Shabbir Simjee

69 papers receiving 3k citations

Peers

Shabbir Simjee
Comparison fields: 5 of 97
  • Applied Microbiology and Biotechnology 557
  • Molecular Medicine 1.3k
  • Microbiology 330
  • Endocrinology 153
  • Food Science 638
Replace Miguel Ángel Moreno with:
Miguel Ángel Moreno Spain
Christopher J. Teale United Kingdom
Filip Boyen Belgium
Anno de Jong Germany
Marie Archambault Canada
Alessia Franco Italy
Ernesto Liébana United Kingdom
Corinna Kehrenberg Germany
Kees T. Veldman Netherlands
Marisa Haenni France
Shabbir Simjee relative to Miguel Ángel Moreno Spain Miguel Ángel Moreno's profile →
Citations per field
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Citations per year

Countries citing papers authored by Shabbir Simjee

Since Specialization
Citations

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

Fields of papers citing papers by Shabbir Simjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002243
2 2006207
3 2019194
4 2002167
5 2002147
6 1998130
7 2016119
8 2019113
9 2017110
10 2002107
11 200696
12 200991
13 201485
14 200579
15 201578
16 200277
17 201166
18 201363
19 200753
20 201851

About Shabbir Simjee

Shabbir Simjee is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Microbiology, Food Science and Clinical Biochemistry, having authored 73 papers that have together received 3.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (40 papers), Antibiotic Use and Resistance (31 papers), Salmonella and Campylobacter epidemiology (10 papers), Microbial infections and disease research (8 papers), Milk Quality and Mastitis in Dairy Cows (5 papers), Bacterial Identification and Susceptibility Testing (4 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and Escherichia coli research studies (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (557 citations), Molecular Medicine (1.3k citations), Microbiology (330 citations), Endocrinology (153 citations) and Food Science (638 citations). Shabbir Simjee has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Patrick F. McDermott, David Gordon White, Shaohua Zhao, David D. Wagner, Anno de Jong, Hilde Moyaert, Farid El Garch, Steven L. Foley, Valerie M. Thomas and Marcus Zervos. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Veterinary Microbiology, Antimicrobial Agents and Chemotherapy, International Journal of Antimicrobial Agents and Journal of Clinical Microbiology.

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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