Yoan Diekmann

3.2k total citations
24 papers, 501 citations indexed

About

Yoan Diekmann is a scholar working on Molecular Biology, Genetics and Archeology. According to data from OpenAlex, Yoan Diekmann has authored 24 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Genetics and 6 papers in Archeology. Recurrent topics in Yoan Diekmann's work include Genomics and Phylogenetic Studies (7 papers), Forensic Anthropology and Bioarchaeology Studies (6 papers) and Archaeology and ancient environmental studies (5 papers). Yoan Diekmann is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Forensic Anthropology and Bioarchaeology Studies (6 papers) and Archaeology and ancient environmental studies (5 papers). Yoan Diekmann collaborates with scholars based in United Kingdom, Portugal and Germany. Yoan Diekmann's co-authors include José B. Pereira‐Leal, Elsa Seixas, Miguel C. Seabra, Marc Gouw, Mark Thomas, Mark Dyble, John R. Stewart, Hugh Montgomery, Monika V. Knul and Andrea Bamberg Migliano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Current Biology.

In The Last Decade

Yoan Diekmann

21 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoan Diekmann United Kingdom 11 270 144 88 48 44 24 501
Saioa López United Kingdom 14 186 0.7× 79 0.5× 226 2.6× 23 0.5× 49 1.1× 25 653
Craig Lawless United Kingdom 18 620 2.3× 106 0.7× 79 0.9× 39 0.8× 60 1.4× 38 970
Lawrence Hon United States 11 931 3.4× 84 0.6× 493 5.6× 51 1.1× 47 1.1× 17 1.6k
Abra Brisbin United States 12 223 0.8× 36 0.3× 525 6.0× 27 0.6× 63 1.4× 18 928
Gianmarco Ferri Italy 20 461 1.7× 39 0.3× 560 6.4× 87 1.8× 34 0.8× 84 1.1k
Marc Bauchet United States 6 245 0.9× 84 0.6× 657 7.5× 53 1.1× 15 0.3× 6 877
Tasha K. Altheide United States 6 317 1.2× 21 0.1× 318 3.6× 18 0.4× 18 0.4× 10 657
Giulio Catalano Italy 10 127 0.5× 64 0.4× 195 2.2× 50 1.0× 139 3.2× 19 488
Iván Muñoz United Kingdom 20 916 3.4× 145 1.0× 178 2.0× 54 1.1× 82 1.9× 39 1.3k
Rachel M. Gittelman United States 9 203 0.8× 30 0.2× 356 4.0× 19 0.4× 64 1.5× 12 722

Countries citing papers authored by Yoan Diekmann

Since Specialization
Citations

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

Fields of papers citing papers by Yoan Diekmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoan Diekmann

This figure shows the co-authorship network connecting the top 25 collaborators of Yoan Diekmann. A scholar is included among the top collaborators of Yoan Diekmann 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 Yoan Diekmann. Yoan Diekmann 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.
Blöcher, Jens, et al.. (2025). A child born to immigrant parents at Lepenski Vir. Documenta Praehistorica. 52. 6–19.
2.
Muller, Antoine, et al.. (2025). An AI-assisted workflow for object detection and data collection from archaeological catalogues. Journal of Archaeological Science. 179. 106244–106244.
3.
Blöcher, Jens, Yoan Diekmann, Marina K. Karapetian, et al.. (2023). Descent, marriage, and residence practices of a 3,800-year-old pastoral community in Central Eurasia. Proceedings of the National Academy of Sciences. 120(36). e2303574120–e2303574120. 13 indexed citations
4.
Blöcher, Jens, et al.. (2023). Biological and substitute parents in Beaker period adult–child graves. Scientific Reports. 13(1). 18765–18765.
5.
Peterlongo, Pierre, et al.. (2023). HaploBlocks: Efficient Detection of Positive Selection in Large Population Genomic Datasets. Molecular Biology and Evolution. 40(3). 2 indexed citations
6.
Brace, Selina, Yoan Diekmann, Thomas Booth, et al.. (2022). Genomes from a medieval mass burial show Ashkenazi-associated hereditary diseases pre-date the 12th century. Current Biology. 32(20). 4350–4359.e6. 2 indexed citations
7.
Winkelbach, Laura, Jens Blöcher, Yoan Diekmann, et al.. (2021). Ancient genomes provide insights into family structure and the heredity of social status in the early Bronze Age of southeastern Europe. Scientific Reports. 11(1). 10072–10072. 22 indexed citations
8.
Stewart, John R., et al.. (2019). Palaeoecological and genetic evidence for Neanderthal power locomotion as an adaptation to a woodland environment. Quaternary Science Reviews. 217. 310–315. 37 indexed citations
9.
Fumagalli, Matteo, Stéphane M. Camus, Yoan Diekmann, et al.. (2019). Genetic diversity of CHC22 clathrin impacts its function in glucose metabolism. eLife. 8. 22 indexed citations
10.
Sheridan, Alison, Timothy J. Booth, Selina Brace, et al.. (2018). ‘Ava’: a Beaker-associated woman from a cist at Achavanich, Highland, and the story of her (re-)discovery and subsequent study. Proceedings of the Society of Antiquaries of Scotland. 147. 73–118. 5 indexed citations
11.
Pagani, Luca, Yoan Diekmann, Marco Sazzini, et al.. (2017). Three Reportedly Unrelated Families With Liddle Syndrome Inherited From a Common Ancestor. Hypertension. 71(2). 273–279. 13 indexed citations
12.
Diekmann, Yoan, Daniel Major‐Smith, Pascale Gerbault, et al.. (2017). Accurate age estimation in small-scale societies. Proceedings of the National Academy of Sciences. 114(31). 8205–8210. 37 indexed citations
13.
Diekmann, Yoan, et al.. (2016). Rabifier2: an improved bioinformatic classifier of Rab GTPases. Bioinformatics. 33(4). 568–570. 7 indexed citations
14.
Tanaka, Kohtaro, et al.. (2015). Multispecies Analysis of Expression Pattern Diversification in the Recently Expanded Insect Ly6 Gene Family. Molecular Biology and Evolution. 32(7). 1730–1747. 13 indexed citations
15.
Diekmann, Yoan & José B. Pereira‐Leal. (2015). Bioinformatic Approaches to Identifying and Classifying Rab Proteins. Methods in molecular biology. 1298. 17–28. 2 indexed citations
16.
Diekmann, Yoan & José B. Pereira‐Leal. (2015). Gene Tree Affects Inference of Sites under Selection by the Branch-Site Test of Positive Selection. Evolutionary Bioinformatics. 11s2(Suppl 2). 11–7. 10 indexed citations
17.
Diekmann, Yoan & José B. Pereira‐Leal. (2012). Evolution of intracellular compartmentalization. Biochemical Journal. 449(2). 319–331. 132 indexed citations
18.
Diekmann, Yoan, et al.. (2011). Thousands of Rab GTPases for the Cell Biologist. PLoS Computational Biology. 7(10). e1002217–e1002217. 151 indexed citations
19.
Diekmann, Yoan, Marie‐France Sagot, & Éric Tannier. (2007). Evolution under Reversals: Parsimony and Conservation of Common Intervals. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 4(2). 301–309. 9 indexed citations
20.
Chauve, Cédric, Yoan Diekmann, Steffen Heber, et al.. (2006). On Common Intervals with Errors. Publikationen an der Universität Bielefeld (Universität Bielefeld). 1 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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