Jacqueline M. Tremblay
- Endocrinology top 5%
- Escherichia coli research studies 6
- Biotechnology top 5%
- Immunology top 10%
- Toxin Mechanisms and Immunotoxins 7
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- Monoclonal and Polyclonal Antibodies Research 9
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology 8
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- Botulinum Toxin and Related Neurological Disorders 7
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- Cellular transport and secretion 7
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- Lipid Membrane Structure and Behavior 7
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- Virus-based gene therapy research 5
- Co-authors
- Charles B. ShoemakerLynwood R. YarbroughGeorge M. HelmkampMarilyn D. YoderNicholas J. MantisSaul TziporiDavid J. VanceLeonard M. Thomas
- Cited by
- EndocrinologyBiotechnologyImmunology
- Journals
- Journal of Biological Chemistry (7 papers)Nature Communications (1 paper)PLoS ONE (3 papers)
- Partner nations
- United StatesGermanyBrazil
In The Last Decade
Jacqueline M. Tremblay
41 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 74
- Endocrinology 123
- Biotechnology 156
- Immunology 301
- Radiology, Nuclear Medicine and Imaging 289
- Infectious Diseases 209
Countries citing papers authored by Jacqueline M. Tremblay
This map shows the geographic impact of Jacqueline M. Tremblay'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 Jacqueline M. Tremblay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline M. Tremblay more than expected).
Fields of papers citing papers by Jacqueline M. Tremblay
This network shows the impact of papers produced by Jacqueline M. Tremblay. 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 Jacqueline M. Tremblay. The network helps show where Jacqueline M. Tremblay may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jacqueline M. Tremblay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 13 | |
| 3 | 2023 | 64 | |
| 4 | 2022 | 13 | |
| 5 | 2022 | 10 | |
| 6 | 2021 | 13 | |
| 7 | 2018 | 10 | |
| 8 | 2017 | 22 | |
| 9 | 2017 | 18 | |
| 10 | 2016 | 28 | |
| 11 | 2015 | 31 | |
| 12 | 2014 | 83 | |
| 13 | 2014 | 28 | |
| 14 | 2014 | 13 | |
| 15 | 2013 | 66 | |
| 16 | 2010 | 68 | |
| 17 | 2010 | 22 | |
| 18 | 2002 | 20 | |
| 19 | 1999 | 2 | |
| 20 | 1997 | 7 |
About Jacqueline M. Tremblay
Jacqueline M. Tremblay is a scholar working on Endocrinology, Biotechnology and Parasitology, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Viral gastroenteritis research and epidemiology (8 papers), Botulinum Toxin and Related Neurological Disorders (7 papers), Cellular transport and secretion (7 papers), Lipid Membrane Structure and Behavior (7 papers), Toxin Mechanisms and Immunotoxins (7 papers), Escherichia coli research studies (6 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Endocrinology (123 citations), Biotechnology (156 citations) and Immunology (301 citations). Jacqueline M. Tremblay has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Charles B. Shoemaker, Lynwood R. Yarbrough, George M. Helmkamp, Marilyn D. Yoder, Nicholas J. Mantis, Saul Tzipori, David J. Vance, Leonard M. Thomas, Jean Mukherjee and Michelle Debatis. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.
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.