Thorsten Hadrys

650 total citations
17 papers, 514 citations indexed

About

Thorsten Hadrys is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Thorsten Hadrys has authored 17 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Ecology. Recurrent topics in Thorsten Hadrys's work include Molecular Biology Techniques and Applications (9 papers), Developmental Biology and Gene Regulation (6 papers) and Forensic and Genetic Research (5 papers). Thorsten Hadrys is often cited by papers focused on Molecular Biology Techniques and Applications (9 papers), Developmental Biology and Gene Regulation (6 papers) and Forensic and Genetic Research (5 papers). Thorsten Hadrys collaborates with scholars based in Germany, Switzerland and United States. Thorsten Hadrys's co-authors include Eva Bober, Hans-Henning Arnold, Thomas Braun, Peter Wiegand, Rob DeSalle, Nina Fischer, Sarah Guthrie, Sven Sagasser, Heike Herbrand and Bernd Schierwater and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Development and Developmental Biology.

In The Last Decade

Thorsten Hadrys

17 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thorsten Hadrys Germany 12 385 154 112 92 47 17 514
Kara E. Powder United States 12 201 0.5× 167 1.1× 76 0.7× 114 1.2× 63 1.3× 17 518
Katherine L. Hammond United Kingdom 11 380 1.0× 94 0.6× 132 1.2× 111 1.2× 26 0.6× 13 480
Allison Peak United States 13 596 1.5× 61 0.4× 92 0.8× 46 0.5× 61 1.3× 18 724
Cédric Patthey Sweden 14 431 1.1× 86 0.6× 56 0.5× 31 0.3× 64 1.4× 22 582
Andrés F. Sarrazin Chile 8 308 0.8× 52 0.3× 109 1.0× 97 1.1× 39 0.8× 13 501
Brock Roberts United States 10 405 1.1× 78 0.5× 108 1.0× 79 0.9× 20 0.4× 13 675
Blake Carrington United States 13 525 1.4× 229 1.5× 27 0.2× 36 0.4× 42 0.9× 32 740
Keely S. Solomon United States 8 395 1.0× 102 0.7× 103 0.9× 80 0.9× 61 1.3× 8 538
Elly M. Sweet United States 9 331 0.9× 53 0.3× 207 1.8× 125 1.4× 60 1.3× 10 515
Marcus C. Davis United States 12 365 0.9× 108 0.7× 16 0.1× 61 0.7× 10 0.2× 18 591

Countries citing papers authored by Thorsten Hadrys

Since Specialization
Citations

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

Fields of papers citing papers by Thorsten Hadrys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thorsten Hadrys

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

All Works

17 of 17 papers shown
1.
Neubauer, Jacqueline, R. Banemann, Cornelius Courts, et al.. (2025). Assessing transcriptomic signatures of aging: Testing an mRNA marker panel for forensic age estimation of blood samples. Forensic Science International Genetics. 78. 103282–103282. 2 indexed citations
2.
Dørum, Guro, R. Banemann, Cornelius Courts, et al.. (2023). Selecting mRNA markers in blood for age estimation of the donor of a biological stain. Forensic Science International Genetics. 68. 102976–102976. 9 indexed citations
3.
Gosch, Annica, R. Banemann, Guro Dørum, et al.. (2023). Spitting in the wind?—The challenges of RNA sequencing for biomarker discovery from saliva. International Journal of Legal Medicine. 138(2). 401–412. 8 indexed citations
4.
Kunz, Sebastian N., et al.. (2021). Development and validation of an mRNA-based multiplex body fluid identification workflow and a rectal mucosa marker pilot study. Forensic Science International Genetics. 54. 102542–102542. 21 indexed citations
5.
Courts, Cornelius, Guro Dørum, Annica Gosch, et al.. (2020). mRNA profiling of mock casework samples: Results of a FoRNAP collaborative exercise. Forensic Science International Genetics. 50. 102409–102409. 41 indexed citations
6.
Iacob, Diana, et al.. (2019). A machine learning model to predict the origin of forensically relevant body fluids. Forensic science international. Genetics supplement series. 7(1). 392–394. 10 indexed citations
7.
Müller, Petra, Christian Sell, Thorsten Hadrys, et al.. (2019). Inter-laboratory study on standardized MPS libraries: evaluation of performance, concordance, and sensitivity using mixtures and degraded DNA. International Journal of Legal Medicine. 134(1). 185–198. 20 indexed citations
8.
Wiegand, Peter, et al.. (2018). “The acid test”—validation of the ParaDNA® Body Fluid ID Test for routine forensic casework. International Journal of Legal Medicine. 133(3). 751–757. 5 indexed citations
9.
Hadrys, Thorsten, et al.. (2017). As solid as a rock—comparison of CE- and MPS-based analyses of the petrosal bone as a source of DNA for forensic identification of challenging cranial bones. International Journal of Legal Medicine. 132(1). 13–24. 39 indexed citations
10.
Hadrys, Thorsten, Hiroshi Kikuta, Guillaume Pézeron, et al.. (2006). Conserved co-regulation and promoter sharing of hoxb3a and hoxb4a in zebrafish. Developmental Biology. 297(1). 26–43. 24 indexed citations
11.
Hadrys, Thorsten, Rob DeSalle, Sven Sagasser, Nina Fischer, & Bernd Schierwater. (2005). The Trichoplax PaxB Gene: A Putative Proto-PaxA/B/C Gene Predating the Origin of Nerve and Sensory Cells. Molecular Biology and Evolution. 22(7). 1569–1578. 49 indexed citations
12.
Hadrys, Thorsten, Victoria Prince, Michael Hunter, R. Baker, & Silke Rinkwitz. (2004). Comparative genomic analysis of vertebrate Hox3 and Hox4 genes. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 302B(2). 147–164. 25 indexed citations
13.
Adamska, Maja, S. Léger, Michael Brand, et al.. (2000). Inner ear and lateral line expression of a zebrafish Nkx5-1 gene and its downregulation in the ears of FGF8 mutant, ace. Mechanisms of Development. 97(1-2). 161–165. 45 indexed citations
14.
Mennerich, Detlev, et al.. (1999). Two Highly Related Homeodomain Proteins, Nkx5-1 and Nkx5-2, Display Different DNA Binding Specificities. Biological Chemistry. 380(9). 1041–8. 11 indexed citations
15.
Hadrys, Thorsten, et al.. (1998). Nkx5-1 controls semicircular canal formation in the mouse inner ear. Development. 125(1). 33–39. 108 indexed citations
16.
17.
Mägert, Hans‐Jürgen, Thorsten Hadrys, Alexandra Cieslak, et al.. (1995). cDNA sequence and expression pattern of the putative pheromone carrier aphrodisin.. Proceedings of the National Academy of Sciences. 92(6). 2091–2095. 29 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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