Haim Barr

3.2k citations
35 papers · 953 indexed · h-index 16

Impact in

  • Physiology top 10%
    • Ubiquitin and proteasome pathways
    • Advanced biosensing and bioanalysis techniques
    • Chemical Synthesis and Analysis
    • RNA modifications and cancer

Papers in

    • Adenosine and Purinergic Signaling 3
    • Chronic Lymphocytic Leukemia Research 2

Haim Barr

34 papers receiving 942 citations

Peers

Haim Barr
Comparison fields: 5 of 88
  • Physiology 47
  • Molecular Biology 662
  • Cell Biology 127
  • Cancer Research 92
  • Organic Chemistry 147
Replace Salvatore Di Maro with:
Salvatore Di Maro Italy
Qingxiang Sun China
Magdalena M. Szewczyk Canada
Sascha Menninger Germany
Soojin Kwon South Korea
E. Salah United Kingdom
Meredith L. Jenkins Canada
Mark Knapp United States
Huawei Qiu United States
Alexander Vinitsky United States
Haim Barr relative to Salvatore Di Maro Italy Salvatore Di Maro's profile →
Citations per field
00.5×
Salvatore Di Maro · 1×
Citations per year

Countries citing papers authored by Haim Barr

Since Specialization
Citations

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

Fields of papers citing papers by Haim Barr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999125
2 2017110
3 200396
4 200971
5 202171
6 199958
7 202155
8 202152
9 202152
10 201628
11 201826
12 199525
13 202024
14 202021
15 201216
16 201016
17 201914
18 202013
19 202011
20 202310

About Haim Barr

Haim Barr is a scholar working on Physiology, Genetics, Molecular Biology, Infectious Diseases and Hematology, having authored 35 papers that have together received 953 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (5 papers), Click Chemistry and Applications (4 papers), Autophagy in Disease and Therapy (3 papers), Adenosine and Purinergic Signaling (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Acute Myeloid Leukemia Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Physiology (47 citations), Molecular Biology (662 citations), Cell Biology (127 citations), Cancer Research (92 citations) and Organic Chemistry (147 citations). Haim Barr has collaborated with scholars based in Israel, United States and Czechia. Frequent co-authors include Tamar Kleinberger, Rakefet Sharf, Ronit Shtrichman, Thomas Dobner, Yuval Reiss, Nir London, Ronen Gabizon, Aaron Ciechanover, Hedva Gonen and Ayelet Shmueli. Their work appears in journals such as Journal of Medicinal Chemistry, iScience, Scientific Reports, Journal of the American Chemical Society and Bioorganic & Medicinal Chemistry Letters.

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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