Ashutosh Panda

468 citations
29 papers · 318 · h-index 10

Impact in

Papers in

Ashutosh Panda

26 papers receiving 315 citations

Peers

Ashutosh Panda
Comparison fields: 5 of 74
  • Endocrinology 48
  • Clinical Biochemistry 53
  • Parasitology 44
  • Infectious Diseases 95
  • Molecular Medicine 13
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R Bagyalakshmi India
Brenda Murphy Ireland
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Solomon A. Mekonnen Germany
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Citations per field
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Citations per year

Countries citing papers authored by Ashutosh Panda

Since Specialization
Citations

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

Fields of papers citing papers by Ashutosh Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201462
2 201535
3
MALDI-TOF mass spectrometry proteomic based identification of clinical bacterial isolates.
201430
4 201720
5 201520
6 201819
7 201316
8 201714
9 201811
10 201810
11 20189
12 20209
13 20228
14
Cryptosporidium species subtypes and associated clinical manifestations in Indian patients.
20178
15 20196
16 20176
17 20236
18 20226
19 20155
20
Acute proptosis in myeloid leukaemia.
19874

About Ashutosh Panda

Ashutosh Panda is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Immunology and Parasitology, having authored 29 papers that have together received 318 indexed citations. Recurring topics across this work include Malaria Research and Control (8 papers), Parasitic Infections and Diagnostics (5 papers), Mosquito-borne diseases and control (5 papers), Amoebic Infections and Treatments (4 papers), Tuberculosis Research and Epidemiology (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Pneumonia and Respiratory Infections (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Endocrinology (48 citations), Clinical Biochemistry (53 citations), Parasitology (44 citations), Infectious Diseases (95 citations) and Molecular Medicine (13 citations). Ashutosh Panda has collaborated with scholars based in India, Denmark and Netherlands. Frequent co-authors include Bijay Ranjan Mirdha, J. C. Samantaray, Alagiri Srinivasan, Neha Rastogi, Samander Kaushik, Asif Mohmmed, Anup Ghosh, Pawan Malhotra, Saikat Paul and Immaculata Xess. Their work appears in journals such as Infection and Immunity, Biochemical Journal, Epidemiology and Infection, Journal of Medicinal Chemistry and Experimental Parasitology.

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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