David Weng

1.6k citations
41 papers · 1.1k · h-index 18

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Oncology top 10%
    • CAR-T cell therapy research

Papers in

    • Cell death mechanisms and regulation 4
    • Cancer therapeutics and mechanisms 4
    • CAR-T cell therapy research 5
    • Cancer Treatment and Pharmacology 4

David Weng

41 papers receiving 1.1k citations

Peers

David Weng
Comparison fields: 5 of 92
  • Immunology 437
  • Oncology 316
  • Cancer Research 121
  • Molecular Biology 515
  • Sensory Systems 32
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Kristina K. Hansen Canada
Colette Charland United States
Rachael M. Lane Australia
Camari Ferguson United States
Satoshi Takaki Japan
Gerhard Dekan Austria
Oliver Feyen Germany
Daniel Fisher United States
Venkatesh V. Nemmara United States
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Citations per field
00.5×4.3×
Bruce Rankin · 1×
Citations per year

Countries citing papers authored by David Weng

Since Specialization
Citations

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

Fields of papers citing papers by David Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Weng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Weng Line = papers co-authored together David Weng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997168
2 2015101
3 200096
4 199976
5 200169
6 199862
7 199960
8 201552
9 200552
10
Inhibition of the conversion of 3T3 fibroblast clones to adipocytes by dehydroepiandrosterone and related anticarcinogenic steroids.
198650
11 200934
12 200027
13 200027
14 201226
15 201324
16 200622
17 199821
18 201321
19 201117
20 199316

About David Weng

David Weng is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), CAR-T cell therapy research (5 papers), Cancer Treatment and Pharmacology (4 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Cell death mechanisms and regulation (4 papers), Cancer therapeutics and mechanisms (4 papers) and Breast Cancer Treatment Studies (3 papers). The work is most often cited by research in Immunology (437 citations), Oncology (316 citations), Cancer Research (121 citations), Molecular Biology (515 citations) and Sensory Systems (32 citations). David Weng has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Peter A. Cohen, Nassim Usman, Brian J. Czerniecki, Gary K. Koski, Alex A. Adjei, Martin A. Graham, Gregory E. Plautz, Liaomin Peng, Ravi K. Amaravadi and Russell J. Schilder. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Molecular Cancer Therapeutics, The Journal of Immunology and Blood.

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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