Pritika Ramharack

716 total citations
39 papers, 537 citations indexed

About

Pritika Ramharack is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Pritika Ramharack has authored 39 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Infectious Diseases and 11 papers in Computational Theory and Mathematics. Recurrent topics in Pritika Ramharack's work include Computational Drug Discovery Methods (11 papers), Mosquito-borne diseases and control (10 papers) and SARS-CoV-2 detection and testing (6 papers). Pritika Ramharack is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Mosquito-borne diseases and control (10 papers) and SARS-CoV-2 detection and testing (6 papers). Pritika Ramharack collaborates with scholars based in South Africa, United States and France. Pritika Ramharack's co-authors include Mahmoud E. S. Soliman, Clement Agoni, Fisayo A. Olotu, Michelle Gordon, Manimbulu Nlooto, Renée Street, Glenda Gray, Shahzeb Khan, Marcel de Matas and Jyoti Sharma and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Pritika Ramharack

36 papers receiving 532 citations

Peers

Pritika Ramharack
Comparison fields: 5 of 91
  • Molecular Biology 224
  • Infectious Diseases 149
  • Computational Theory and Mathematics 123
  • Public Health, Environmental and Occupational Health 90
  • Epidemiology 63
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Citations per field, relative to Pritika Ramharack
Pritika Ramharack · 1×
Citations per year, relative to Pritika Ramharack
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Countries citing papers authored by Pritika Ramharack

Since Specialization
Citations

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

Fields of papers citing papers by Pritika Ramharack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pritika Ramharack

This figure shows the co-authorship network connecting the top 25 collaborators of Pritika Ramharack. A scholar is included among the top collaborators of Pritika Ramharack based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pritika Ramharack. Pritika Ramharack is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 5
5 7
6 3
7 4
8 29
9 18
10 4
11 71
12 11
13 43
14 10
15 12
16 9
17 8
18 34
19 57
20
Zika Virus NS5 Protein Potential Inhibitors: An Enhanced in silico Approach in Drug Discovery
7

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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