Lior Greenbaum

3.1k total citations
85 papers, 1.7k citations indexed

About

Lior Greenbaum is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Lior Greenbaum has authored 85 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 28 papers in Genetics and 20 papers in Neurology. Recurrent topics in Lior Greenbaum's work include Parkinson's Disease Mechanisms and Treatments (19 papers), Genetics and Neurodevelopmental Disorders (16 papers) and Genetic Associations and Epidemiology (11 papers). Lior Greenbaum is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (19 papers), Genetics and Neurodevelopmental Disorders (16 papers) and Genetic Associations and Epidemiology (11 papers). Lior Greenbaum collaborates with scholars based in Israel, United States and Canada. Lior Greenbaum's co-authors include Bernard Lerer, Zvi Malik, Amihai Rigbi, Yoav Kohn, Doron Lancet, Edna Ben‐Asher, Kyra Kanyas, Anna Alkelai, Chana Rothmann and Sharon Hassin‐Baer and has published in prestigious journals such as PLoS ONE, Brain and Diabetes Care.

In The Last Decade

Lior Greenbaum

81 papers receiving 1.7k citations

Peers

Lior Greenbaum
Comparison fields: 5 of 121
  • Molecular Biology 667
  • Neurology 335
  • Genetics 333
  • Physiology 318
  • Cellular and Molecular Neuroscience 265
Replace Makoto Arai with:
Makoto Arai Japan
Zamir Shorer Israel
Àngels García‐Cazorla Spain
Hai‐Ying Shen United States
Janine Doorduin Netherlands
Just Genius Germany
Mary E. Hamby United States
Thomas Bettecken Germany
Ming Ren United States
Joohyung Lee Australia
Makoto Arai Japan View profile →
Citations per field, relative to Lior Greenbaum
Lior Greenbaum · 1×
Citations per year, relative to Lior Greenbaum
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Countries citing papers authored by Lior Greenbaum

Since Specialization
Citations

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

Fields of papers citing papers by Lior Greenbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lior Greenbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Lior Greenbaum. A scholar is included among the top collaborators of Lior Greenbaum 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 Lior Greenbaum. Lior Greenbaum 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
# Work Indexed citations
1 5
2 0
3 1
4 3
5 3
6 29
7 29
8 5
9 25
10 60
11 29
12 6
13 22
14 9
15 15
16 9
17 36
18 12
19 86
20 19

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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