Martin Paparella

1.4k total citations
34 papers, 738 citations indexed

About

Martin Paparella is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Cancer Research. According to data from OpenAlex, Martin Paparella has authored 34 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Health, Toxicology and Mutagenesis and 9 papers in Cancer Research. Recurrent topics in Martin Paparella's work include Carcinogens and Genotoxicity Assessment (9 papers), Pluripotent Stem Cells Research (8 papers) and Effects and risks of endocrine disrupting chemicals (6 papers). Martin Paparella is often cited by papers focused on Carcinogens and Genotoxicity Assessment (9 papers), Pluripotent Stem Cells Research (8 papers) and Effects and risks of endocrine disrupting chemicals (6 papers). Martin Paparella collaborates with scholars based in Italy, Austria and United Kingdom. Martin Paparella's co-authors include Susanne Bremer, Cristian Pellizzer, Sarah Adler, Thomas Härtung, Susanne Hougaard Bennekou, Anna Bal‐Price, J. Hescheler, J. A. Southee, Bernd K. Fleischmann and Ingeborg Pohl and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Carcinogenesis.

In The Last Decade

Martin Paparella

31 papers receiving 700 citations

Peers

Martin Paparella
Comparison fields: 5 of 104
  • Molecular Biology 329
  • Health, Toxicology and Mutagenesis 231
  • Small Animals 150
  • Cancer Research 138
  • Biomedical Engineering 138
Cristian Pellizzer Italy
Klaus M. Becker Portugal
Karen Augustine‐Rauch United States
Andrea Terron Italy
Dorien A.M. van Dartel Netherlands
Ram Ramabhadran United States
Alan Poole United Kingdom
Catherine W. McCollum United States
Tarja Toimela Finland
Donatella Carpi Italy
Cristian Pellizzer Italy View profile →
Citations per field, relative to Martin Paparella
Martin Paparella · 1×
Citations per year, relative to Martin Paparella
Martin Paparella · 1×

Countries citing papers authored by Martin Paparella

Since Specialization
Citations

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

Fields of papers citing papers by Martin Paparella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Paparella

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Paparella. A scholar is included among the top collaborators of Martin Paparella 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 Martin Paparella. Martin Paparella 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 5
2 3
3 0
4 0
5 5
6 2
7 8
8 5
9 12
10 10
11 29
12 54
13 81
14 37
15 31
16 93
17 27
18 53
19 101
20 3

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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