Sweta Patel

1.2k citations
29 papers · 973 · h-index 14

Impact in

Papers in

    • Fungal Infections and Studies 8
    • Pneumonia and Respiratory Infections 5
    • Respiratory viral infections research 3
    • Influenza Virus Research Studies 2

Sweta Patel

25 papers receiving 964 citations

Peers

Sweta Patel
Comparison fields: 5 of 79
  • Endocrinology 168
  • Infectious Diseases 345
  • Epidemiology 515
  • Cell Biology 158
  • Neurology 75
Replace Andreea C. Cazacu with:
Andreea C. Cazacu United States
Eva Grüner Switzerland
Jos Van Acker Belgium
Gautier Hoarau France
Donna Jane Hata United States
Deisy A. Contreras United States
U. Banerjee India
Anna Lutyńska Poland
Nilgün Çerikçioğlu Türkiye
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Citations per field
00.5×2×4×6.8×
Andreea C. Cazacu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sweta Patel, 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 Sweta Patel Line = papers co-authored together Sweta Patel 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 2007118
2 2009101
3 201699
4 201084
5 201784
6 201572
7 201269
8 200867
9 201563
10 201245
11
Diploids in the Cryptococcus neoformans serotype A populations homozygous for the alpha mating type originate via unisexual mating.
200937
12 201137
13 202125
14 201914
15 202011
16 20198
17 20228
18
Mixed infections and in vivo evolution in the human fungal pathogen Cryptococcus neoformans.
20107
19 20126
20 20186

About Sweta Patel

Sweta Patel is a scholar working on Epidemiology, Infectious Diseases, Endocrinology, Internal Medicine and Emergency Medicine, having authored 29 papers that have together received 973 indexed citations. Recurring topics across this work include Fungal Infections and Studies (8 papers), Pneumonia and Respiratory Infections (5 papers), Plant Disease Resistance and Genetics (4 papers), Vibrio bacteria research studies (4 papers), Respiratory viral infections research (3 papers), Escherichia coli research studies (3 papers), Influenza Virus Research Studies (2 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). The work is most often cited by research in Endocrinology (168 citations), Infectious Diseases (345 citations), Epidemiology (515 citations), Cell Biology (158 citations) and Neurology (75 citations). Sweta Patel has collaborated with scholars based in United States, Botswana and Bangladesh. Frequent co-authors include Joseph Heitman, Xiaorong Lin, Kirsten Nielsen, Anna Floyd, Thomas G. Mitchell, Anastasia P. Litvintseva, Firdausi Qadri, Fahima Chowdhury, Marie Desnos‐Ollivier and Caroline M. Charlier. Their work appears in journals such as Clinical and Vaccine Immunology, PLoS ONE, mBio, The Pediatric Infectious Disease Journal and Currents in Pharmacy Teaching and Learning.

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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