Katia Pane
Impact in
- Microbiology top 1%
- Antimicrobial Peptides and Activities
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- Biochemical and Structural Characterization
- Protein Hydrolysis and Bioactive Peptides
- Chemical Synthesis and Analysis
- RNA modifications and cancer
Papers in
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- Biochemical and Structural Characterization 8
- Gene expression and cancer classification 3
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- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 4
- Cancer Genomics and Diagnostics 3
- Co-authors
- Monica Franzese (27 shared papers)Marco Salvatore (16 shared papers)Eugenio Notomista (10 shared papers)Elio Pizzo (9 shared papers)Valeria Cafaro (7 shared papers)Alberto Di Donato (6 shared papers)Mario Zanfardino (6 shared papers)Anna Zanfardino (5 shared papers)
In The Last Decade
Katia Pane
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 108
- Microbiology 399
- Molecular Biology 626
- Cancer Research 119
- Health Informatics 9
- Radiology, Nuclear Medicine and Imaging 138
Countries citing papers authored by Katia Pane
This map shows the geographic impact of Katia Pane'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 Katia Pane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katia Pane more than expected).
Fields of papers citing papers by Katia Pane
This network shows the impact of papers produced by Katia Pane. 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 Katia Pane. The network helps show where Katia Pane may publish in the future.
Co-authors
The 25 scholars most cited alongside Katia Pane, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 105 | |
| 2 | 2017 | 101 | |
| 3 | 2018 | 93 | |
| 4 | 2019 | 71 | |
| 5 | 2019 | 70 | |
| 6 | 2017 | 65 | |
| 7 | 2018 | 65 | |
| 8 | 2019 | 59 | |
| 9 | 2016 | 55 | |
| 10 | 2016 | 45 | |
| 11 | 2020 | 42 | |
| 12 | 2019 | 35 | |
| 13 | 2022 | 33 | |
| 14 | 2018 | 30 | |
| 15 | 2019 | 27 | |
| 16 | 2020 | 23 | |
| 17 | 2019 | 21 | |
| 18 | 2019 | 20 | |
| 19 | 2019 | 20 | |
| 20 | 2018 | 19 |
About Katia Pane
Katia Pane is a scholar working on Molecular Biology, Cancer Research, Microbiology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (10 papers), Biochemical and Structural Characterization (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), MicroRNA in disease regulation (5 papers), Immune Response and Inflammation (4 papers), Cancer-related molecular mechanisms research (4 papers), Cancer Genomics and Diagnostics (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Microbiology (399 citations), Molecular Biology (626 citations), Cancer Research (119 citations), Health Informatics (9 citations) and Radiology, Nuclear Medicine and Imaging (138 citations). Katia Pane has collaborated with scholars based in Italy, Czechia and Canada. Frequent co-authors include Monica Franzese, Marco Salvatore, Eugenio Notomista, Elio Pizzo, Valeria Cafaro, Alberto Di Donato, Mario Zanfardino, Anna Zanfardino, Mario Varcamonti and Peppino Mirabelli. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences, Cancers, Biomedicines and Life.
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.