Violeta Niborski

17 total papers · 416 total citations
8 papers, 341 citations indexed

About

Violeta Niborski is a scholar working on Immunology, Infectious Diseases and Pharmacy. According to data from OpenAlex, Violeta Niborski has authored 8 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Infectious Diseases and 2 papers in Pharmacy. Recurrent topics in Violeta Niborski's work include Immunotherapy and Immune Responses (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Escherichia coli research studies (2 papers). Violeta Niborski is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Escherichia coli research studies (2 papers). Violeta Niborski collaborates with scholars based in France, United Kingdom and United States. Violeta Niborski's co-authors include Bernard Charley, Sabine Riffault, M. Bonneau, Ali Fokar, F. Tondu, Bárbara Davis, Daniel Merenstein, Nawar Shara, Mary Ellen Sanders and Isabelle Schwartz‐Cornil and has published in prestigious journals such as The Journal of Immunology, Journal of Leukocyte Biology and Vaccine.

In The Last Decade

Violeta Niborski

8 papers receiving 327 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Violeta Niborski 113 111 93 90 41 8 341
Yukiharu Kikuchi 135 1.2× 156 1.4× 139 1.5× 41 0.5× 4 0.1× 11 349
C C Harmon 70 0.6× 114 1.0× 91 1.0× 43 0.5× 4 0.1× 9 396
Charlotte Leclaire 102 0.9× 29 0.3× 198 2.1× 52 0.6× 21 0.5× 8 322
Toyohiro Tanida 35 0.3× 38 0.3× 92 1.0× 112 1.2× 6 0.1× 9 359
Juan C. Ossa 118 1.0× 38 0.3× 187 2.0× 94 1.0× 12 0.3× 12 368
Patricia Clua 108 1.0× 71 0.6× 125 1.3× 85 0.9× 3 0.1× 8 315
Magalie Longo 39 0.3× 43 0.4× 124 1.3× 78 0.9× 9 0.2× 11 364
Nívia Cárdenas 136 1.2× 20 0.2× 163 1.8× 19 0.2× 19 0.5× 12 391
Peter Rigaux 84 0.7× 54 0.5× 81 0.9× 124 1.4× 7 0.2× 8 349
S. Bhargava Periwal 42 0.4× 135 1.2× 117 1.3× 82 0.9× 5 0.1× 8 338

Countries citing papers authored by Violeta Niborski

Since Specialization
Citations

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

Fields of papers citing papers by Violeta Niborski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Violeta Niborski

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

All Works

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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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