Marie Clément

799 citations
22 papers · 530 · h-index 13

Impact in

Papers in

    • Fish Ecology and Management Studies 11
    • Genetic diversity and population structure 10
    • Genetic and phenotypic traits in livestock 7
    • Genetic Mapping and Diversity in Plants and Animals 2

Marie Clément

21 papers receiving 519 citations

Peers

Marie Clément
Comparison fields: 5 of 103
  • Nature and Landscape Conservation 228
  • Genetics 253
  • Ecology 166
  • Aquatic Science 43
  • Ecological Modeling 20
Replace Daniel P. Drinan with:
Daniel P. Drinan United States
Anthony J. Clemento United States
Emma V. A. Sylvester Canada
Marine Servane Ono Brieuc Norway
Amandine D. Marie Fiji
John B. Horne Australia
Charles D. Waters United States
Grethe Robertsen Norway
Minoru Kanaiwa Japan
Sarah Cohen United States
Marie Clément relative to Daniel P. Drinan United States Daniel P. Drinan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marie Clément

Since Specialization
Citations

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

Fields of papers citing papers by Marie Clément

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017100
2 201959
3 201854
4 202049
5 201933
6 201732
7 201827
8 202126
9 202022
10 200621
11 201821
12 201419
13 202213
14 200912
15 201011
16 200510
17 20189
18 20226
19 20213
20 20132

About Marie Clément

Marie Clément is a scholar working on Nature and Landscape Conservation, Genetics, Ecology, Molecular Biology and Environmental Chemistry, having authored 22 papers that have together received 530 indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (11 papers), Genetic diversity and population structure (10 papers), Genetic and phenotypic traits in livestock (7 papers), Wildlife Ecology and Conservation (2 papers), Peatlands and Wetlands Ecology (2 papers), Chromosomal and Genetic Variations (2 papers), Hydrology and Sediment Transport Processes (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Nature and Landscape Conservation (228 citations), Genetics (253 citations), Ecology (166 citations), Aquatic Science (43 citations) and Ecological Modeling (20 citations). Marie Clément has collaborated with scholars based in Canada, United States and Norway. Frequent co-authors include Paul Bentzen, Ian Bradbury, John B. Horne, Robert G. Beiko, Sarah J. Lehnert, Emma V. A. Sylvester, Tony Kess, Nicholas W. Jeffery, Jon Pearce and Louis Bernatchez. Their work appears in journals such as Molecular Ecology, Evolutionary Applications, Oecologia, Nature Communications and Elementa Science of the Anthropocene.

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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