Thomas Bourquard

878 citations
27 papers · 694 · h-index 16

Impact in

Papers in

Thomas Bourquard

27 papers receiving 684 citations

Peers

Thomas Bourquard
Comparison fields: 5 of 68
  • Molecular Biology 371
  • Developmental Neuroscience 12
  • Radiology, Nuclear Medicine and Imaging 63
  • Reproductive Medicine 28
  • Cancer Research 32
Replace Ulrike Teichmann with:
Ulrike Teichmann Germany
Neoncheol Jung South Korea
Rajesh V. Kamath United States
Ilya Lukonin Switzerland
José Garcia‐Bernardo United Kingdom
Jason S. Ehrlich United States
Yingqian Li China
Matthew W. Grogg United States
Carina von Schantz Finland
Srinath C. Sampath United States
Thomas Bourquard relative to Ulrike Teichmann Germany Ulrike Teichmann's profile →
Citations per field
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Ulrike Teichmann · 1×
Citations per year

Countries citing papers authored by Thomas Bourquard

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Bourquard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011123
2 201979
3 201762
4 201352
5 201545
6 201735
7 201830
8 201727
9 202226
10 201125
11 201424
12 201924
13 201622
14 202319
15 202218
16 202117
17 201716
18 20229
19 20217
20 20247

About Thomas Bourquard

Thomas Bourquard is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics, Developmental Neuroscience and Physiology, having authored 27 papers that have together received 694 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Protein Structure and Dynamics (5 papers), vaccines and immunoinformatics approaches (5 papers), Alzheimer's disease research and treatments (2 papers), Protease and Inhibitor Mechanisms (1 paper), Data Mining Algorithms and Applications (1 paper) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper). The work is most often cited by research in Molecular Biology (371 citations), Developmental Neuroscience (12 citations), Radiology, Nuclear Medicine and Imaging (63 citations), Reproductive Medicine (28 citations) and Cancer Research (32 citations). Thomas Bourquard has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Anne Poupon B, Éric Reiter, Pascale Crépieux, Nathalie Gallay, Jérôme Azé, Flavie Landomiel, David W. Ritchie, Julie Bernauer, Olivier Lichtarge and Guillaume Durand. Their work appears in journals such as Nature Communications, mAbs, Molecular and Cellular Endocrinology, Biology of Reproduction and The FASEB Journal.

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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