Moshe Einhorn

805 total citations · 1 hit paper
7 papers, 548 citations indexed

About

Moshe Einhorn is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Moshe Einhorn has authored 7 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 3 papers in Ecology, Evolution, Behavior and Systematics and 2 papers in Molecular Biology. Recurrent topics in Moshe Einhorn's work include Genomics and Rare Diseases (3 papers), Genetic diversity and population structure (3 papers) and Genomic variations and chromosomal abnormalities (2 papers). Moshe Einhorn is often cited by papers focused on Genomics and Rare Diseases (3 papers), Genetic diversity and population structure (3 papers) and Genomic variations and chromosomal abnormalities (2 papers). Moshe Einhorn collaborates with scholars based in Israel, United States and Spain. Moshe Einhorn's co-authors include Lior Glick, Itay Mayrose, Anna Rice, Ayelet Salman‐Minkov, Naama M. Kopelman, Shiran Abadi, Emma E. Goldberg, Niv Sabath, Sarah P. Otto and Jana C. Vamosi and has published in prestigious journals such as New Phytologist, Molecular Ecology Resources and Orphanet Journal of Rare Diseases.

In The Last Decade

Moshe Einhorn

6 papers receiving 535 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Chromosome Counts Database (CCDB) – a community resource of plant chromosome numbers

2014 480 citations Anna Rice, Lior Glick et al. New Phytologist profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Moshe Einhorn Israel	5	349	294	248	179	42	7	548
Ayelet Salman‐Minkov Israel	5	444 1.3×	277 0.9×	312 1.3×	235 1.3×	29 0.7×	6	646
Jaromír Kučera Slovakia	12	288 0.8×	293 1.0×	134 0.5×	143 0.8×	37 0.9×	35	439
Anna Rice Israel	5	519 1.5×	383 1.3×	334 1.3×	244 1.4×	60 1.4×	5	754
Khatere Emadzade Austria	12	456 1.3×	444 1.5×	269 1.1×	117 0.7×	70 1.7×	12	663
Diego F. Morales‐Briones United States	11	217 0.6×	359 1.2×	311 1.3×	149 0.8×	33 0.8×	32	541
Jaime Güemes Spain	11	363 1.0×	332 1.1×	146 0.6×	102 0.6×	71 1.7×	55	500
R. Obermayer Austria	12	567 1.6×	377 1.3×	300 1.2×	185 1.0×	20 0.5×	18	773
Pedro Escobar García Austria	10	294 0.8×	246 0.8×	118 0.5×	137 0.8×	37 0.9×	16	419
Heike Schmuths Germany	11	616 1.8×	192 0.7×	409 1.6×	226 1.3×	46 1.1×	13	853

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-authorship network of co-authors of Moshe Einhorn

This figure shows the co-authorship network connecting the top 25 collaborators of Moshe Einhorn. A scholar is included among the top collaborators of Moshe Einhorn 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 Moshe Einhorn. Moshe Einhorn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Sansen, Stefaan, Joanne Berghout, Moshe Einhorn, et al.. (2025). TREAT: systematic and inclusive selection process of genes for genomic newborn screening as part of the Screen4Care project. Orphanet Journal of Rare Diseases. 20(1). 231–231.

2.

Einhorn, Moshe, Alina Kurolap, Adi Mory, et al.. (2023). Community data-driven approach to identify pathogenic founder variants for pan-ethnic carrier screening panels. Human Genomics. 17(1). 30–30. 2 indexed citations

3.

Fridman, Hila, et al.. (2021). Performance comparison: exome sequencing as a single test replacing Sanger sequencing. Molecular Genetics and Genomics. 296(3). 653–663. 6 indexed citations

4.

Rice, Anna, et al.. (2018). OneTwoTree: An online tool for phylogeny reconstruction. Molecular Ecology Resources. 18(6). 1492–1499. 29 indexed citations

5.

Sabath, Niv, Emma E. Goldberg, Lior Glick, et al.. (2015). Dioecy does not consistently accelerate or slow lineage diversification across multiple genera of angiosperms. New Phytologist. 209(3). 1290–1300. 27 indexed citations

6.

Rice, Anna, Lior Glick, Shiran Abadi, et al.. (2014). The Chromosome Counts Database (CCDB) – a community resource of plant chromosome numbers. New Phytologist. 206(1). 19–26. 480 indexed citations breakdown →

7.

Silberman, Sandra, et al.. (1968). Clonal evolution in Di Guglielmo syndrome.. PubMed. 11(4). 225–9. 4 indexed citations

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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