Haim Bar
- Environmental Engineering top 10%
- Obstetrics and Gynecology top 10%
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- RNA and protein synthesis mechanisms 8
- Gene expression and cancer classification 7
- RNA modifications and cancer 6
- Bioinformatics and Genomic Networks 4
- RNA Research and Splicing 4
- Genomics and Phylogenetic Studies 3
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- Statistical Methods and Inference 6
- Statistical Methods and Bayesian Inference 5
- Co-authors
- James G. BoothChava Kimchi‐SarfatyElad TakoMartin T. WellsQasim Khalil BegMiriam A. RosenbaumLargus T. AngenentMichael A. Cotta
- Journals
- PLoS ONE (4 papers)Journal of the European Academy of Dermatology and Venereology (2 papers)Nutrients (2 papers)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Haim Bar
53 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 149
- Environmental Engineering 111
- Biological Psychiatry 19
- Obstetrics and Gynecology 51
- Molecular Biology 414
- Rheumatology 80
Countries citing papers authored by Haim Bar
This map shows the geographic impact of Haim Bar'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 Bar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haim Bar more than expected).
Fields of papers citing papers by Haim Bar
This network shows the impact of papers produced by Haim Bar. 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 Bar. The network helps show where Haim Bar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Haim Bar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 13 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 13 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 26 | |
| 9 | 2019 | 4 | |
| 10 | 2019 | 97 | |
| 11 | 2019 | 96 | |
| 12 | 2018 | 1 | |
| 13 | 2016 | 29 | |
| 14 | 2012 | 13 | |
| 15 | 2012 | 11 | |
| 16 | 2012 | 51 | |
| 17 | 2010 | 71 | |
| 18 | 2010 | 39 | |
| 19 | 2008 | 20 | |
| 20 | 2003 | 1 |
About Haim Bar
Haim Bar is a scholar working on Statistics and Probability, Complementary and Manual Therapy, Electrochemistry, Nutrition and Dietetics and Molecular Biology, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), Gene expression and cancer classification (7 papers), Statistical Methods and Inference (6 papers), RNA modifications and cancer (6 papers), Statistical Methods and Bayesian Inference (5 papers), Bioinformatics and Genomic Networks (4 papers), RNA Research and Splicing (4 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Environmental Engineering (111 citations), Biological Psychiatry (19 citations), Obstetrics and Gynecology (51 citations), Molecular Biology (414 citations) and Rheumatology (80 citations). Haim Bar has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include James G. Booth, Chava Kimchi‐Sarfaty, Elad Tako, Martin T. Wells, Qasim Khalil Beg, Miriam A. Rosenbaum, Largus T. Angenent, Michael A. Cotta, Daniel Segrè and Anton A. Komar. Their work appears in journals such as PLoS ONE, Journal of the European Academy of Dermatology and Venereology, Nutrients, SLAS DISCOVERY and Journal of the American Statistical Association.
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.