Guy Tsafnat

4.4k citations
38 papers · 1.4k · 1 hit paper · h-index 17

Impact in

Papers in

Guy Tsafnat

38 papers receiving 1.4k citations

Guy Tsafnat's Hit Papers

Gene cassettes and cassette arrays in mobile resistance integrons 2009 · 529 citations
5290+5+11Years since publication100200300400500

Peers

Guy Tsafnat
Comparison fields: 5 of 165
  • Molecular Medicine 463
  • Endocrinology 204
  • Health Informatics 52
  • Metals and Alloys 82
  • Statistics, Probability and Uncertainty 175
Replace Hasan Ejaz with:
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Jay Park Canada
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Idan Yelin Israel
Kashaf Junaid Pakistan
Pratik Shah United States
Sirwan Khalid Ahmed Iraq
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Guy Tsafnat relative to Hasan Ejaz Saudi Arabia Hasan Ejaz's profile →
Citations per field
00.5×10×20×30×43.8×
Hasan Ejaz · 1×
Citations per year

Countries citing papers authored by Guy Tsafnat

Since Specialization
Citations

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

Fields of papers citing papers by Guy Tsafnat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gene cassettes and cassette arrays in mobile resistance integrons
Hit paper breakdown →
2009529
2 2009224
3 201981
4 201452
5 201550
6 201449
7 201142
8 201942
9 201841
10 201837
11 200835
12 201830
13 201130
14 201428
15 201521
16 201717
17 200816
18 200516
19 200913
20 200910

About Guy Tsafnat

Guy Tsafnat is a scholar working on Molecular Biology, Statistics, Probability and Uncertainty, Health Information Management, Information Systems and Management and Artificial Intelligence, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (10 papers), Biomedical Text Mining and Ontologies (7 papers), Genomics and Phylogenetic Studies (5 papers), Electronic Health Records Systems (4 papers), scientometrics and bibliometrics research (4 papers), Scientific Computing and Data Management (4 papers), Antibiotic Resistance in Bacteria (4 papers) and Academic Writing and Publishing (3 papers). The work is most often cited by research in Molecular Medicine (463 citations), Endocrinology (204 citations), Health Informatics (52 citations), Metals and Alloys (82 citations) and Statistics, Probability and Uncertainty (175 citations). Guy Tsafnat has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Enrico Coiera, Sally R. Partridge, Jonathan R. Iredell, Adam G. Dunn, Miew Keen Choong, Paul Glasziou, Daniel Haley, Baptiste Gault, Frédéric De Geuser and Alexandre Fontaine. Their work appears in journals such as Journal of Biomedical Informatics, Systematic Reviews, Annals of Internal Medicine, BMC Bioinformatics and Journal of Clinical Epidemiology.

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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