Ashima Bhaskar

1.4k citations
44 papers · 1.1k · h-index 20

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 28
    • Mycobacterium research and diagnosis 12
    • Pneumocystis jirovecii pneumonia detection and treatment 3

Ashima Bhaskar

41 papers receiving 1.0k citations

Peers

Ashima Bhaskar
Comparison fields: 5 of 88
  • Infectious Diseases 496
  • Molecular Medicine 130
  • Epidemiology 353
  • Pharmacology 78
  • Molecular Biology 453
Replace Ved Prakash Dwivedi with:
Ved Prakash Dwivedi India
Bridgette M. Cumming South Africa
Che C. Colpitts Canada
Kunihiko Fukuchi Japan
John Adamson South Africa
Antônio Ferreira‐Pereira Brazil
Ashwani Kumar India
Raymond H. See Canada
Syed Aun Muhammad Pakistan
Jin Su Song South Korea
Ashima Bhaskar relative to Ved Prakash Dwivedi India Ved Prakash Dwivedi's profile →
Citations per field
00.5×1.5×1.8×
Ved Prakash Dwivedi · 1×
Citations per year

Countries citing papers authored by Ashima Bhaskar

Since Specialization
Citations

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

Fields of papers citing papers by Ashima Bhaskar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014159
2 201786
3 201572
4 201858
5 202055
6 201453
7 202052
8 201748
9 202139
10 201136
11 201935
12 201535
13 201832
14 201127
15 201826
16 201725
17 201125
18 202122
19 202220
20 202319

About Ashima Bhaskar

Ashima Bhaskar is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Immunology and Molecular Medicine, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (28 papers), Mycobacterium research and diagnosis (12 papers), Antibiotic Resistance in Bacteria (7 papers), Immune responses and vaccinations (6 papers), Immune cells in cancer (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Computational Drug Discovery Methods (3 papers) and Pneumocystis jirovecii pneumonia detection and treatment (3 papers). The work is most often cited by research in Infectious Diseases (496 citations), Molecular Medicine (130 citations), Epidemiology (353 citations), Pharmacology (78 citations) and Molecular Biology (453 citations). Ashima Bhaskar has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include Amit Singh, Ved Prakash Dwivedi, Dhiraj Kumar, Santosh Kumar, Pallavi Chandra, Kate S. Carroll, Samreen Fatima, Vinay Kumar Nandicoori, Pankti Parikh and Mansi Mehta. Their work appears in journals such as Frontiers in Immunology, Journal of Biological Chemistry, Microbiology Spectrum, PLoS Pathogens and eLife.

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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