Dan Weng

45 papers receiving 3.0k citations

Hit Papers

Pathogen blockade of TAK1 triggers caspase-8–dependent cleavage of gasdermin D and cell death 2018 · 800 citations
8002018202620202023250500750

Peers

Dan Weng
Comparison fields: 5 of 122
  • Immunology 1.0k
  • Nephrology 183
  • Molecular Biology 1.7k
  • Applied Microbiology and Biotechnology 35
  • Hematology 171
Replace Zhiping Liu with:
Zhiping Liu China
Jingjing Wang China
Juan José González Plaza Spain
Bin Guan United States
Atsumasa Komori Japan
Parvaneh Rafiee United States
Hao Zhou China
André M. Cantin Canada
Wenli Liu China
Lin Sun China
Dan Weng relative to Zhiping Liu China Zhiping Liu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dan Weng

Since Specialization
Citations

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

Fields of papers citing papers by Dan Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan 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 Dan Weng Line = papers co-authored together Dan Weng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pathogen blockade of TAK1 triggers caspase-8–dependent cleavage of gasdermin D and cell death
Hit paper breakdown →
2018800
2 1994436
3 2012293
4 2014243
5 2006166
6 2015148
7 2016139
8 2013133
9 201693
10 202074
11 201573
12 201961
13 200861
14 201842
15 202039
16 202239
17 201824
18 202423
19 202019
20 202216

About Dan Weng

Dan Weng is a scholar working on Geriatrics and Gerontology, Health, Toxicology and Mutagenesis, Hepatology, Applied Microbiology and Biotechnology and Cell Biology, having authored 47 papers that have together received 3.1k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (7 papers), Effects and risks of endocrine disrupting chemicals (7 papers), Inflammasome and immune disorders (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Yersinia bacterium, plague, ectoparasites research (3 papers), Sirtuins and Resveratrol in Medicine (3 papers), Immune Response and Inflammation (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Immunology (1.0k citations), Nephrology (183 citations), Molecular Biology (1.7k citations), Applied Microbiology and Biotechnology (35 citations) and Hematology (171 citations). Dan Weng has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Egil Lien, Megan K. Proulx, Katherine A. Fitzgerald, John Bertin, Jon D. Goguen, Gregory I. Vladimer, Peter J. Gough, Michelle A. Kelliher, Robyn Marty-Roix and Valentı́n Fuster. Their work appears in journals such as Immunity, Environmental Toxicology, Journal of Biological Chemistry, International Immunopharmacology and Toxicology and Applied Pharmacology.

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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