C. Schelling

1.6k total citations
79 papers, 1.1k citations indexed

About

C. Schelling is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, C. Schelling has authored 79 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Genetics, 34 papers in Molecular Biology and 19 papers in Plant Science. Recurrent topics in C. Schelling's work include Animal Genetics and Reproduction (28 papers), Chromosomal and Genetic Variations (18 papers) and Genetic Mapping and Diversity in Plants and Animals (16 papers). C. Schelling is often cited by papers focused on Animal Genetics and Reproduction (28 papers), Chromosomal and Genetic Variations (18 papers) and Genetic Mapping and Diversity in Plants and Animals (16 papers). C. Schelling collaborates with scholars based in Switzerland, Poland and Germany. C. Schelling's co-authors include G. Dolf, M. Świtoński, Alexander I. Agoulnik, E. Słota, M. Bugno, Frode Lingaas, Carles Vilà, Jean‐Denis Vigne, Joris Peters and Peter W. Stahl and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and FEBS Letters.

In The Last Decade

C. Schelling

77 papers receiving 1000 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Schelling Switzerland 16 722 358 150 145 103 79 1.1k
Michele Perloski United States 9 665 0.9× 447 1.2× 115 0.8× 90 0.6× 150 1.5× 9 1.2k
Kenine E. Comstock United States 14 893 1.2× 605 1.7× 376 2.5× 63 0.4× 99 1.0× 15 1.5k
Travis D. Lorentzen United States 7 756 1.0× 326 0.9× 170 1.1× 66 0.5× 158 1.5× 10 1.0k
Mark W. Neff United States 15 714 1.0× 480 1.3× 143 1.0× 76 0.5× 96 0.9× 19 1.3k
Abhirami Ratnakumar United States 8 623 0.9× 479 1.3× 115 0.8× 142 1.0× 72 0.7× 12 1.1k
Yuichi Tanabe Japan 28 686 1.0× 363 1.0× 307 2.0× 59 0.4× 125 1.2× 126 2.7k
Maja L. Arendt Sweden 12 619 0.9× 328 0.9× 140 0.9× 72 0.5× 128 1.2× 30 1.1k
Hechuan Yang China 9 510 0.7× 212 0.6× 163 1.1× 58 0.4× 59 0.6× 16 807
Óscar Ramírez Spain 28 1.3k 1.8× 449 1.3× 456 3.0× 100 0.7× 84 0.8× 79 2.2k
Erik Axelsson Sweden 15 1.1k 1.6× 607 1.7× 273 1.8× 296 2.0× 87 0.8× 15 1.7k

Countries citing papers authored by C. Schelling

Since Specialization
Citations

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

Fields of papers citing papers by C. Schelling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Schelling

