Jesse R. Lasky

6.5k citations
74 papers · 3.6k indexed · 2 hit papers · h-index 33

Jesse R. Lasky

71 papers receiving 3.5k citations

Hit Papers

Comparing methods for detecting multilocus adaptation wit...201820262020202320182020100200300

Peers

Jesse R. Lasky
Comparison fields: 5 of 115
  • Plant Science 1.3k
  • Genetics 1.2k
  • Nature and Landscape Conservation 1.1k
  • Ecology, Evolution, Behavior and Systematics 862
  • Ecology 701
Replace Andrew J. Eckert with:
Andrew J. Eckert United States
Linda Broadhurst Australia
Jason A. Holliday United States
Stephen R. Keller United States
Allan E. Strand United States
Steven J. Franks United States
Myriam Heuertz France
Honor C. Prentice Sweden
Antonio González‐Rodríguez Mexico
Nigel P. Barker South Africa
Jesse R. Lasky relative to Andrew J. Eckert United States Andrew J. Eckert's profile →
Citations per field
00.5×3.7×
Andrew J. Eckert · 1×
Citations per year

Countries citing papers authored by Jesse R. Lasky

Since Specialization
Citations

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

Fields of papers citing papers by Jesse R. Lasky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesse R. Lasky. 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 Jesse R. Lasky. The network helps show where Jesse R. Lasky may publish in the future.

Co-authorship network of co-authors of Jesse R. Lasky

This figure shows the co-authorship network connecting the top 25 collaborators of Jesse R. Lasky. A scholar is included among the top collaborators of Jesse R. Lasky 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 Jesse R. Lasky. Jesse R. Lasky 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 1
3 2
4 2
5 14
6 21
7 17
8 21
9 25
10 28
11 12
12 31
13 12
14
Comparing methods for detecting multilocus adaptation with multivariate genotype–environment associationsbreakdown →
391
15 17
16 25
17 157
18 188
19 104
20
Multiple effects of functional trait variation on successional forest dynamics
3

About Jesse R. Lasky

Jesse R. Lasky is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics, having authored 74 papers that have together received 3.6k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (24 papers), Plant and animal studies (20 papers) and Species Distribution and Climate Change (14 papers). The work is most often cited by research in Ecological Modeling (512 citations), Nature and Landscape Conservation (1.1k citations) and Ecology, Evolution, Behavior and Systematics (862 citations). Jesse R. Lasky has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Brenna R. Forester, Thomas Juenger, María Uriarte, Timothy H. Keitt, Dean L. Urban, Helene H. Wagner, Robin L. Chazdon, Vanessa Boukili, David L. Des Marais and John McKay. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

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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