Sweta Patel

1.2k total citations
24 papers, 778 citations indexed

About

Sweta Patel is a scholar working on Epidemiology, Infectious Diseases and Endocrinology. According to data from OpenAlex, Sweta Patel has authored 24 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 6 papers in Infectious Diseases and 4 papers in Endocrinology. Recurrent topics in Sweta Patel's work include Fungal Infections and Studies (7 papers), Respiratory viral infections research (5 papers) and Pneumonia and Respiratory Infections (4 papers). Sweta Patel is often cited by papers focused on Fungal Infections and Studies (7 papers), Respiratory viral infections research (5 papers) and Pneumonia and Respiratory Infections (4 papers). Sweta Patel collaborates with scholars based in United States, Botswana and Bangladesh. Sweta Patel's co-authors include Xiaorong Lin, Joseph Heitman, Kirsten Nielsen, Thomas G. Mitchell, Anastasia P. Litvintseva, Anna Floyd, Firdausi Qadri, Fahima Chowdhury, Dea Garcia‐Hermoso and Caroline Charlier and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Annals of Neurology.

In The Last Decade

Sweta Patel

22 papers receiving 772 citations

Peers

Sweta Patel
Comparison fields: 5 of 77
  • Epidemiology 452
  • Infectious Diseases 299
  • Molecular Biology 161
  • Endocrinology 141
  • Plant Science 133
Replace Damien Dupont with:
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Vimala Venkatesh India
Deisy Contreras United States
Abdoulaye Seck Senegal
Franck Berger France
Iker Falces‐Romero Spain
Eva Grüner Switzerland
Jennifer Rossouw South Africa
Camila Figueiredo Pinzan Brazil
Damien Dupont France View profile →
Citations per field, relative to Sweta Patel
Sweta Patel · 1×
Citations per year, relative to Sweta Patel
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Countries citing papers authored by Sweta Patel

Since Specialization
Citations

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

Fields of papers citing papers by Sweta Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sweta Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Sweta Patel. A scholar is included among the top collaborators of Sweta Patel 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 Sweta Patel. Sweta Patel 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 2
3 1
4 6
5 9
6 7
7 6
8 4
9 73
10 70
11 0
12 37
13 4
14 30
15 77
16
Mixed infections and in vivo evolution in the human fungal pathogen Cryptococcus neoformans.
8
17 89
18
Diploids in the Cryptococcus neoformans serotype A populations homozygous for the alpha mating type originate via unisexual mating.
36
19
1 Impact of Mating Type, Serotype, and Ploidy on Virulence of Cryptococcus 2 neoformans 3 Running Title: Virulence potential of C. neoformans AD hybrids 4 5
1
20 105

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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