Imad Kassis

110 papers receiving 2.4k citations

Peers

Imad Kassis
Comparison fields: 5 of 102
  • Applied Microbiology and Biotechnology 104
  • Molecular Medicine 267
  • Infectious Diseases 623
  • Microbiology 206
  • Epidemiology 840
Replace Urs Beat Schaad with:
Urs Beat Schaad Switzerland
Jang Wook Sohn South Korea
Joon‐Sup Yeom South Korea
Fredrick M. Abrahamian United States
María Carmen Fariñas Spain
Susan Shin‐Jung Lee Taiwan
Baek-Nam Kim South Korea
Recep Tekin Türkiye
Michael Dan Israel
Maja Rozenberg-Arska Netherlands
Imad Kassis relative to Urs Beat Schaad Switzerland Urs Beat Schaad's profile →
Citations per field
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Citations per year

Countries citing papers authored by Imad Kassis

Since Specialization
Citations

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

Fields of papers citing papers by Imad Kassis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992195
2 2009191
3 2012151
4 2010138
5 2013122
6 2001118
7 199884
8 199379
9 199867
10 201064
11 200964
12 199954
13 201452
14 199650
15 198744
16 201140
17 200138
18 200236
19 200035
20 200633

About Imad Kassis

Imad Kassis is a scholar working on Epidemiology, Infectious Diseases, Microbiology, Parasitology and Public Health, Environmental and Occupational Health, having authored 113 papers that have together received 2.6k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (12 papers), Respiratory viral infections research (11 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Neonatal and Maternal Infections (7 papers), Streptococcal Infections and Treatments (7 papers), Orthopedic Infections and Treatments (7 papers), Vector-borne infectious diseases (6 papers) and Pneumonia and Respiratory Infections (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (104 citations), Molecular Medicine (267 citations), Infectious Diseases (623 citations), Microbiology (206 citations) and Epidemiology (840 citations). Imad Kassis has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Yael Shachor‐Meyouhas, Ron Dagan, Pablo Yagupsky, Khetam Hussein, Imad R. Makhoul, Polo O. Sujov, Menachem S. Einhorn, Ilana Oren, Hanna Sprecher and R. Finkelstein. Their work appears in journals such as The Pediatric Infectious Disease Journal, Acta Paediatrica, Journal of Clinical Microbiology, PEDIATRICS and European Journal of Clinical Microbiology & Infectious Diseases.

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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