Raffaella Diotti

549 total citations
9 papers, 338 citations indexed

About

Raffaella Diotti is a scholar working on Molecular Biology, Physiology and Education. According to data from OpenAlex, Raffaella Diotti has authored 9 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Physiology and 2 papers in Education. Recurrent topics in Raffaella Diotti's work include DNA Repair Mechanisms (4 papers), Collaborative Teaching and Inclusion (2 papers) and Teacher Education and Leadership Studies (2 papers). Raffaella Diotti is often cited by papers focused on DNA Repair Mechanisms (4 papers), Collaborative Teaching and Inclusion (2 papers) and Teacher Education and Leadership Studies (2 papers). Raffaella Diotti collaborates with scholars based in United States and Germany. Raffaella Diotti's co-authors include Diego Loayza, Kanan Pujara, Sat Dev Batish, Arleen D. Auerbach, Orna Levran, Helmut Hanenberg, Leslie S. Keiler, Ann D. Carlson, Katherine Mah and Marianne Berwick and has published in prestigious journals such as Cancer Research, International Journal of Cancer and Human Mutation.

In The Last Decade

Raffaella Diotti

9 papers receiving 324 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Raffaella Diotti United States 7 227 112 82 45 38 9 338
Sumit Sandhu Canada 8 284 1.3× 102 0.9× 33 0.4× 36 0.8× 22 0.6× 11 349
Melissa A. Hayden United States 11 237 1.0× 25 0.2× 51 0.6× 25 0.6× 39 1.0× 17 527
Katja Kratz Switzerland 7 410 1.8× 78 0.7× 55 0.7× 84 1.9× 60 1.6× 8 460
Charlotte Hodson Australia 10 442 1.9× 104 0.9× 44 0.5× 57 1.3× 69 1.8× 10 474
Evert-Jan Uringa Netherlands 6 287 1.3× 96 0.9× 57 0.7× 38 0.8× 17 0.4× 8 379
Timo Quante United Kingdom 7 299 1.3× 48 0.4× 40 0.5× 49 1.1× 82 2.2× 8 405
Laure Lemmens Switzerland 5 292 1.3× 105 0.9× 22 0.3× 83 1.8× 41 1.1× 6 347
Joana Catarina Macedo Portugal 8 203 0.9× 52 0.5× 55 0.7× 59 1.3× 30 0.8× 11 316
Sophie Badie United Kingdom 8 534 2.4× 137 1.2× 61 0.7× 53 1.2× 132 3.5× 8 577
Yi Gong United States 9 453 2.0× 176 1.6× 42 0.5× 30 0.7× 160 4.2× 16 539

Countries citing papers authored by Raffaella Diotti

Since Specialization
Citations

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

Fields of papers citing papers by Raffaella Diotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raffaella Diotti

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

All Works

9 of 9 papers shown
1.
Croonquist, Paula, Raffaella Diotti, Anthony D. Aragon, et al.. (2023). The Genomics Education Partnership: First Findings on Genomics Research in Community Colleges. PubMed. 6(3). 17–28. 5 indexed citations
2.
Diotti, Raffaella, et al.. (2021). Telomeric and Sub-Telomeric Structure and Implications in Fungal Opportunistic Pathogens. Microorganisms. 9(7). 1405–1405. 6 indexed citations
3.
Keiler, Leslie S., et al.. (2020). Supporting teachers as they support each other:Lessons concerning mentor teacher feedback to teacher mentees. Professional Development in Education. 49(2). 225–242. 11 indexed citations
4.
Keiler, Leslie S., et al.. (2020). The role of feedback in teacher mentoring: how coaches, peers, and students affect teacher change. Mentoring & Tutoring Partnership in Learning. 28(2). 126–155. 17 indexed citations
5.
Diotti, Raffaella, et al.. (2014). DNA-Directed Polymerase Subunits Play a Vital Role in Human Telomeric Overhang Processing. Molecular Cancer Research. 13(3). 402–410. 10 indexed citations
6.
Diotti, Raffaella & Diego Loayza. (2011). Shelterin complex and associated factors at human telomeres. Nucleus. 2(2). 119–135. 127 indexed citations
7.
Berwick, Marianne, Jaya M. Satagopan, Leah Ben‐Porat, et al.. (2007). Genetic Heterogeneity among Fanconi Anemia Heterozygotes and Risk of Cancer. Cancer Research. 67(19). 9591–9596. 77 indexed citations
8.
Diotti, Raffaella, Ronald E. Gordon, Rui Fang Qiao, et al.. (2005). Effects on proliferation and melanogenesis by inhibition of mutant BRAF and expression of wild‐type INK4A in melanoma cells. International Journal of Cancer. 115(1). 164–169. 19 indexed citations
9.
Levran, Orna, Raffaella Diotti, Kanan Pujara, et al.. (2005). Spectrum of sequence variations in the FANCA gene: An International Fanconi Anemia Registry (IFAR) study. Human Mutation. 25(2). 142–149. 66 indexed citations

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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