Purnima Parthasarathy

793 citations
4 papers · 19 indexed · h-index 3
Topics
SARS-CoV-2 and COVID-19 Research (2 papers)Clinical practice guidelines implementation (1 paper)Diphtheria, Corynebacterium, and Tetanus (1 paper)
Partner nations
Singapore

In The Last Decade

Purnima Parthasarathy

4 papers receiving 19 citations

Peers

Purnima Parthasarathy
Comparison fields: 5 of 21
  • Infectious Diseases 9
  • Neurology 7
  • Endocrinology 5
  • Surgery 4
  • Public Health, Environmental and Occupational Health 3
Replace M. M. Aktaruzzaman with:
M. M. Aktaruzzaman Bangladesh
Roni Meidan Israel
Lulwah Alabdan Saudi Arabia
Barbara Wanjiru Citarella United Kingdom
Ahmed Shafie United Arab Emirates
Michael Städt Germany
Amel Ouyahia Algeria
Lekh Jung Thapa Nepal
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Julie Hollberg United States
Purnima Parthasarathy relative to M. M. Aktaruzzaman Bangladesh M. M. Aktaruzzaman's profile →
Citations per field
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M. M. Aktaruzzaman · 1×
Citations per year

Countries citing papers authored by Purnima Parthasarathy

Since Specialization
Citations

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

Fields of papers citing papers by Purnima Parthasarathy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Purnima Parthasarathy

This figure shows the co-authorship network connecting the top 25 collaborators of Purnima Parthasarathy. A scholar is included among the top collaborators of Purnima Parthasarathy 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 Purnima Parthasarathy. Purnima Parthasarathy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
#WorkIndexed citations
1 6
2 2
3 5
4 6

About Purnima Parthasarathy

Purnima Parthasarathy is a scholar working on Endocrinology, Small Animals and Infectious Diseases, having authored 4 papers that have together received 19 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (2 papers), Clinical practice guidelines implementation (1 paper) and Diphtheria, Corynebacterium, and Tetanus (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (3 citations), Endocrinology (5 citations) and Infectious Diseases (9 citations). Purnima Parthasarathy has collaborated with scholars based in Singapore. Frequent co-authors include Yi Lin, Serena Low, Vernon Lee, Terence Tang, Michelle Ang, T. Tan, Ka Lip Chew, Rama Narayana Deepak, Shawn Vasoo and Say Tat Ooi. Their work appears in journals such as Emerging infectious diseases, Open Forum Infectious Diseases and Annals of the Academy of Medicine Singapore.

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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