Nelly Ninis

2.1k total citations
29 papers, 1.3k citations indexed

About

Nelly Ninis is a scholar working on Epidemiology, Microbiology and Surgery. According to data from OpenAlex, Nelly Ninis has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 15 papers in Microbiology and 6 papers in Surgery. Recurrent topics in Nelly Ninis's work include Bacterial Infections and Vaccines (15 papers), Pneumonia and Respiratory Infections (12 papers) and Connective tissue disorders research (6 papers). Nelly Ninis is often cited by papers focused on Bacterial Infections and Vaccines (15 papers), Pneumonia and Respiratory Infections (12 papers) and Connective tissue disorders research (6 papers). Nelly Ninis collaborates with scholars based in United Kingdom, United States and Belgium. Nelly Ninis's co-authors include Michael Levin, Simon Nadel, Linda Bailey, Claire Phillips, Rafael Perera, Anthony Harnden, David Mant, Matthew Thompson, Richard Mayon‐White and David Inwald and has published in prestigious journals such as The Lancet, JAMA and SHILAP Revista de lepidopterología.

In The Last Decade

Nelly Ninis

29 papers receiving 1.3k citations

Peers

Nelly Ninis
Comparison fields: 5 of 92
  • Epidemiology 838
  • Microbiology 510
  • Public Health, Environmental and Occupational Health 243
  • Emergency Medicine 231
  • Surgery 212
Replace Juan Casado‐Flores with:
Juan Casado‐Flores Spain
Alain Viallon France
Edward R. Carter United States
Bema K. Bonsu United States
Alan Smith United States
Andrew Smith United States
Andrew Riordan United Kingdom
Mika Paldanius Finland
Jonathan E. Bennett United States
Linda Bailey Australia
Juan Casado‐Flores Spain View profile →
Citations per field, relative to Nelly Ninis
Nelly Ninis · 1×
Citations per year, relative to Nelly Ninis
Nelly Ninis · 1×

Countries citing papers authored by Nelly Ninis

Since Specialization
Citations

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

Fields of papers citing papers by Nelly Ninis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nelly Ninis

This figure shows the co-authorship network connecting the top 25 collaborators of Nelly Ninis. A scholar is included among the top collaborators of Nelly Ninis 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 Nelly Ninis. Nelly Ninis 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 2
2 1
3 2
4 47
5 52
6 9
7 2
8 14
9 92
10 35
11 24
12 69
13 20
14 6
15 31
16 9
17 341
18 1
19 35
20 111

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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