Dov Barak

4.0k citations
51 papers · 3.3k · h-index 30

Impact in

Papers in

    • Cholinesterase and Neurodegenerative Diseases 33
    • Receptor Mechanisms and Signaling 13
    • Pharmacological Receptor Mechanisms and Effects 6

Dov Barak

51 papers receiving 3.2k citations

Peers

Dov Barak
Comparison fields: 5 of 105
  • Pharmacology 2.2k
  • Computational Theory and Mathematics 1.3k
  • Physiology 340
  • Organic Chemistry 888
  • Plant Science 1.1k
Replace Lilly Toker with:
Lilly Toker Israel
Francisco Orallo Spain
Marco Catto Italy
Hay Dvir Israel
Paola Chimenti Italy
Matilde Yáñez Spain
Leonardo Pisani Italy
Michela Rosini Italy
Harry M. Greenblatt Israel
Jure Stojan Slovenia
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Citations per field
00.5×10×16.2×
Lilly Toker · 1×
Citations per year

Countries citing papers authored by Dov Barak

Since Specialization
Citations

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

Fields of papers citing papers by Dov Barak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993288
2 2000263
3 1999214
4 1992194
5 1992162
6 1994156
7 1996143
8 1998124
9 2002124
10 2002123
11 1995104
12 199690
13 199978
14 200978
15 199876
16 200174
17 199570
18 199469
19 200165
20 199363

About Dov Barak

Dov Barak is a scholar working on Pharmacology, Molecular Biology, Organic Chemistry, Computational Theory and Mathematics and Plant Science, having authored 51 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (33 papers), Computational Drug Discovery Methods (18 papers), Pesticide Exposure and Toxicity (14 papers), Receptor Mechanisms and Signaling (13 papers), Chemical Reaction Mechanisms (10 papers), Adenosine and Purinergic Signaling (8 papers), Chemical synthesis and alkaloids (8 papers) and Pharmacological Receptor Mechanisms and Effects (6 papers). The work is most often cited by research in Pharmacology (2.2k citations), Computational Theory and Mathematics (1.3k citations), Physiology (340 citations), Organic Chemistry (888 citations) and Plant Science (1.1k citations). Dov Barak has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Avigdor Shafferman, Arie Ordentlich, Baruch Velan, Naomi Ariel, Yoffi Segall, Chanoch Kronman, C. Kronman, Kenneth A. Jacobson, Moshe Leitner and Yehuda Flashner. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Chemico-Biological Interactions, Journal of Medicinal Chemistry and FEBS 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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