Tushar Shaw

537 citations
32 papers · 389 · h-index 11

Impact in

Papers in

    • Burkholderia infections and melioidosis 17
    • Fungal Infections and Studies 4
    • Antifungal resistance and susceptibility 4
    • SARS-CoV-2 and COVID-19 Research 2

Tushar Shaw

29 papers receiving 382 citations

Peers

Tushar Shaw
Comparison fields: 5 of 69
  • Microbiology 8
  • Epidemiology 295
  • Small Animals 41
  • General Dentistry 9
  • Infectious Diseases 78
Replace Alberto Ortíz-Pérez with:
Alberto Ortíz-Pérez Spain
Alireza Izadi Iran
Sugandhi Rao India
Ludmila Matos Baltazar Brazil
Rosângela Lameira Pinheiro Brazil
Diana Molina‐Manso Spain
Zeinab Mamouei United States
Brigitte Selitsch Austria
Myra D. Williams United States
Wencong He China
Tushar Shaw relative to Alberto Ortíz-Pérez Spain Alberto Ortíz-Pérez's profile →
Citations per field
00.5×3.1×
Alberto Ortíz-Pérez · 1×
Citations per year

Countries citing papers authored by Tushar Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Tushar Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201879
2 201439
3 201835
4 201830
5 201824
6 201720
7 201618
8 201918
9 202216
10 201814
11 202013
12 201710
13 201910
14 201810
15 20248
16 20167
17 20217
18 20227
19 20185
20 20204

About Tushar Shaw

Tushar Shaw is a scholar working on Epidemiology, Infectious Diseases, Biomedical Engineering, Small Animals and Surgery, having authored 32 papers that have together received 389 indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (17 papers), Chemical Looping and Thermochemical Processes (5 papers), Fungal Infections and Studies (4 papers), Antifungal resistance and susceptibility (4 papers), Brucella: diagnosis, epidemiology, treatment (4 papers), Bacterial Identification and Susceptibility Testing (2 papers), Antibiotic Resistance in Bacteria (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Microbiology (8 citations), Epidemiology (295 citations), Small Animals (41 citations), General Dentistry (9 citations) and Infectious Diseases (78 citations). Tushar Shaw has collaborated with scholars based in India, Sweden and Germany. Frequent co-authors include Chiranjay Mukhopadhyay, Chaitanya Tellapragada, David A. B. Dance, George M. Varghese, Vandana Kalwaje Eshwara, Rama Krishna Alla, Kishore Ginjupalli, Nagaraja P Upadhya, Asha Kamath and Subodh Kumar. Their work appears in journals such as PLoS neglected tropical diseases, PLoS ONE, Journal of Nephrology, Cornea 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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