to Lihong Weng
Lihong Weng · 1×

Countries citing papers authored by Lihong Weng

Since Specialization
Citations

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

Fields of papers citing papers by Lihong Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lihong Weng

This figure shows the co-authorship network connecting the top 25 collaborators of Lihong Weng. A scholar is included among the top collaborators of Lihong Weng 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 Lihong Weng. Lihong Weng 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 4
3 0
4 1
5 11
6
A Scholarly Review of Supply Chain Integration within the New Zealand Blueberry Industry
0
7 14
8 6
9 8
10 57
11 25
12 149
13 120
14 226
15 328
16 2
17 50
18
Bioactivity and Safety of IL13Rα2-Redirected Chimeric Antigen Receptor CD8+ T Cells in Patients with Recurrent Glioblastoma breakdown →
592
19 132
20 151

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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