Shabbir Simjee

58 papers receiving 2.5k citations

Peers

Shabbir Simjee
Comparison fields: 5 of 119
  • Molecular Medicine 844
  • Microbiology 596
  • Endocrinology 352
  • Applied Microbiology and Biotechnology 110
  • Food Science 903
Replace Miguel Á. Moreno with:
Miguel Á. Moreno Spain
Christopher Teale United Kingdom
Marianne Sunde Norway
Filip Boyen Belgium
Sam Abraham Australia
Tetsuo Asai Japan
Bernd‐Alois Tenhagen Germany
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Charlene R. Jackson United States
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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 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002222
2 2006188
3 2019165
4 2002157
5 2002134
6 1998118
7 2016107
8 2017102
9 2019101
10 200294
11 200689
12 200987
13 201477
14 201575
15 200574
16 200269
17 201160
18 201354
19 201847
20 199740

About Shabbir Simjee

Shabbir Simjee is a scholar working on Infectious Diseases, Molecular Medicine, Microbiology, Clinical Biochemistry and Food Science, having authored 60 papers that have together received 2.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (20 papers), Bacterial Identification and Susceptibility Testing (17 papers), Microbial infections and disease research (17 papers), Antimicrobial Resistance in Staphylococcus (16 papers), Salmonella and Campylobacter epidemiology (13 papers), Pharmaceutical and Antibiotic Environmental Impacts (10 papers), Bacterial biofilms and quorum sensing (4 papers) and Veterinary medicine and infectious diseases (4 papers). The work is most often cited by research in Molecular Medicine (844 citations), Microbiology (596 citations), Endocrinology (352 citations), Applied Microbiology and Biotechnology (110 citations) and Food Science (903 citations). Shabbir Simjee has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Patrick F. McDermott, David G. White, David D. Wagner, Shaohua Zhao, Anno de Jong, Hilde Moyaert, Farid El Garch, Valérie Thomas, Steven L. Foley and Marcus Zervos. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Veterinary Microbiology, International Journal of Antimicrobial Agents, Antimicrobial Agents and Chemotherapy and Annals of the New York 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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