Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Proinflammatory Activities of S100: Proteins S100A8, S100A9, and S100A8/A9 Induce Neutrophil Chemotaxis and Adhesion
2003694 citationsCarle Ryckman, Karen Vandal et al.The Journal of Immunologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of M. Talbot'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 M. Talbot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Talbot more than expected).
This network shows the impact of papers produced by M. Talbot. 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 M. Talbot. The network helps show where M. Talbot may publish in the future.
Co-authorship network of co-authors of M. Talbot
This figure shows the co-authorship network connecting the top 25 collaborators of M. Talbot.
A scholar is included among the top collaborators of M. Talbot 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 M. Talbot. M. Talbot is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Talbot, M., Patrick Carrier, Claude Giasson, et al.. (2006). Autologous transplantation of rabbit limbal epithelia cultured on fibrin gels for ocular surface reconstruction.. PubMed. 12. 65–75.53 indexed citations
4.
Proulx, Stéphanie, Alain Laplante, Patrick Carrier, et al.. (2005). Improvement of the Growth Conditions of Reconstructed Human Corneas. Investigative Ophthalmology & Visual Science. 46(13). 5004–5004.1 indexed citations
Germain, Lucie, et al.. (2004). FIBROBLASTS MODULATE DIFFERENTIATION AND STRATIFICATION OF EPITHELIAL CELLS ON RECONSTRUCTED HUMAN CORNEA THROUGH THE PRODUCTION OF SOLUBLE FACTORS. Investigative Ophthalmology & Visual Science. 45(13). 1451–1451.1 indexed citations
7.
Deschambeault, A., Patrick Carrier, M. Talbot, & Lucie Germain. (2003). In vitro Characterization of Human Limbal Epithelial Cells Isolated from the Four Quadrants. Investigative Ophthalmology & Visual Science. 44(13). 1357–1357.1 indexed citations
8.
Ryckman, Carle, Karen Vandal, Pascal Rouleau, M. Talbot, & Philippe A. Tessier. (2003). Proinflammatory Activities of S100: Proteins S100A8, S100A9, and S100A8/A9 Induce Neutrophil Chemotaxis and Adhesion. The Journal of Immunology. 170(6). 3233–3242.694 indexed citations breakdown →
Deschambeault, A., et al.. (2002). Regional Variation in the Localization of Limbal Stem Cells. Investigative Ophthalmology & Visual Science. 43(13). 1621–1621.1 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.