Jonathan Mayzel

4.1k citations
6 papers · 3.0k · 2 hit papers · h-index 4

Impact in

Papers in

Jonathan Mayzel

5 papers receiving 2.9k citations

Jonathan Mayzel's Hit Papers

Clumpak: a program for identifying clustering modes and packaging population structure inferences across K 2015 · 2.5k citations
2.5k0+4+8Years since publication50010001.5k2.0k

Peers

Jonathan Mayzel
Comparison fields: 5 of 100
  • Genetics 1.7k
  • Ecological Modeling 166
  • Ecology, Evolution, Behavior and Systematics 745
  • Nature and Landscape Conservation 416
  • Ecology 716
Replace Naama M. Kopelman with:
Naama M. Kopelman Israel
Éric Bazin France
Inger Skrede Norway
Emily H. Kay United States
Mark Currey United States
Mathieu Gautier France
John W. Davey United Kingdom
Éric Frichot France
Virginie Ravigné France
Deren A. R. Eaton United States
Jonathan Mayzel relative to Naama M. Kopelman Israel Naama M. Kopelman's profile →
Citations per field
00.5×1.5×
Naama M. Kopelman · 1×
Citations per year

Countries citing papers authored by Jonathan Mayzel

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Mayzel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Jonathan Mayzel, 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 Jonathan Mayzel Line = papers co-authored together Jonathan Mayzel links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Clumpak: a program for identifying clustering modes and packaging population structure inferences across K
Hit paper breakdown →
20152454
2
The Chromosome Counts Database (CCDB) – a community resource of plant chromosome numbers
Hit paper breakdown →
2014488
3 201912
4 202410
5 20241
6 20240

About Jonathan Mayzel

Jonathan Mayzel is a scholar working on Cognitive Neuroscience, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Artificial Intelligence and Genetics, having authored 6 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (2 papers), Neural Networks and Applications (2 papers), Genetic diversity and population structure (2 papers), Circadian rhythm and melatonin (1 paper), Chromosomal and Genetic Variations (1 paper), Retinal Development and Disorders (1 paper), Biochemical Analysis and Sensing Techniques (1 paper) and Advanced Memory and Neural Computing (1 paper). The work is most often cited by research in Genetics (1.7k citations), Ecological Modeling (166 citations), Ecology, Evolution, Behavior and Systematics (745 citations), Nature and Landscape Conservation (416 citations) and Ecology (716 citations). Jonathan Mayzel has collaborated with scholars based in Israel, Austria and Italy. Frequent co-authors include Itay Mayrose, Naama M. Kopelman, Noah A. Rosenberg, Mattias Jakobsson, Lior Glick, Moshe Einhorn, Anna Rice, Shiran Abadi, Ayelet Salman‐Minkov and Atul Varshney. Their work appears in journals such as eLife, Nature Communications, New Phytologist, Molecular Ecology Resources and Science Advances.

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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