Idit Shachar

5.0k citations
84 papers · 3.7k · h-index 35

Impact in

  • Immunology top 0.5%
    • Macrophage Migration Inhibitory Factor
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Galectins and Cancer Biology
    • Immune Response and Inflammation
    • Nuclear Receptors and Signaling

Papers in

    • Immune Cell Function and Interaction 27
    • Macrophage Migration Inhibitory Factor 23
    • T-cell and B-cell Immunology 22
    • Immunotherapy and Immune Responses 21
    • Galectins and Cancer Biology 14
    • Immune Response and Inflammation 7
    • Nuclear Receptors and Signaling 16

Idit Shachar

81 papers receiving 3.6k citations

Peers

Idit Shachar
Comparison fields: 5 of 98
  • Immunology 2.4k
  • Cellular and Molecular Neuroscience 540
  • Genetics 262
  • Immunology and Allergy 135
  • Hematology 203
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Citations per field
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Citations per year

Countries citing papers authored by Idit Shachar

Since Specialization
Citations

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

Fields of papers citing papers by Idit Shachar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006244
2 2007228
3 2007152
4 2008149
5 2012130
6 2013124
7 2005114
8 2016112
9 2014111
10 2004110
11 1996106
12 200197
13 200677
14 200073
15 199572
16 200770
17 200268
18 200967
19 201766
20 200265

About Idit Shachar

Idit Shachar is a scholar working on Immunology, Cellular and Molecular Neuroscience, Molecular Biology, Genetics and Oncology, having authored 84 papers that have together received 3.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (27 papers), Macrophage Migration Inhibitory Factor (23 papers), T-cell and B-cell Immunology (22 papers), Immunotherapy and Immune Responses (21 papers), Nuclear Receptors and Signaling (16 papers), Galectins and Cancer Biology (14 papers), Chronic Lymphocytic Leukemia Research (10 papers) and Immune Response and Inflammation (7 papers). The work is most often cited by research in Immunology (2.4k citations), Cellular and Molecular Neuroscience (540 citations), Genetics (262 citations), Immunology and Allergy (135 citations) and Hematology (203 citations). Idit Shachar has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Shirly Becker-Herman, Frida Lantner, Richard A. Flavell, Yael Gore, Liat Flaishon, Michal Haran, Lin Leng, Richard Bucala, Nathan Karin and Lev Shvidel. Their work appears in journals such as The Journal of Immunology, Journal of Biological Chemistry, Blood, Oncogene and Proceedings of the National Academy of Sciences.

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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