Kimberly Martinod

13.5k citations
69 papers · 8.7k indexed · 7 hit papers · h-index 30
Topics
Neutrophil, Myeloperoxidase and Oxidative Mechanisms (46 papers)Cell Adhesion Molecules Research (14 papers)Blood disorders and treatments (13 papers)

In The Last Decade

Kimberly Martinod

64 papers receiving 8.7k citations

Hit Papers

Diabetes primes neutrophils to undergo NETosis, which...200820262014202020152011201220082013250500750

Peers

Kimberly Martinod
Comparison fields: 5 of 135
  • Immunology 5.4k
  • Molecular Biology 2.4k
  • Pulmonary and Respiratory Medicine 1.2k
  • Hematology 1.0k
  • Epidemiology 911
Replace Éric Boilard with:
Éric Boilard Canada
Elliot S. Barnathan United States
Matthias Clauss United States
Marc Monestier United States
C. Erik Hack Netherlands
Braedon McDonald Canada
Rafał Pawliński United States
Bernd Engelmann Germany
Carol A. Wilke United States
Tanya N. Mayadas United States
Kimberly Martinod relative to Éric Boilard Canada Éric Boilard's profile →
Citations per field
00.5×3.2×
Éric Boilard · 1×
Citations per year

Countries citing papers authored by Kimberly Martinod

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly Martinod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly Martinod

This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly Martinod. A scholar is included among the top collaborators of Kimberly Martinod 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 Kimberly Martinod. Kimberly Martinod 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
#WorkIndexed citations
1 0
2 0
3 5
4 5
5 14
6 6
7 12
8 4
9 27
10 12
11 19
12 29
13 16
14 186
15 168
16
P-selectin promotes neutrophil extracellular trap formation in micebreakdown →
429
17 30
18 230
19 427
20 252

About Kimberly Martinod

Kimberly Martinod is a scholar working on Immunology, Immunology and Allergy and Internal Medicine, having authored 69 papers that have together received 8.7k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (46 papers), Cell Adhesion Molecules Research (14 papers) and Blood disorders and treatments (13 papers). The work is most often cited by research in Immunology (5.4k citations), Internal Medicine (825 citations) and Immunology and Allergy (738 citations). Kimberly Martinod has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Denisa D. Wagner, Maureen Gallant, Siu Ling Wong, Mélanie Demers, Tobias A. Fuchs, Yanming Wang, Simon F. De Meyer, Alexander Brill, A.S. Savchenko and Allison B. Goldfine. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Medicine.

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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