A. Tanna

1.1k citations
23 papers · 891 · h-index 13

Impact in

Papers in

A. Tanna

23 papers receiving 857 citations

Peers

A. Tanna
Comparison fields: 5 of 70
  • Infectious Diseases 656
  • Public Health, Environmental and Occupational Health 744
  • Clinical Biochemistry 142
  • Microbiology 52
  • Epidemiology 225
Replace Sumalee Pruksakorn with:
Sumalee Pruksakorn Thailand
William Kabat United States
Luchang Zhu United States
Sarah Teatero Canada
Simona Recchia Italy
Nicola Horstmann United States
Manuel Rosa-Fraile Spain
Chihiro Katsukawa Japan
Rebecca J. Towers Australia
Dorien Van den Bossche Belgium
A. Tanna relative to Sumalee Pruksakorn Thailand Sumalee Pruksakorn's profile →
Citations per field
00.5×3.9×
Sumalee Pruksakorn · 1×
Citations per year

Countries citing papers authored by A. Tanna

Since Specialization
Citations

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

Fields of papers citing papers by A. Tanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009227
2 1993175
3 200095
4 199860
5 200253
6 200040
7 198536
8 199632
9 200128
10 200324
11 200618
12 198116
13 199814
14
Invasive M-type 3 Streptococcus pyogenes affecting a family and a residential home.
200110
15 19979
16 19879
17 20069
18 19988
19 20008
20 19977

About A. Tanna

A. Tanna is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Clinical Biochemistry and Small Animals, having authored 23 papers that have together received 891 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (20 papers), Antimicrobial Resistance in Staphylococcus (19 papers), Otolaryngology and Infectious Diseases (6 papers), Bacterial Identification and Susceptibility Testing (4 papers), Neonatal and Maternal Infections (4 papers), Infective Endocarditis Diagnosis and Management (3 papers), Rabies epidemiology and control (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Infectious Diseases (656 citations), Public Health, Environmental and Occupational Health (744 citations), Clinical Biochemistry (142 citations), Microbiology (52 citations) and Epidemiology (225 citations). A. Tanna has collaborated with scholars based in United Kingdom, Sweden and Nepal. Frequent co-authors include A Efstratiou, E. T. Gaworzewska, G. Colman, Androulla Efstratiou, Robert C. George, Claës Schalén, John R. Stanley, Meeta Desai, M. Barnham and Aftab Jasir. Their work appears in journals such as Journal of Medical Microbiology, Advances in experimental medicine and biology, Journal of Clinical Microbiology, Epidemiology and Infection and Journal of Clinical Pathology.

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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