Sevitha Bhat

25 papers receiving 241 citations

Peers

Sevitha Bhat
Comparison fields: 5 of 59
  • Molecular Medicine 58
  • Applied Microbiology and Biotechnology 15
  • Microbiology 31
  • Endocrinology 26
  • Clinical Biochemistry 32
Replace Dimitra Stafylaki with:
Dimitra Stafylaki Greece
T. Fosse France
Dàmaris Berbel Spain
Antonia M.O. Machado Brazil
Puja Neopane Japan
Elahe Taki Iran
Inneke M. van der Heijden Brazil
Jun-Hee Woo South Korea
Daniela Maria Geraci Italy
Dung Thi Khanh Khu Vietnam
Sevitha Bhat relative to Dimitra Stafylaki Greece Dimitra Stafylaki's profile →
Citations per field
00.5×3.3×
Dimitra Stafylaki · 1×
Citations per year

Countries citing papers authored by Sevitha Bhat

Since Specialization
Citations

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

Fields of papers citing papers by Sevitha Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Sevitha Bhat, 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 Sevitha Bhat Line = papers co-authored together Sevitha Bhat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202147
2 201841
3 201041
4 201926
5 202216
6 201714
7 201514
8 20186
9 20165
10 20225
11 20184
12 20124
13
Clinico-microbiological study of neonatal sepsis
20154
14 20163
15 20223
16 20103
17 20233
18 20222
19 20142
20
Evaluation of semiquantitative culture method in the diagnosis of central venous intravascular catheter related infections
20132

About Sevitha Bhat

Sevitha Bhat is a scholar working on Epidemiology, Molecular Medicine, Public Health, Environmental and Occupational Health, Infectious Diseases and Microbiology, having authored 26 papers that have together received 251 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Neonatal and Maternal Infections (4 papers), Urinary Tract Infections Management (3 papers), Streptococcal Infections and Treatments (2 papers), Antifungal resistance and susceptibility (2 papers), Vibrio bacteria research studies (2 papers), Fungal Infections and Studies (2 papers) and Microbial infections and disease research (2 papers). The work is most often cited by research in Molecular Medicine (58 citations), Applied Microbiology and Biotechnology (15 citations), Microbiology (31 citations), Endocrinology (26 citations) and Clinical Biochemistry (32 citations). Sevitha Bhat has collaborated with scholars based in India. Frequent co-authors include Pooja Rao, Shalini Shenoy, K Vidyalakshmi, Ayush Singh, Deepak Madi, B. Dhanashree, Nitin Joseph, Renu Sharma, Ravikiran Ongole and Srikant Natarajan. Their work appears in journals such as Infection and Drug Resistance, WOUNDS A Compendium of Clinical Research and Practice, Journal of Environmental and Public Health, International Journal of Microbiology and Indian Journal of Medical 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.

Explore authors with similar magnitude of impact