Karynne Patterson

42 total papers · 5.4k total citations
9 papers, 215 citations indexed

About

Karynne Patterson is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Karynne Patterson has authored 9 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 3 papers in Molecular Biology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Karynne Patterson's work include Genetic Associations and Epidemiology (3 papers), Genomics and Rare Diseases (3 papers) and Genomic variations and chromosomal abnormalities (2 papers). Karynne Patterson is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Genomics and Rare Diseases (3 papers) and Genomic variations and chromosomal abnormalities (2 papers). Karynne Patterson collaborates with scholars based in United States, Switzerland and Israel. Karynne Patterson's co-authors include Deborah A. Nickerson, Kenneth E. Thummel, Sean McGee, Michael J. Bamshad, Andrea Gaedigk, Erica L. Woodahl, Seung‐been Lee, Marsha M. Wheeler, Rachel Dalton and Jessica X. Chong and has published in prestigious journals such as Genetics in Medicine, Genome Medicine and American Journal of Medical Genetics Part B Neuropsychiatric Genetics.

In The Last Decade

Karynne Patterson

7 papers receiving 212 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Karynne Patterson	126	89	70	25	24	9	215
Nina Gonzaludo	135 1.1×	109 1.2×	92 1.3×	46 1.8×	31 1.3×	11	304
Anli Shu	118 0.9×	168 1.9×	38 0.5×	37 1.5×	9 0.4×	9	280
Tanushree Haldar	174 1.4×	114 1.3×	12 0.2×	10 0.4×	30 1.3×	16	293
Chiara Auwerx	120 1.0×	113 1.3×	16 0.2×	34 1.4×	17 0.7×	16	221
Sheila P. Gregório	56 0.4×	62 0.7×	18 0.3×	22 0.9×	9 0.4×	10	192
Nasim Monfared	177 1.4×	63 0.7×	27 0.4×	61 2.4×	33 1.4×	9	262
Shih‐Kai Chu	25 0.2×	55 0.6×	24 0.3×	11 0.4×	9 0.4×	9	138
Lester Hui	64 0.5×	70 0.8×	13 0.2×	16 0.6×	8 0.3×	6	214
Wei Liu	96 0.8×	72 0.8×	11 0.2×	3 0.1×	25 1.0×	7	201
J. Javier Hernández	15 0.1×	153 1.7×	11 0.2×	15 0.6×	17 0.7×	7	300

Countries citing papers authored by Karynne Patterson

Since Specialization

Citations

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

Fields of papers citing papers by Karynne Patterson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karynne Patterson

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

All Works

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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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