Martin Guimond

2.7k total citations
43 papers, 2.0k citations indexed

About

Martin Guimond is a scholar working on Immunology, Hematology and Molecular Biology. According to data from OpenAlex, Martin Guimond has authored 43 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Immunology, 18 papers in Hematology and 12 papers in Molecular Biology. Recurrent topics in Martin Guimond's work include Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (18 papers) and Immunotherapy and Immune Responses (17 papers). Martin Guimond is often cited by papers focused on Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (18 papers) and Immunotherapy and Immune Responses (17 papers). Martin Guimond collaborates with scholars based in United States, Canada and Russia. Martin Guimond's co-authors include Michael A. Caligiuri, Crystal L. Mackall, Amy K. Ferketich, Brian Becknell, Sameek Roychowdhury, Aharon G. Freud, Hua Zhang, Hsiaoyin Mao, Guido Marcucci and Tiffany Hughes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Martin Guimond

43 papers receiving 2.0k citations

Peers

Martin Guimond
Comparison fields: 5 of 85
  • Immunology 1.2k
  • Hematology 642
  • Molecular Biology 593
  • Oncology 465
  • Epidemiology 137
Replace Tessa Kerre with:
Tessa Kerre Belgium
Andries C. Bloem Netherlands
Paulo Vidal Campregher Brazil
Hilary J. McKenna Canada
Il‐Kang Na Germany
M. Safford United States
Aleksandra Wodnar‐Filipowicz Switzerland
Michihiro Hidaka Japan
Birgit Knoechel United States
Yoji Sasahara Japan
Tessa Kerre Belgium View profile →
Citations per field, relative to Martin Guimond
Martin Guimond · 1×
Citations per year, relative to Martin Guimond
Martin Guimond · 1×

Countries citing papers authored by Martin Guimond

Since Specialization
Citations

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

Fields of papers citing papers by Martin Guimond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Guimond

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 4
3 15
4 14
5 13
6 14
7 13
8 41
9 67
10 51
11 1
12 174
13 28
14 1
15 87
16 284
17 31
18 66
19 13
20 35

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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