Moshe Einhorn

828 citations
7 papers · 557 · 1 hit paper · h-index 5

Impact in

Papers in

Moshe Einhorn

6 papers receiving 544 citations

Moshe Einhorn's Hit Papers

The Chromosome Counts Database (CCDB) – a community resource of plant chromosome numbers 2014 · 488 citations
4880+4+8Years since publication100200300400

Peers

Moshe Einhorn
Comparison fields: 5 of 49
  • Ecology, Evolution, Behavior and Systematics 277
  • Plant Science 329
  • Genetics 160
  • Ecological Modeling 15
  • Molecular Biology 226
Replace Khatere Emadzade with:
Khatere Emadzade Austria
Anna Rice Israel
Diego F. Morales‐Briones United States
Lior Glick Israel
Carolin A. Rebernig Austria
Julià Molero Spain
Cornelia Löhne Germany
Ayelet Salman‐Minkov Israel
Pedro Escobar García Austria
Sven Snogerup Sweden
Moshe Einhorn relative to Khatere Emadzade Austria Khatere Emadzade's profile →
Citations per field
00.5×
Khatere Emadzade · 1×
Citations per year

Countries citing papers authored by Moshe Einhorn

Since Specialization
Citations

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

Fields of papers citing papers by Moshe Einhorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
The Chromosome Counts Database (CCDB) – a community resource of plant chromosome numbers
Hit paper breakdown →
2014488
2 201829
3 201527
4 20217
5
Clonal evolution in Di Guglielmo syndrome.
19684
6 20232
7 20250

About Moshe Einhorn

Moshe Einhorn is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Surgery, Molecular Biology and Nature and Landscape Conservation, having authored 7 papers that have together received 557 indexed citations. Recurring topics across this work include Genetic diversity and population structure (3 papers), Genomics and Rare Diseases (2 papers), Genomics and Phylogenetic Studies (1 paper), Plant Diversity and Evolution (1 paper), Cancer Genomics and Diagnostics (1 paper), Plant Taxonomy and Phylogenetics (1 paper), Virology and Viral Diseases (1 paper) and Plant and animal studies (1 paper). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (277 citations), Plant Science (329 citations), Genetics (160 citations), Ecological Modeling (15 citations) and Molecular Biology (226 citations). Moshe Einhorn has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Lior Glick, Itay Mayrose, Anna Rice, Jonathan Mayzel, Shiran Abadi, Ayelet Salman‐Minkov, Naama M. Kopelman, Tia‐Lynn Ashman, Niv Sabath and Sarah P. Otto. Their work appears in journals such as New Phytologist, Molecular Genetics and Genomics, Human Genomics, Molecular Ecology Resources and Orphanet Journal of Rare Diseases.

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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