Stephen E. Mshana

8.1k citations
279 papers · 5.3k indexed · h-index 41

Impact in

Papers in

Stephen E. Mshana

261 papers receiving 5.1k citations

Peers

Stephen E. Mshana
Comparison fields: 5 of 151
  • Applied Microbiology and Biotechnology 1.1k
  • Molecular Medicine 1.8k
  • Endocrinology 732
  • Clinical Biochemistry 487
  • Infectious Diseases 1.3k
Replace Po‐Liang Lu with:
Po‐Liang Lu Taiwan
Albert Sotto France
Gunnar Skov Simonsen Norway
Jonathan R. Iredell Australia
Philippe Lagacé‐Wiens Canada
Sílvia Figueiredo Costa Brazil
José Miguel Cisneros Spain
Arne C. Rodloff Germany
Amy J. Mathers United States
Souha S. Kanj Lebanon
Stephen E. Mshana relative to Po‐Liang Lu Taiwan Po‐Liang Lu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Stephen E. Mshana

Since Specialization
Citations

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

Fields of papers citing papers by Stephen E. Mshana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen E. Mshana. 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 Stephen E. Mshana. The network helps show where Stephen E. Mshana may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
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13 20237
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15 20226
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17 202138
18 201718
19 201625
20 20165

About Stephen E. Mshana

Stephen E. Mshana is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Endocrinology, Infectious Diseases and Epidemiology, having authored 279 papers that have together received 5.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (65 papers), Antibiotic Use and Resistance (41 papers), Urinary Tract Infections Management (32 papers), Pneumonia and Respiratory Infections (25 papers), Bacterial Identification and Susceptibility Testing (21 papers), Pharmaceutical and Antibiotic Environmental Impacts (21 papers), Global Maternal and Child Health (18 papers) and Salmonella and Campylobacter epidemiology (15 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (1.1k citations), Molecular Medicine (1.8k citations), Endocrinology (732 citations), Clinical Biochemistry (487 citations) and Infectious Diseases (1.3k citations). Stephen E. Mshana has collaborated with scholars based in Tanzania, Germany and United Kingdom. Frequent co-authors include Mariam M. Mirambo, Mecky Matee, Can Imirzalioglu, Martha F. Mushi, Jeremiah Seni, Benson R. Kidenya, Nyambura Moremi, Trinad Chakraborty, Mark M. Rweyemamu and Erasmus Kamugisha. Their work appears in journals such as PLoS ONE, Antimicrobial Resistance and Infection Control, BMC Infectious Diseases, Antibiotics and Tropical Medicine and Infectious Disease.

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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