Audino Podda

5.3k total citations
71 papers, 4.0k citations indexed

About

Audino Podda is a scholar working on Epidemiology, Infectious Diseases and Microbiology. According to data from OpenAlex, Audino Podda has authored 71 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Epidemiology, 25 papers in Infectious Diseases and 25 papers in Microbiology. Recurrent topics in Audino Podda's work include Influenza Virus Research Studies (29 papers), Bacterial Infections and Vaccines (25 papers) and Viral gastroenteritis research and epidemiology (17 papers). Audino Podda is often cited by papers focused on Influenza Virus Research Studies (29 papers), Bacterial Infections and Vaccines (25 papers) and Viral gastroenteritis research and epidemiology (17 papers). Audino Podda collaborates with scholars based in Italy, United Kingdom and United States. Audino Podda's co-authors include Maria Zambon, Karl G. Nicholson, Iain Stephenson, Giuseppe Del Giudice, John Wood, Roberto Bugarini, Rino Rappuoli, Ellen Ypma, Angelika Banzhoff and L Nencioni and has published in prestigious journals such as The Lancet, The Journal of Experimental Medicine and PLoS ONE.

In The Last Decade

Audino Podda

71 papers receiving 3.8k citations

Peers

Audino Podda
Comparison fields: 5 of 111
  • Epidemiology 2.6k
  • Immunology 1.4k
  • Infectious Diseases 1.3k
  • Molecular Biology 702
  • Microbiology 609
Replace Brør Morein with:
Brør Morein Sweden
George Mutwiri Canada
Michael J. Corbel United Kingdom
Srilatha Edupuganti United States
Pamela A. Kozlowski United States
Anke Huckriede Netherlands
Nathalie Garçon Belgium
Louis Fries United States
F. Schödel United States
Sylvie Bertholet United States
Brør Morein Sweden View profile →
Citations per field, relative to Audino Podda
Audino Podda · 1×
Citations per year, relative to Audino Podda
Audino Podda · 1×

Countries citing papers authored by Audino Podda

Since Specialization
Citations

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

Fields of papers citing papers by Audino Podda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Audino Podda

This figure shows the co-authorship network connecting the top 25 collaborators of Audino Podda. A scholar is included among the top collaborators of Audino Podda 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 Audino Podda. Audino Podda 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 1
2 13
3 49
4 24
5 70
6 29
7 62
8 59
9 18
10 72
11 104
12 163
13 359
14 46
15 135
16 30
17 21
18
Semisynthetic vaccines against bacterial meningitis
8
19 1
20 65

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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