Michele Koltookian

761 total citations
7 papers, 226 citations indexed

About

Michele Koltookian is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Small Animals. According to data from OpenAlex, Michele Koltookian has authored 7 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 2 papers in Small Animals. Recurrent topics in Michele Koltookian's work include Veterinary Oncology Research (3 papers), Infectious Diseases and Mycology (2 papers) and Epigenetics and DNA Methylation (2 papers). Michele Koltookian is often cited by papers focused on Veterinary Oncology Research (3 papers), Infectious Diseases and Mycology (2 papers) and Epigenetics and DNA Methylation (2 papers). Michele Koltookian collaborates with scholars based in United States, Sweden and Netherlands. Michele Koltookian's co-authors include Kerstin Lindblad‐Toh, Ross Swofford, Jason Turner-Maier, Jeremy Johnson, Noriko Tonomura, Mara Rosenberg, Rameen Beroukhim, Jaime F. Modiano, Matthew Breen and Eva Murén and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genome Research and PLoS Genetics.

In The Last Decade

Michele Koltookian

7 papers receiving 225 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michele Koltookian United States	7	98	94	92	56	31	7	226
Shannon E. Duke United States	6	104 1.1×	99 1.1×	130 1.4×	40 0.7×	15 0.5×	6	227
Cristan M. Jubala United States	8	239 2.4×	108 1.1×	180 2.0×	82 1.5×	7 0.2×	10	371
A. Scott United States	6	106 1.1×	139 1.5×	160 1.7×	35 0.6×	5 0.2×	8	313
Zena Wolf United States	7	16 0.2×	83 0.9×	128 1.4×	26 0.5×	35 1.1×	9	236
Chi-Shuan Huang Taiwan	9	24 0.2×	159 1.7×	90 1.0×	15 0.3×	29 0.9×	13	320
Ha‐Young Lim South Korea	11	254 2.6×	111 1.2×	60 0.7×	117 2.1×	3 0.1×	26	347
Murali V.P. Nadella United States	7	116 1.2×	82 0.9×	37 0.4×	17 0.3×	8 0.3×	9	281
Wachiraphan Supsavhad United States	7	121 1.2×	88 0.9×	37 0.4×	15 0.3×	5 0.2×	12	287
Melissa Papargiris Australia	10	208 2.1×	99 1.1×	32 0.3×	20 0.4×	4 0.1×	12	406
Jennifer Ferris United States	6	20 0.2×	262 2.8×	90 1.0×	11 0.2×	23 0.7×	8	425

Countries citing papers authored by Michele Koltookian

Since Specialization

Citations

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

Fields of papers citing papers by Michele Koltookian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Koltookian

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

All Works

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7 of 7 papers shown

Biasoli, Deborah, Sally L. Ricketts, Céline Courtay-Cahen, et al.. (2019). A synonymous germline variant in a gene encoding a cell adhesion molecule is associated with cutaneous mast cell tumour development in Labrador and Golden Retrievers. PLoS Genetics. 15(3). e1007967–e1007967. 11 indexed citations

Megquier, Kate, Diane P. Genereux, Jessica P. Hekman, et al.. (2019). BarkBase: Epigenomic Annotation of Canine Genomes. Genes. 10(6). 433–433. 22 indexed citations

Ivansson, Emma, Kate Megquier, Sergey V. Kozyrev, et al.. (2016). Variants within the SP110 nuclear body protein modify risk of canine degenerative myelopathy. Proceedings of the National Academy of Sciences. 113(22). E3091–100. 30 indexed citations

Truvé, Katarina, Peter J. Dickinson, Anqi Xiong, et al.. (2016). Utilizing the Dog Genome in the Search for Novel Candidate Genes Involved in Glioma Development—Genome Wide Association Mapping followed by Targeted Massive Parallel Sequencing Identifies a Strongly Associated Locus. PLoS Genetics. 12(5). e1006000–e1006000. 42 indexed citations

Olsson, Mia, Marcin Kierczak, Åsa Karlsson, et al.. (2016). Absolute quantification reveals the stable transmission of a high copy number variant linked to autoinflammatory disease. BMC Genomics. 17(1). 299–299. 6 indexed citations

Elvers, Ingegerd, Jason Turner-Maier, Ross Swofford, et al.. (2015). Exome sequencing of lymphomas from three dog breeds reveals somatic mutation patterns reflecting genetic background. Genome Research. 25(11). 1634–1645. 78 indexed citations

Arendt, Maja L., Malin Melin, Noriko Tonomura, et al.. (2015). Genome-Wide Association Study of Golden Retrievers Identifies Germ-Line Risk Factors Predisposing to Mast Cell Tumours. PLoS Genetics. 11(11). e1005647–e1005647. 37 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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