Dennis Bouchard

2.9k total citations · 2 hit papers
9 papers, 2.5k citations indexed

About

Dennis Bouchard is a scholar working on Immunology, Cancer Research and Molecular Biology. According to data from OpenAlex, Dennis Bouchard has authored 9 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 3 papers in Cancer Research and 2 papers in Molecular Biology. Recurrent topics in Dennis Bouchard's work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and NF-κB Signaling Pathways (3 papers). Dennis Bouchard is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and NF-κB Signaling Pathways (3 papers). Dennis Bouchard collaborates with scholars based in Canada, United States and Germany. Dennis Bouchard's co-authors include Josef Penninger, I. Kozieradzki, Takehiko Sasaki, Pamela S. Ohashi, Andrew Wakeham, Annick Itié, Russell G. Jones, Kurt Bachmaier, Connie M. Krawczyk and Young‐Yun Kong and has published in prestigious journals such as Nature, Science and The Journal of Experimental Medicine.

In The Last Decade

Dennis Bouchard

9 papers receiving 2.4k citations

Hit Papers

Function of PI3Kγ in Thymocyte Development, T Cell Activa... 2000 2026 2008 2017 2000 2000 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dennis Bouchard Canada 9 1.5k 1.2k 615 298 229 9 2.5k
Karin Reif United Kingdom 22 1.7k 1.1× 1.2k 0.9× 761 1.2× 185 0.6× 207 0.9× 29 2.7k
Luc E. M. Marengère Canada 15 1.3k 0.8× 1.6k 1.3× 543 0.9× 215 0.7× 301 1.3× 15 2.7k
Chris Elly United States 29 1.9k 1.2× 2.0k 1.6× 748 1.2× 134 0.4× 402 1.8× 34 3.4k
Christine B.F. Thien Australia 25 809 0.5× 1.8k 1.4× 712 1.2× 179 0.6× 233 1.0× 38 2.8k
Anne Mette Buhl Denmark 21 958 0.6× 1.0k 0.8× 329 0.5× 249 0.8× 154 0.7× 31 2.1k
Lily Pao United States 23 2.0k 1.3× 1.9k 1.6× 610 1.0× 155 0.5× 167 0.7× 32 3.2k
Paul R. Findell United States 14 1.1k 0.7× 718 0.6× 306 0.5× 403 1.4× 142 0.6× 19 1.9k
Trisha Norton Tanzania 18 1.3k 0.9× 841 0.7× 366 0.6× 118 0.4× 141 0.6× 29 2.0k
Kathy Siminovitch Canada 19 782 0.5× 1.2k 1.0× 381 0.6× 150 0.5× 186 0.8× 32 2.0k
R. James Matthews United Kingdom 17 1.9k 1.2× 1.6k 1.3× 569 0.9× 134 0.4× 106 0.5× 30 2.5k

Countries citing papers authored by Dennis Bouchard

Since Specialization
Citations

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

Fields of papers citing papers by Dennis Bouchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dennis Bouchard

This figure shows the co-authorship network connecting the top 25 collaborators of Dennis Bouchard. A scholar is included among the top collaborators of Dennis Bouchard 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 Dennis Bouchard. Dennis Bouchard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Jeon, Myung-Shin, K. Venuprasad, Connie M. Krawczyk, et al.. (2004). Essential Role of the E3 Ubiquitin Ligase Cbl-b in T Cell Anergy Induction. Immunity. 21(2). 167–177. 276 indexed citations
2.
Bachmaier, Kurt, Connie M. Krawczyk, I. Kozieradzki, et al.. (2000). Negative regulation of lymphocyte activation and autoimmunity by the molecular adaptor Cbl-b. Nature. 403(6766). 211–216. 553 indexed citations breakdown →
3.
Sasaki, Takehiko, Junko Irie-Sasaki, Yasuo Horie, et al.. (2000). Colorectal carcinomas in mice lacking the catalytic subunit of PI(3)Kγ. Nature. 406(6798). 897–902. 81 indexed citations
4.
Krawczyk, Connie M., Kurt Bachmaier, Takehiko Sasaki, et al.. (2000). Cbl-b Is a Negative Regulator of Receptor Clustering and Raft Aggregation in T Cells. Immunity. 13(4). 463–473. 188 indexed citations
5.
Sasaki, Takehiko, Junko Irie-Sasaki, Russell G. Jones, et al.. (2000). Function of PI3Kγ in Thymocyte Development, T Cell Activation, and Neutrophil Migration. Science. 287(5455). 1040–1046. 889 indexed citations breakdown →
6.
Boyd, Richard L., I. Kozieradzki, Ann P. Chidgey, et al.. (1998). Receptor-Specific Allelic Exclusion of TCRVα-Chains During Development. The Journal of Immunology. 161(4). 1718–1727. 17 indexed citations
7.
Kong, Young‐Yun, Klaus‐Dieter Fischer, Martin F. Bachmann, et al.. (1998). Vav Regulates Peptide-specific Apoptosis in Thymocytes. The Journal of Experimental Medicine. 188(11). 2099–2111. 86 indexed citations
8.
Kong, Young‐Yun, Hiroshi Nishina, Kerry Tedford, et al.. (1998). Vav is a regulator of cytoskeletal reorganization mediated by the T-cell receptor. Current Biology. 8(10). 554–S3. 380 indexed citations
9.
Boyd, Richard L., I. Kozieradzki, Ann P. Chidgey, et al.. (1998). Receptor-specific allelic exclusion of TCRV alpha-chains during development.. PubMed. 161(4). 1718–27. 17 indexed citations

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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