Eyal Grunebaum

4.4k citations
113 papers · 1.9k indexed · h-index 25

Impact in

  • Immunology top 5%
    • Immunodeficiency and Autoimmune Disorders
    • Immune Cell Function and Interaction
  • Physiology top 2%
    • Adenosine and Purinergic Signaling

Papers in

    • Immunodeficiency and Autoimmune Disorders 46
    • Immune Cell Function and Interaction 22
    • Adenosine and Purinergic Signaling 10

Eyal Grunebaum

107 papers receiving 1.9k citations

Peers

Eyal Grunebaum
Comparison fields: 5 of 102
  • Immunology 888
  • Physiology 170
  • Hematology 329
  • Genetics 517
  • Genetics 146
Replace Markus G. Seidel with:
Markus G. Seidel Austria
Anthony Dorling United Kingdom
Kiran Nistala United Kingdom
Prabhakar Putheti United States
Alla Skapenko Germany
Stefano Volpi Italy
Hidefumi Kojima Japan
Hans‐Hartmut Peter Germany
Jean‐François Eliaou France
Farshid N. Rouhani United States
Eyal Grunebaum relative to Markus G. Seidel Austria Markus G. Seidel's profile →
Citations per field
00.5×1.5×2.5×
Markus G. Seidel · 1×
Citations per year

Countries citing papers authored by Eyal Grunebaum

Since Specialization
Citations

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

Fields of papers citing papers by Eyal Grunebaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20243
5 20239
6 20228
7 20216
8 20215
9 20205
10 202016
11 20206
12 202011
13 201915
14 201813
15 201637
16 201369
17 201220
18 201273
19 200987
20 200821

About Eyal Grunebaum

Eyal Grunebaum is a scholar working on Immunology, Physiology, Hematology, Immunology and Allergy and Genetics, having authored 113 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (46 papers), Cytomegalovirus and herpesvirus research (28 papers), Immune Cell Function and Interaction (22 papers), Biochemical and Molecular Research (16 papers), Virus-based gene therapy research (13 papers), Blood disorders and treatments (12 papers), Hematopoietic Stem Cell Transplantation (11 papers) and Adenosine and Purinergic Signaling (10 papers). The work is most often cited by research in Immunology (888 citations), Physiology (170 citations), Hematology (329 citations), Genetics (517 citations) and Genetics (146 citations). Eyal Grunebaum has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Chaim M. Roifman, Amos Cohen, Ana Isabel Toro-Montoya, Raz Somech, Weixian Min, Ilan Dalal, Alessandro Aiuti, Yoram Faitelson, Yehuda Shoenfeld and Adelle Atkinson. Their work appears in journals such as Journal of Allergy and Clinical Immunology, Immunologic Research, The Journal of Allergy and Clinical Immunology In Practice, Clinical Immunology and Frontiers in Immunology.

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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