Nathalie Isabel

5.0k citations
99 papers · 3.3k indexed · 1 hit paper · h-index 37

Nathalie Isabel

93 papers receiving 3.2k citations

Hit Papers

How useful is genomic data for predicting maladaptation t...33202420262025102030

Peers

Nathalie Isabel
Comparison fields: 5 of 104
  • Nature and Landscape Conservation 989
  • Ecological Modeling 222
  • Genetics 1.2k
  • Global and Planetary Change 807
  • Plant Science 1.1k
Replace Glenn T. Howe with:
Glenn T. Howe United States
Jean Beaulieu Canada
Andrew J. Eckert United States
Om P. Rajora Canada
F. Thomas Ledig United States
Øystein Johnsen Norway
Joan Cottrell United Kingdom
Jesse R. Lasky United States
Antonio González‐Rodríguez Mexico
Gerard J. Allan United States
Nathalie Isabel relative to Glenn T. Howe United States Glenn T. Howe's profile →
Citations per field
00.5×3.1×
Glenn T. Howe · 1×
Citations per year

Countries citing papers authored by Nathalie Isabel

Since Specialization
Citations

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

Fields of papers citing papers by Nathalie Isabel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20242
3
How useful is genomic data for predicting maladaptation to future climate?breakdown →
202433
4 20241
5 20247
6 20234
7 202230
8 202125
9 202141
10 201955
11 201911
12 201813
13 20179
14 201714
15 201339
16 201276
17 201197
18 200821
19
TRANSITION FROM JUVENILE TO MATURE WOOD IN BLACK SPRUCE (PICEA MARIANA (MILL.) B.S.P.)
200562
20
Phenotypic Correlations Between Juvenile-Mature Wood Density and Growth in Black Spruce
200044

About Nathalie Isabel

Nathalie Isabel is a scholar working on Nature and Landscape Conservation, Agronomy and Crop Science and Genetics, having authored 99 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genetic diversity and population structure (30 papers), Forest ecology and management (23 papers), Plant Water Relations and Carbon Dynamics (17 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers), Bioenergy crop production and management (16 papers), Tree-ring climate responses (13 papers), Forest Insect Ecology and Management (11 papers) and Genetic and phenotypic traits in livestock (11 papers). The work is most often cited by research in Nature and Landscape Conservation (989 citations), Ecological Modeling (222 citations) and Genetics (1.2k citations). Nathalie Isabel has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Jean Bousquet, Jean Beaulieu, Betty Pelgas, Manuel Lamothe, Simon Nadeau, Patrick G. Meirmans, Jean Bousquet, P. Lenz, Sergio Rossi and Nathalie Pavy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

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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