T.E. Gross

691 total citations
9 papers, 325 citations indexed

About

T.E. Gross is a scholar working on Molecular Biology, Genetics and Dermatology. According to data from OpenAlex, T.E. Gross has authored 9 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Genetics and 1 paper in Dermatology. Recurrent topics in T.E. Gross's work include Forensic and Genetic Research (6 papers), Molecular Biology Techniques and Applications (6 papers) and Genetic diversity and population structure (2 papers). T.E. Gross is often cited by papers focused on Forensic and Genetic Research (6 papers), Molecular Biology Techniques and Applications (6 papers) and Genetic diversity and population structure (2 papers). T.E. Gross collaborates with scholars based in Germany, Austria and Spain. T.E. Gross's co-authors include Peter M. Schneider, Christopher Phillips, Walther Parson, M. de la Puente, M.V. Lareu, Mayra Eduardoff, Ángel Carracedo, Carla Santos, Christina Strobl and David Ballard and has published in prestigious journals such as Genes, Forensic Science International Genetics and International Journal of Legal Medicine.

In The Last Decade

T.E. Gross

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
T.E. Gross Germany 8 251 240 68 32 20 9 325
Gengqian Zhang China 11 157 0.6× 244 1.0× 46 0.7× 33 1.0× 26 1.3× 36 318
Özlem Bülbül Türkiye 12 380 1.5× 245 1.0× 34 0.5× 36 1.1× 31 1.6× 42 463
Alexis Hernández Spain 6 233 0.9× 151 0.6× 37 0.5× 37 1.2× 5 0.3× 9 310
Magdalena Bogus Germany 3 348 1.4× 305 1.3× 57 0.8× 19 0.6× 8 0.4× 4 448
Sabrina Ingold United States 10 192 0.8× 271 1.1× 68 1.0× 22 0.7× 9 0.5× 10 311
A. Junge Germany 11 291 1.2× 240 1.0× 36 0.5× 31 1.0× 4 0.2× 17 367
Anastasia Aliferi United Kingdom 8 155 0.6× 330 1.4× 19 0.3× 49 1.5× 7 0.3× 10 394
M. Schürenkamp Germany 13 312 1.2× 269 1.1× 24 0.4× 24 0.8× 3 0.1× 23 398
Krystal Breslin United States 3 183 0.7× 173 0.7× 30 0.4× 52 1.6× 99 5.0× 4 309
Lakshmi Chaitanya Netherlands 7 360 1.4× 316 1.3× 65 1.0× 99 3.1× 141 7.0× 7 535

Countries citing papers authored by T.E. Gross

Since Specialization
Citations

This map shows the geographic impact of T.E. Gross'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 T.E. Gross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.E. Gross more than expected).

Fields of papers citing papers by T.E. Gross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.E. Gross. 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 T.E. Gross. The network helps show where T.E. Gross may publish in the future.

Co-authorship network of co-authors of T.E. Gross

This figure shows the co-authorship network connecting the top 25 collaborators of T.E. Gross. A scholar is included among the top collaborators of T.E. Gross 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 T.E. Gross. T.E. Gross 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.
Gross, T.E., Britt Maria Beckmann, Constanze Nieß, et al.. (2022). Variant interpretation in molecular autopsy: a useful dilemma. International Journal of Legal Medicine. 136(2). 475–482. 15 indexed citations
2.
Xavier, Catarina, M. de la Puente, Ana Mosquera‐Miguel, et al.. (2022). Development and inter-laboratory evaluation of the VISAGE Enhanced Tool for Appearance and Ancestry inference from DNA. Forensic Science International Genetics. 61. 102779–102779. 17 indexed citations
3.
Puente, M. de la, Catarina Xavier, Jacobo Pardo‐Seco, et al.. (2021). Development and Evaluation of the Ancestry Informative Marker Panel of the VISAGE Basic Tool. Genes. 12(8). 1284–1284. 20 indexed citations
4.
Gross, T.E., et al.. (2021). Progress in the implementation of massively parallel sequencing for forensic genetics: results of a European-wide survey among professional users. International Journal of Legal Medicine. 135(4). 1425–1432. 22 indexed citations
5.
Xavier, Catarina, M. de la Puente, Ana Mosquera‐Miguel, et al.. (2020). Development and validation of the VISAGE AmpliSeq basic tool to predict appearance and ancestry from DNA. Forensic Science International Genetics. 48. 102336–102336. 46 indexed citations
6.
Phillips, Christopher, Dennis McNevin, Kenneth K. Kídd, et al.. (2019). MAPlex - A massively parallel sequencing ancestry analysis multiplex for Asia-Pacific populations. Forensic Science International Genetics. 42. 213–226. 43 indexed citations
7.
Eduardoff, Mayra, T.E. Gross, Carla Santos, et al.. (2016). Inter-laboratory evaluation of the EUROFORGEN Global ancestry-informative SNP panel by massively parallel sequencing using the Ion PGM™. Forensic Science International Genetics. 23. 178–189. 50 indexed citations
8.
Eduardoff, Mayra, Carla Santos, M. de la Puente, et al.. (2015). Inter-laboratory evaluation of SNP-based forensic identification by massively parallel sequencing using the Ion PGM™. Forensic Science International Genetics. 17. 110–121. 106 indexed citations
9.
Gross, T.E., et al.. (2013). Combined analysis of two different ancestry informative assays using SNPs and Indels in Eurasian populations. Forensic science international. Genetics supplement series. 4(1). e25–e26. 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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