This figure shows the co-authorship network connecting the top 25 collaborators of C. Schelling. A scholar is included among the top collaborators of C. Schelling 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 C. Schelling. C. Schelling 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.
Reichler, Iris M., Vidhya Jagannathan, Marilisa Novacco, et al.. (2023). Autosomal recessive hyposegmentation of granulocytes in Australian Shepherd Dogs indicates a role for LMBR1L in myeloid leukocytes. PLoS Genetics. 19(6). e1010805–e1010805. 2 indexed citations
2.
Lischer, Heidi E. L., Irene Keller, Irene M. Häfliger, et al.. (2020). New genomic features of the polled intersex syndrome variant in goats unraveled by long‐read whole‐genome sequencing. Animal Genetics. 51(3). 439–448. 20 indexed citations
3.
Letko, Anna, Brigitta Ammann, Vidhya Jagannathan, et al.. (2019). A deletion spanning the promoter and first exon of the hair cycle‐specific ASIP transcript isoform in black and tan rabbits. Animal Genetics. 51(1). 137–140. 14 indexed citations
4.
Handler, Johannes, et al.. (2019). Fertility and 63,X Mosaicism in a Haflinger Sibship. Journal of Equine Veterinary Science. 78. 127–133. 6 indexed citations
5.
Dolf, G., et al.. (2017). Factors influencing litter size and puppy losses in the Entlebucher Mountain dog. Theriogenology. 95. 163–170. 18 indexed citations
6.
Balogh, Orsolya, Alice H. Berger, Paula Grest, et al.. (2015). 37,X/38,XY Mosaicism in a Cryptorchid Bengal Cat with Müllerian Duct Remnants. Sexual Development. 9(6). 327–332. 8 indexed citations
7.
Bugno, M., et al.. (2009). Detection of Sex Chromosome Aneuploidy in Equine Spermatozoa Using Fluorescence In Situ Hybridization. Reproduction in Domestic Animals. 45(6). 1015–1019. 16 indexed citations
8.
Greminger, Maja P., et al.. (2009). The quest for Y‐chromosomal markers – methodological strategies for mammalian non‐model organisms. Molecular Ecology Resources. 10(3). 409–420. 25 indexed citations
9.
Wenker, Christian, et al.. (2008). Juvenile Mortality in Captive Lesser Kudu (Tragelaphus imberbis) at Basle Zoo and its Relation to Nutrition and Husbandry. Journal of Zoo and Wildlife Medicine. 39(1). 86–91. 8 indexed citations
10.
Słota, E., et al.. (2006). Application of chromosome microdissection and chromosome painting techniques for reciprocal translocations diagnosis in pigs. Annals of Animal Science. 6(2). 3 indexed citations
11.
Szczerbal, Izabela, Jolanta Klukowska‐Rötzler, G. Dolf, C. Schelling, & M. Świtoński. (2006). FISH mapping of 10 canine BAC clones harbouring genes and microsatellites in the arctic fox and the Chinese raccoon dog genomes. Journal of Animal Breeding and Genetics. 123(5). 337–342. 6 indexed citations
12.
Słota, E., et al.. (2005). Comparative hybridization of the Y chromosome in selected species of Bovidae. Annals of Animal Science. 5(1). 5 indexed citations
13.
Szczerbal, Izabela, et al.. (2003). Comparative chromosomal localization of the canine-derived BAC clones containing LEP and IGF1 genes in four species of the family Canidae. Cytogenetic and Genome Research. 102(1-4). 264–266. 13 indexed citations
14.
Omi, Toshinori, P. Vögeli, C. Hagger, et al.. (2003). cDNA cloning, mapping and polymorphism of the porcine Rhesus (RH) gene. Animal Genetics. 34(3). 176–182. 4 indexed citations
15.
Truong, Anne, Natalia V. Bogatcheva, C. Schelling, G. Dolf, & Alexander I. Agoulnik. (2003). Isolation and Expression Analysis of the Canine Insulin-Like Factor 3 Gene1. Biology of Reproduction. 69(5). 1658–1664. 20 indexed citations
16.
Schelling, C., et al.. (2002). Canine 5S rRNA: nucleotide sequence and chromosomal assignment of its gene cluster in four canid species. Cytogenetic and Genome Research. 97(3-4). 187–190. 8 indexed citations
17.
Schelling, C., et al.. (2000). Localisation of three canine microsatellites on the arctic fox (Alopex lagopus) chromosomes.. Veterinární Medicína. 45. 314–316. 6 indexed citations
18.
Arnold, S., et al.. (2000). Palmoplantar hyperkeratosis in Irish terriers: evidence of autosomal recessive inheritance. Journal of Small Animal Practice. 41(2). 52–55. 8 indexed citations
19.
Yang, Fengtang, B.S. Milne, C. Schelling, et al.. (2000). Chromosome Identification and Assignment of DNA Clones in the Dog Using a Red Fox and Dog Comparative Map. Chromosome Research. 8(2). 93–100. 28 indexed citations
20.
Dolf, G., et al.. (2000). Seven cosmid‐derived canine microsatellites. Animal Genetics. 31(6). 411–412. 7 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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