Marie Kaminski

676 total citations
64 papers, 520 citations indexed

About

Marie Kaminski is a scholar working on Molecular Biology, Genetics and Animal Science and Zoology. According to data from OpenAlex, Marie Kaminski has authored 64 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in Genetics and 12 papers in Animal Science and Zoology. Recurrent topics in Marie Kaminski's work include Genetic diversity and population structure (9 papers), Genetic and phenotypic traits in livestock (8 papers) and Animal Nutrition and Physiology (6 papers). Marie Kaminski is often cited by papers focused on Genetic diversity and population structure (9 papers), Genetic and phenotypic traits in livestock (8 papers) and Animal Nutrition and Physiology (6 papers). Marie Kaminski collaborates with scholars based in France, Poland and Netherlands. Marie Kaminski's co-authors include C. E. Tanner, G Lucotte, M. Rabaey, R.J. Wieme, J. François, Claude P. Gros, Bernard Labouesse, Geneviève Lemaire, Jekisiel Szulmajster and Philippe Dubois and has published in prestigious journals such as Nature, The Journal of Immunology and FEBS Letters.

In The Last Decade

Marie Kaminski

60 papers receiving 446 citations

Peers

Marie Kaminski
Comparison fields: 5 of 83
  • Molecular Biology 214
  • Genetics 143
  • Animal Science and Zoology 71
  • Ecology 40
  • Immunology 39
Replace D. T. Williams with:
D. T. Williams United States
N. J. Wardrip United States
W. M. Grosse United States
J Asaka Japan
Věra Jonáková Czechia
José L. Saborío Mexico
H. Subak-Sharpe United Kingdom
Dominic Kurian United Kingdom
Tatsudo Tamura Japan
Grégoire Harichaux France
D. T. Williams United States View profile →
Citations per field, relative to Marie Kaminski
Marie Kaminski · 1×
Citations per year, relative to Marie Kaminski
Marie Kaminski · 1×

Countries citing papers authored by Marie Kaminski

Since Specialization
Citations

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

Fields of papers citing papers by Marie Kaminski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Kaminski

This figure shows the co-authorship network connecting the top 25 collaborators of Marie Kaminski. A scholar is included among the top collaborators of Marie Kaminski 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 Marie Kaminski. Marie Kaminski 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 0
2 6
3 8
4 10
5 6
6 8
7 1
8
Genetic blood polymorphism of Polish primitive horse (Equus caballus Gmelini Ant.). 1. Population of 1975-1977.
1
9 18
10 3
11 4
12 1
13 4
14 2
15 5
16 1
17
Les lipoprotéines sériques sont-elles des estérases ?: II — Etude de la lipoprotéine de haute densité du sérum humain
1
18
[Immunochemical study of the proteolysis of ovalbumin].
1
19 56
20 36

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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