Prerna Arora

2.9k citations
18 papers · 961 indexed · 1 hit paper · h-index 10
Topics
SARS-CoV-2 and COVID-19 Research (15 papers)COVID-19 Clinical Research Studies (10 papers)SARS-CoV-2 detection and testing (4 papers)
Partner nations
GermanyUnited States

In The Last Decade

Prerna Arora

18 papers receiving 956 citations

Hit Papers

SARS-CoV-2 variants B.1.351 and P.1 escape from neutraliz...20212026202220242021100200300400500

Peers

Prerna Arora
Comparison fields: 5 of 63
  • Infectious Diseases 879
  • Molecular Biology 208
  • Animal Science and Zoology 127
  • Immunology 92
  • Radiology, Nuclear Medicine and Imaging 88
Replace Prudence Kgagudi with:
Prudence Kgagudi South Africa
Veronica Ueckermann South Africa
Michael T. Boswell South Africa
Anna-Sophie Moldenhauer Germany
Frances Ayres South Africa
Claire Carlin United States
Cheila Rocha Germany
Alina Seidel Germany
Alexander S. Hahn Germany
Brent Oosthuysen South Africa
Prerna Arora relative to Prudence Kgagudi South Africa Prudence Kgagudi's profile →
Citations per field
00.5×1.5×2.2×
Prudence Kgagudi · 1×
Citations per year

Countries citing papers authored by Prerna Arora

Since Specialization
Citations

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

Fields of papers citing papers by Prerna Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prerna Arora

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 1
3 2
4 21
5 4
6 9
7 4
8 29
9 2
10 22
11 5
12 162
13 29
14 56
15
SARS-CoV-2 variants B.1.351 and P.1 escape from neutralizing antibodiesbreakdown →
563
16 19
17 8
18 24

About Prerna Arora

Prerna Arora is a scholar working on Infectious Diseases, Animal Science and Zoology and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 961 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (15 papers), COVID-19 Clinical Research Studies (10 papers) and SARS-CoV-2 detection and testing (4 papers). The work is most often cited by research in Infectious Diseases (879 citations), Animal Science and Zoology (127 citations) and Modeling and Simulation (57 citations). Prerna Arora has collaborated with scholars based in Germany and United States. Frequent co-authors include Stefan Pöhlmann, Markus Hoffmann, Amy Kempf, Luise Graichen, Hans‐Martin Jäck, Sebastian Schulz, Martin Sebastian Winkler, Nadine Krüger, Heike Hofmann-Winkler and Bojan F. Hörnich. Their work appears in journals such as Cell, Nature Communications and PLoS ONE.

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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