Fabio Oldoni

751 total citations
21 papers, 542 citations indexed

About

Fabio Oldoni is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Fabio Oldoni has authored 21 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 17 papers in Molecular Biology and 3 papers in Ecology. Recurrent topics in Fabio Oldoni's work include Molecular Biology Techniques and Applications (17 papers), Forensic and Genetic Research (17 papers) and Genetic Associations and Epidemiology (5 papers). Fabio Oldoni is often cited by papers focused on Molecular Biology Techniques and Applications (17 papers), Forensic and Genetic Research (17 papers) and Genetic Associations and Epidemiology (5 papers). Fabio Oldoni collaborates with scholars based in United States, Switzerland and Spain. Fabio Oldoni's co-authors include Daniele Podini, Kenneth K. Kídd, Diana Hall, Vincent Castella, Sharon Wootton, Robert Lagacé, Joseph Chang, Ryo Hasegawa, F. Grosjean and Megan M. Foley and has published in prestigious journals such as Journal of Forensic Sciences, Forensic Science International Genetics and International Journal of Legal Medicine.

In The Last Decade

Fabio Oldoni

19 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabio Oldoni United States 12 455 363 96 20 20 21 542
Cassandra Calloway United States 14 298 0.7× 368 1.0× 75 0.8× 22 1.1× 58 2.9× 21 485
Jennifer A. McElhoe United States 10 299 0.7× 407 1.1× 104 1.1× 26 1.3× 19 0.9× 18 488
Rixun Fang United States 10 615 1.4× 469 1.3× 119 1.2× 13 0.7× 44 2.2× 15 747
A. Krätzer Switzerland 10 376 0.8× 455 1.3× 102 1.1× 7 0.3× 19 0.9× 25 569
M. Schürenkamp Germany 13 312 0.7× 269 0.7× 24 0.3× 13 0.7× 24 1.2× 23 398
Sharon Wootton United States 17 866 1.9× 765 2.1× 193 2.0× 22 1.1× 53 2.6× 20 1.0k
V. Johnsson Finland 9 353 0.8× 282 0.8× 59 0.6× 16 0.8× 10 0.5× 11 429
E. Musgrave-Brown United Kingdom 5 364 0.8× 344 0.9× 70 0.7× 10 0.5× 14 0.7× 8 467
C. Harrison United Kingdom 5 374 0.8× 347 1.0× 70 0.7× 12 0.6× 14 0.7× 10 478
Magdalena Bogus Germany 3 348 0.8× 305 0.8× 57 0.6× 9 0.5× 19 0.9× 4 448

Countries citing papers authored by Fabio Oldoni

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Oldoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Oldoni

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Oldoni. A scholar is included among the top collaborators of Fabio Oldoni 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 Fabio Oldoni. Fabio Oldoni 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
1.
Podini, Daniele, Daniel Standage, M. de la Puente, et al.. (2026). Defining key criteria for microhaplotype locus selection in forensic genetics: Progress and recommendations by the Microhaplotype Working Group. Forensic Science International Genetics. 83. 103421–103421.
2.
Foley, Megan M., et al.. (2025). Comprehensive investigation of the Applied Biosystems™ SeqStudio™ Genetic Analyzer platform for forensic DNA typing. International Journal of Legal Medicine. 139(5). 2077–2086.
3.
Oldoni, Fabio, et al.. (2025). Massively parallel sequencing of 74 microhaplotypes for relationship testing in U.S. populations. Forensic Science International Genetics. 81. 103386–103386. 1 indexed citations
4.
Prinz, Mechthild, et al.. (2024). Global survey on evaluative reporting on DNA evidence with regard to activity‐level propositions. Journal of Forensic Sciences. 69(3). 798–813. 2 indexed citations
5.
Foley, Megan M. & Fabio Oldoni. (2022). A global snapshot of current opinions of next-generation sequencing technologies usage in forensics. Forensic Science International Genetics. 63. 102819–102819. 11 indexed citations
6.
Oldoni, Fabio, et al.. (2022). Investigation of 74 microhaplotypes for kinship testing in US populations. Forensic science international. Genetics supplement series. 8. 40–41. 4 indexed citations
7.
Yang, Yoon Jung, et al.. (2022). American forensicDNApractitioners' opinion on activity level evaluative reporting. Journal of Forensic Sciences. 67(4). 1357–1369. 8 indexed citations
8.
Lewis, Elaine J., et al.. (2021). Retrofitting massively parallel sequencing (MPS) for HLA-DQA1 and polymarker (PM) in forensic casework. International Journal of Legal Medicine. 136(1). 93–101. 2 indexed citations
9.
Oldoni, Fabio, et al.. (2020). A sequence-based 74plex microhaplotype assay for analysis of forensic DNA mixtures. Forensic Science International Genetics. 49. 102367–102367. 58 indexed citations
10.
Oldoni, Fabio, et al.. (2020). Population genetic data of 74 microhaplotypes in four major U.S. population groups. Forensic Science International Genetics. 49. 102398–102398. 20 indexed citations
11.
Oldoni, Fabio & Daniele Podini. (2019). Forensic molecular biomarkers for mixture analysis. Forensic Science International Genetics. 41. 107–119. 62 indexed citations
12.
Bennett, Lindsay, Fabio Oldoni, Sharon Wootton, et al.. (2019). Mixture deconvolution by massively parallel sequencing of microhaplotypes. International Journal of Legal Medicine. 133(3). 719–729. 56 indexed citations
13.
Oldoni, Fabio, Sharon Wootton, Robert Lagacé, et al.. (2019). A massively parallel sequencing assay of microhaplotypes for mixture deconvolution. Forensic science international. Genetics supplement series. 7(1). 522–524. 6 indexed citations
14.
Oldoni, Fabio, Kenneth K. Kídd, & Daniele Podini. (2018). Microhaplotypes in forensic genetics. Forensic Science International Genetics. 38. 54–69. 125 indexed citations
15.
Oldoni, Fabio, Vincent Castella, & Diana Hall. (2017). Application of DIP-STRs to sexual/physical assault investigations: Eight case reports. Forensic Science International Genetics. 30. 106–113. 11 indexed citations
16.
Oldoni, Fabio, Rebecca Hart, Moses S. Schanfield, et al.. (2017). Microhaplotypes for ancestry prediction. Forensic science international. Genetics supplement series. 6. e513–e515. 19 indexed citations
17.
Oldoni, Fabio, Vincent Castella, F. Grosjean, & Diana Hall. (2017). Sensitive DIP-STR markers for the analysis of unbalanced mixtures from “touch” DNA samples. Forensic Science International Genetics. 28. 111–117. 29 indexed citations
18.
Oldoni, Fabio, Vincent Castella, & Diana Hall. (2016). Shedding light on the relative DNA contribution of two persons handling the same object. Forensic Science International Genetics. 24. 148–157. 54 indexed citations
19.
Oldoni, Fabio, Vincent Castella, & Diana Hall. (2015). A novel set of DIP-STR markers for improved analysis of challenging DNA mixtures. Forensic Science International Genetics. 19. 156–164. 40 indexed citations
20.
Oldoni, Fabio, Vincent Castella, & Diana Hall. (2015). Exploring the relative DNA contribution of first and second object’s users on mock touch DNA mixtures. Forensic science international. Genetics supplement series. 5. e300–e301. 6 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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