Gur Yaari

7.1k citations
90 papers · 3.8k · h-index 29

Impact in

Papers in

    • T-cell and B-cell Immunology 38
    • Immune Cell Function and Interaction 20
    • Immunotherapy and Immune Responses 7
    • Immunodeficiency and Autoimmune Disorders 5
    • vaccines and immunoinformatics approaches 9
    • Single-cell and spatial transcriptomics 6
    • Glycosylation and Glycoproteins Research 4

Gur Yaari

87 papers receiving 3.7k citations

Peers

Gur Yaari
Comparison fields: 5 of 138
  • Immunology 2.1k
  • Radiology, Nuclear Medicine and Imaging 750
  • Virology 113
  • Gastroenterology 105
  • Genetics 169
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Citations per field
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Citations per year

Countries citing papers authored by Gur Yaari

Since Specialization
Citations

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

Fields of papers citing papers by Gur Yaari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015445
2 2011375
3 2014328
4 2014277
5 2015167
6 2012147
7 2013145
8 2013144
9 2015137
10 2019122
11 2017106
12 201371
13 201969
14 201165
15 201161
16 202056
17 201944
18 201944
19 201943
20 201939

About Gur Yaari

Gur Yaari is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Economics and Econometrics and Genetics, having authored 90 papers that have together received 3.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (38 papers), Immune Cell Function and Interaction (20 papers), Monoclonal and Polyclonal Antibodies Research (19 papers), vaccines and immunoinformatics approaches (9 papers), Immunotherapy and Immune Responses (7 papers), Single-cell and spatial transcriptomics (6 papers), Immunodeficiency and Autoimmune Disorders (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Immunology (2.1k citations), Radiology, Nuclear Medicine and Imaging (750 citations), Virology (113 citations), Gastroenterology (105 citations) and Genetics (169 citations). Gur Yaari has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Steven H. Kleinstein, Mohamed Uduman, Jason A. Vander Heiden, Daniel Gadala-Maria, Kevin C. O’Connor, Namita T. Gupta, François Vigneault, Joel N. H. Stern, David A. Hafler and Ann M. Haberman. Their work appears in journals such as Nucleic Acids Research, Frontiers in Immunology, Bioinformatics, The Journal of Immunology and PLoS Computational Biology.

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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