Kyle M. Trudeau

24 papers receiving 1.5k citations

Kyle M. Trudeau's Hit Papers

In vivo chimeric antigen receptor (CAR)-T cell therapy 2025 · 40 citations
400Years since publication10203040

Peers

Kyle M. Trudeau
Comparison fields: 5 of 88
  • Ophthalmology 225
  • Clinical Biochemistry 148
  • Physiology 305
  • Physiology 52
  • Molecular Biology 775
Replace Pauline de Zeeuw with:
Pauline de Zeeuw Belgium
Lynn C. Shaw United States
Tahira Lemtalsi United States
Izumi Suzuma Japan
Frederick Pfister Germany
M. Ali Behzadian United States
Zhongxiao Wang United States
Takashi Koto Japan
Aimee M. Juan United States
Stéphanie Herkenne Italy
Kyle M. Trudeau relative to Pauline de Zeeuw Belgium Pauline de Zeeuw's profile →
Citations per field
00.5×2×3.5×
Pauline de Zeeuw · 1×
Citations per year

Countries citing papers authored by Kyle M. Trudeau

Since Specialization
Citations

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

Fields of papers citing papers by Kyle M. Trudeau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle M. Trudeau. 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 Kyle M. Trudeau. The network helps show where Kyle M. Trudeau may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015182
2 2014116
3 2010114
4 2010114
5 2013102
6 201098
7 201797
8 201188
9 201779
10 201674
11 201163
12 201262
13 201161
14 200947
15 201343
16
In vivo chimeric antigen receptor (CAR)-T cell therapy
Hit paper breakdown →
202540
17 201835
18 201420
19 201215
20 201815

About Kyle M. Trudeau

Kyle M. Trudeau is a scholar working on Ophthalmology, Clinical Biochemistry, Physiology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (9 papers), Retinal Diseases and Treatments (6 papers), Retinal Imaging and Analysis (4 papers), Autophagy in Disease and Therapy (4 papers), Metabolism and Genetic Disorders (3 papers), Advanced Glycation End Products research (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Ophthalmology (225 citations), Clinical Biochemistry (148 citations), Physiology (305 citations), Physiology (52 citations) and Molecular Biology (775 citations). Kyle M. Trudeau has collaborated with scholars based in United States, Israel and Brazil. Frequent co-authors include Sayon Roy, Orian S. Shirihai, Anthony J. A. Molina, Sumon Roy, Wen Guo, Maria Fernanda Forni, Alicia Juliana Kowaltowski, Julia Peloggia, John Y. Ha and Guy Las. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Journal of Visualized Experiments, EMBO Molecular Medicine, Current Eye Research and The Journal of Cell Biology.

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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