Sagiv Shifman

6.2k citations
64 papers · 2.8k indexed · h-index 29
Topics
Genetics and Neurodevelopmental Disorders (18 papers)Autism Spectrum Disorder Research (14 papers)Genetic Associations and Epidemiology (13 papers)

In The Last Decade

Sagiv Shifman

63 papers receiving 2.7k citations

Peers

Sagiv Shifman
Comparison fields: 5 of 129
  • Genetics 1.5k
  • Molecular Biology 1.3k
  • Cognitive Neuroscience 373
  • Plant Science 240
  • Cellular and Molecular Neuroscience 230
Replace Jason J. Corneveaux with:
Jason J. Corneveaux United States
Nicholas J. Bray United Kingdom
Irina Voineagu Australia
Xinchen Wang China
Pietro Chiurazzi Italy
Dietrich Stephan United States
Jubao Duan United States
Pippa A. Thomson United Kingdom
Rui Luo United States
Carlo Colantuoni United States
Sagiv Shifman relative to Jason J. Corneveaux United States Jason J. Corneveaux's profile →
Citations per field
00.5×1.5×
Jason J. Corneveaux · 1×
Citations per year

Countries citing papers authored by Sagiv Shifman

Since Specialization
Citations

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

Fields of papers citing papers by Sagiv Shifman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sagiv Shifman

This figure shows the co-authorship network connecting the top 25 collaborators of Sagiv Shifman. A scholar is included among the top collaborators of Sagiv Shifman 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 Sagiv Shifman. Sagiv Shifman 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
#WorkIndexed citations
1 11
2 7
3 1
4 5
5 52
6 9
7 47
8 18
9 10
10 113
11 57
12 18
13 16
14 60
15 6
16 33
17 14
18 47
19 150
20 44

About Sagiv Shifman

Sagiv Shifman is a scholar working on Genetics, Cognitive Neuroscience and Aging, having authored 64 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (18 papers), Autism Spectrum Disorder Research (14 papers) and Genetic Associations and Epidemiology (13 papers). The work is most often cited by research in Genetics (1.5k citations), Biological Psychiatry (72 citations) and Developmental Neuroscience (91 citations). Sagiv Shifman has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Jonathan Flint, Eyal Ben‐David, Richard Mott, William Valdar, Ariel Darvasi, Robert W. Williams, Martin S. Taylor, Hermona Soreq, Benjamin Yakir and Richard R. Copley. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

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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