Avigdor Shafferman

9.3k citations
182 papers · 7.6k indexed · h-index 50

Impact in

Papers in

Avigdor Shafferman

180 papers receiving 7.3k citations

Peers

Avigdor Shafferman
Comparison fields: 5 of 132
  • Pharmacology 3.0k
  • Virology 647
  • Computational Theory and Mathematics 1.8k
  • Genetics 1.5k
  • Endocrinology 265
Replace Baruch Velan with:
Baruch Velan Israel
James B. Jensen United States
Roderich D. Süßmuth Germany
Dennis E. Kyle United States
Michael N.G. James Canada
Tzu‐Ping Ko Taiwan
Patrice Gouet France
Irina Massova United States
Pedro M. Alzari France
Jennifer L. Martin Australia
Avigdor Shafferman relative to Baruch Velan Israel Baruch Velan's profile →
Citations per field
00.5×3.5×
Baruch Velan · 1×
Citations per year

Countries citing papers authored by Avigdor Shafferman

Since Specialization
Citations

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

Fields of papers citing papers by Avigdor Shafferman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201713
2 201544
3 20149
4 201218
5 201124
6 200976
7 200850
8 200830
9 20079
10 200523
11 20026
12 199927
13 19966
14 199690
15 1995104
16 199326
17 19926
18 19890
19 198935
20
Segregation patterns of an oversized P1 plasmid.
19791

About Avigdor Shafferman

Avigdor Shafferman is a scholar working on Virology, Pharmacology, Computational Theory and Mathematics, Genetics and Endocrinology, having authored 182 papers that have together received 7.6k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (65 papers), Bacillus and Francisella bacterial research (47 papers), Computational Drug Discovery Methods (42 papers), Bacterial Genetics and Biotechnology (26 papers), Bacteriophages and microbial interactions (25 papers), Yersinia bacterium, plague, ectoparasites research (24 papers), Pesticide Exposure and Toxicity (24 papers) and Chemical Reaction Mechanisms (12 papers). The work is most often cited by research in Pharmacology (3.0k citations), Virology (647 citations), Computational Theory and Mathematics (1.8k citations), Genetics (1.5k citations) and Endocrinology (265 citations). Avigdor Shafferman has collaborated with scholars based in Israel, United States and Poland. Frequent co-authors include Baruch Velan, Arie Ordentlich, Naomi Ariel, Dov Barak, Chanoch Kronman, Sara Cohen, C. Kronman, Theodor Chitlaru, Yehuda Flashner and Haim Grosfeld. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Infection and Immunity, PLoS ONE and Biochemistry.

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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