Yehuda Flashner

2.2k citations
45 papers · 1.8k · h-index 21

Impact in

Papers in

    • Bacillus and Francisella bacterial research 12
    • DNA Repair Mechanisms 6
    • Enzyme function and inhibition 5
    • Yersinia bacterium, plague, ectoparasites research 21
    • Bacterial Genetics and Biotechnology 10

Yehuda Flashner

45 papers receiving 1.8k citations

Peers

Yehuda Flashner
Comparison fields: 5 of 90
  • Pharmacology 808
  • Computational Theory and Mathematics 525
  • Genetics 638
  • Endocrinology 109
  • Parasitology 129
Replace Naomi Ariel with:
Naomi Ariel Israel
Moshe Leitner Israel
Masato Iwatsuki Japan
Gerlind Sulzenbacher France
C. Kronman Israel
R. Jedrzejczak United States
L.J. Worrall Canada
Rokuro Masuma Japan
Masayuki Igarashi Japan
RUIKO OIWA Japan
Yehuda Flashner relative to Naomi Ariel Israel Naomi Ariel's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yehuda Flashner

Since Specialization
Citations

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

Fields of papers citing papers by Yehuda Flashner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993288
2 1992194
3 1992163
4 1988118
5 200485
6 199185
7 199384
8 200976
9 199268
10 200658
11 199557
12 199946
13 199145
14 199643
15 200239
16 200939
17 200338
18 198838
19 200831
20 201124

About Yehuda Flashner

Yehuda Flashner is a scholar working on Molecular Biology, Genetics, Pharmacology, Computational Theory and Mathematics and Parasitology, having authored 45 papers that have together received 1.8k indexed citations. Recurring topics across this work include Yersinia bacterium, plague, ectoparasites research (21 papers), Bacillus and Francisella bacterial research (12 papers), Bacterial Genetics and Biotechnology (10 papers), Cholinesterase and Neurodegenerative Diseases (8 papers), Computational Drug Discovery Methods (7 papers), Vector-borne infectious diseases (7 papers), DNA Repair Mechanisms (6 papers) and Enzyme function and inhibition (5 papers). The work is most often cited by research in Pharmacology (808 citations), Computational Theory and Mathematics (525 citations), Genetics (638 citations), Endocrinology (109 citations) and Parasitology (129 citations). Yehuda Flashner has collaborated with scholars based in Israel and United States. Frequent co-authors include Avigdor Shafferman, Sara Cohen, Baruch Velan, Moshe Leitner, C. Kronman, Jay D. Gralla, Arie Ordentlich, Naomi Ariel, Dov Barak and Haim Grosfeld. Their work appears in journals such as PLoS ONE, Journal of Biological Chemistry, Advances in experimental medicine and biology, Infection and Immunity 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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