Lior Glick

1.5k citations
13 papers · 866 · 1 hit paper · h-index 6

Impact in

Papers in

    • Genetic diversity and population structure 7
    • Evolution and Genetic Dynamics 2
    • Genomics and Phylogenetic Studies 6

Lior Glick

13 papers receiving 853 citations

Lior Glick's Hit Papers

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

Peers

Lior Glick
Comparison fields: 5 of 49
  • Ecology, Evolution, Behavior and Systematics 386
  • Plant Science 537
  • Genetics 252
  • Ecological Modeling 25
  • Nature and Landscape Conservation 65
Replace Yan‐Ping Guo with:
Yan‐Ping Guo China
Andrew A. Crowl United States
Anna Rice Israel
Clayton J. Visger United States
Christiane M. Ritz Germany
Xinshuai Qi United States
Stanislav Španiel Slovakia
Dianella G. Howarth United States
Khatere Emadzade Austria
Alessia Guggisberg Switzerland
Lior Glick relative to Yan‐Ping Guo China Yan‐Ping Guo's profile →
Citations per field
00.5×
Yan‐Ping Guo · 1×
Citations per year

Countries citing papers authored by Lior Glick

Since Specialization
Citations

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

Fields of papers citing papers by Lior Glick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
The Chromosome Counts Database (CCDB) – a community resource of plant chromosome numbers
Hit paper breakdown →
2014488
2 2019234
3 201639
4 201829
5 201527
6 201425
7 20235
8 20215
9 20225
10 20245
11 20212
12
RipTide High Throughput NGS Library Prep for Genotyping in Populations
20191
13 20131

About Lior Glick

Lior Glick is a scholar working on Genetics, Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation, having authored 13 papers that have together received 866 indexed citations. Recurring topics across this work include Genetic diversity and population structure (7 papers), Chromosomal and Genetic Variations (6 papers), Genomics and Phylogenetic Studies (6 papers), Evolution and Genetic Dynamics (2 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper), Plant and animal studies (1 paper), Ecology and Vegetation Dynamics Studies (1 paper) and Plant Disease Resistance and Genetics (1 paper). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (386 citations), Plant Science (537 citations), Genetics (252 citations), Ecological Modeling (25 citations) and Nature and Landscape Conservation (65 citations). Lior Glick has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Itay Mayrose, Anna Rice, Moshe Einhorn, Jonathan Mayzel, Shiran Abadi, Ayelet Salman‐Minkov, Naama M. Kopelman, Niv Sabath, Maria Novosolov and Petr Šmarda. Their work appears in journals such as Molecular Ecology Resources, New Phytologist, Molecular Biology and Evolution, Journal of Evolutionary Biology and American Journal of Botany.

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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