Tobias Bidon

923 total citations
9 papers, 553 citations indexed

About

Tobias Bidon is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Tobias Bidon has authored 9 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Molecular Biology and 5 papers in Ecology. Recurrent topics in Tobias Bidon's work include Genetic diversity and population structure (7 papers), Genomics and Phylogenetic Studies (5 papers) and Wildlife Ecology and Conservation (4 papers). Tobias Bidon is often cited by papers focused on Genetic diversity and population structure (7 papers), Genomics and Phylogenetic Studies (5 papers) and Wildlife Ecology and Conservation (4 papers). Tobias Bidon collaborates with scholars based in Germany, United States and United Kingdom. Tobias Bidon's co-authors include Axel Janke, Maria A. Nilsson, Vikas Kumar, Frank Hailer, Steven R. Fain, Verena E. Kutschera, Julian Fennessy, Uwe Fritz, Friederike Reuss and Lydia Kolter and has published in prestigious journals such as PLoS ONE, Current Biology and Scientific Reports.

In The Last Decade

Tobias Bidon

9 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tobias Bidon Germany	9	327	288	175	93	87	9	553
Vikas Kumar India	11	308 0.9×	270 0.9×	250 1.4×	117 1.3×	116 1.3×	40	672
Michael V. Westbury Denmark	14	356 1.1×	294 1.0×	234 1.3×	124 1.3×	57 0.7×	57	631
Gono Semiadi Indonesia	13	218 0.7×	265 0.9×	85 0.5×	73 0.8×	51 0.6×	69	535
Catrin Hammer Switzerland	6	280 0.9×	284 1.0×	156 0.9×	159 1.7×	99 1.1×	18	619
Junghwa An South Korea	12	311 1.0×	237 0.8×	202 1.2×	35 0.4×	67 0.8×	61	524
Kritika M. Garg India	16	258 0.8×	189 0.7×	171 1.0×	50 0.5×	208 2.4×	47	568
Olga Kardailsky New Zealand	12	364 1.1×	112 0.4×	221 1.3×	113 1.2×	82 0.9×	21	558
Linda E. Neaves Australia	14	332 1.0×	338 1.2×	156 0.9×	63 0.7×	178 2.0×	49	703
Nicolás Dussex Sweden	17	459 1.4×	327 1.1×	182 1.0×	67 0.7×	130 1.5×	46	762
Tom van der Valk Sweden	14	348 1.1×	174 0.6×	212 1.2×	36 0.4×	51 0.6×	32	538

Countries citing papers authored by Tobias Bidon

Since Specialization

Citations

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

Fields of papers citing papers by Tobias Bidon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tobias Bidon

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

All Works

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9 of 9 papers shown

1.

Kumar, Vikas, Fritjof Lammers, Tobias Bidon, et al.. (2017). The evolutionary history of bears is characterized by gene flow across species. Scientific Reports. 7(1). 46487–46487. 126 indexed citations

2.

Fennessy, Julian, Tobias Bidon, Friederike Reuss, et al.. (2016). Multi-locus Analyses Reveal Four Giraffe Species Instead of One. Current Biology. 26(18). 2543–2549. 158 indexed citations

3.

Kutschera, Verena E., Axel Janke, Karl Skírnisson, et al.. (2016). High genetic variability of vagrant polar bears illustrates importance of population connectivity in fragmented sea ice habitats. Animal Conservation. 19(4). 337–349. 15 indexed citations

4.

Bidon, Tobias, et al.. (2015). Genome-Wide Search Identifies 1.9 Mb from the Polar Bear Y Chromosome for Evolutionary Analyses. Genome Biology and Evolution. 7(7). 2010–2022. 33 indexed citations

5.

Kutschera, Verena E., et al.. (2014). Bears in a Forest of Gene Trees: Phylogenetic Inference Is Complicated by Incomplete Lineage Sorting and Gene Flow. Molecular Biology and Evolution. 31(8). 2004–2017. 112 indexed citations

6.

Bidon, Tobias, Axel Janke, Steven R. Fain, et al.. (2014). Brown and Polar Bear Y Chromosomes Reveal Extensive Male-Biased Gene Flow within Brother Lineages. Molecular Biology and Evolution. 31(6). 1353–1363. 41 indexed citations

7.

Fennessy, Julian, et al.. (2014). Mitochondrial sequences reveal a clear separation between Angolan and South African giraffe along a cryptic rift valley. BMC Evolutionary Biology. 14(1). 219–219. 33 indexed citations

8.

Bidon, Tobias, Hans Geir Eiken, Verena E. Kutschera, et al.. (2013). A sensitive and specific multiplex PCR approach for sex identification of ursine and tremarctine bears suitable for non‐invasive samples. Molecular Ecology Resources. 13(3). 362–368. 24 indexed citations

9.

Neumann, Simon, et al.. (2012). The Transmembrane Domains of TNF-Related Apoptosis-Inducing Ligand (TRAIL) Receptors 1 and 2 Co-Regulate Apoptotic Signaling Capacity. PLoS ONE. 7(8). e42526–e42526. 11 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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