Yaron Gurovich

1.2k citations
3 papers · 440 indexed · 1 hit paper · h-index 3
Topics
Genomics and Rare Diseases (1 paper)Systemic Lupus Erythematosus Research (1 paper)RNA regulation and disease (1 paper)

In The Last Decade

Yaron Gurovich

3 papers receiving 423 citations

Hit Papers

Identifying facial phenotypes of genetic disorders using ...20182026202020232018100200300400

Peers

Yaron Gurovich
Comparison fields: 5 of 104
  • Genetics 155
  • Molecular Biology 118
  • Artificial Intelligence 84
  • Computer Vision and Pattern Recognition 54
  • Radiology, Nuclear Medicine and Imaging 51
Replace Yair Hanani with:
Yair Hanani Israel
Nicole Fleischer United States
Omri Bar United States
Lina Basel‐Salmon Israel
Guy Nadav Israel
Ezgi Mercan United States
Qianzhong Cao China
Murat Sincan United States
Michael Tran Duong United States
Ken Takasawa Japan
Yaron Gurovich relative to Yair Hanani Israel Yair Hanani's profile →
Citations per field
00.5×1.5×
Yair Hanani · 1×
Citations per year

Countries citing papers authored by Yaron Gurovich

Since Specialization
Citations

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

Fields of papers citing papers by Yaron Gurovich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaron Gurovich

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

All Works

3 of 3 papers shown
#WorkIndexed citations
1 2
2
Identifying facial phenotypes of genetic disorders using deep learningbreakdown →
411
3 27

About Yaron Gurovich

Yaron Gurovich is a scholar working on Genetics, Rheumatology and Physiology, having authored 3 papers that have together received 440 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (1 paper), Systemic Lupus Erythematosus Research (1 paper) and RNA regulation and disease (1 paper). The work is most often cited by research in Health Informatics (44 citations), Genetics (155 citations) and Health Information Management (13 citations). Yaron Gurovich has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Nicole Fleischer, Yair Hanani, Peter Krawitz, Lynne M. Bird, Guy Nadav, Martin Zenker, Karen W. Gripp, Omri Bar, Susanne B. Kamphausen and Lina Basel‐Salmon. Their work appears in journals such as Nature Medicine, Journal of Inherited Metabolic Disease and IEEE Pulse.

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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