Jonathan Davitte

1.7k total citations
3 papers, 9 citations indexed

About

Jonathan Davitte is a scholar working on Molecular Biology, Genetics and Nephrology. According to data from OpenAlex, Jonathan Davitte has authored 3 papers receiving a total of 9 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Nephrology. Recurrent topics in Jonathan Davitte's work include Genetic Associations and Epidemiology (2 papers), Hemoglobinopathies and Related Disorders (1 paper) and Genomics and Rare Diseases (1 paper). Jonathan Davitte is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Hemoglobinopathies and Related Disorders (1 paper) and Genomics and Rare Diseases (1 paper). Jonathan Davitte collaborates with scholars based in United States, United Kingdom and France. Jonathan Davitte's co-authors include Margaret G. Ehm, Monica Isgut, May D. Wang, Kijoung Song, Audrey Y. Chu, Jeremy F. Reiter, Pooja Kathail, K. Mäder, Radu Rapiteanu and Sailaja Peddada and has published in prestigious journals such as Nature Genetics, Clinical Pharmacology & Therapeutics and Genetic Epidemiology.

In The Last Decade

Jonathan Davitte

3 papers receiving 9 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Davitte United States	3	3	2	1	1	1	3	9
Claire E Dysart United States	3	2 0.7×	2 1.0×				5	7
Qingchuan Bao China	2	3 1.0×					3	5
Lucas Richter United States	2	3 1.0×				1 1.0×	3	4
Rita Ibitoye United Kingdom	1	3 1.0×					2	4
Mairo Puusepp Estonia	1	3 1.0×			1 1.0×		2	5
Олександра Козак Ukraine	2	3 1.0×					10	6
Corrina Cliffe Australia	2	3 1.0×					3	4
Y. Cheng Germany	2	3 1.0×					3	4
Ariella Gladstein United States	1	3 1.0×					2	5
V. Kartik Chundru United Kingdom	2	4 1.3×					6	7

Countries citing papers authored by Jonathan Davitte

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Davitte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Davitte

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

All Works

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3 of 3 papers shown

1.

Loeb, Gabriel B., Pooja Kathail, Richard W. Shuai, et al.. (2024). Variants in tubule epithelial regulatory elements mediate most heritable differences in human kidney function. Nature Genetics. 56(10). 2078–2092. 3 indexed citations

2.

Isgut, Monica, Kijoung Song, Margaret G. Ehm, May D. Wang, & Jonathan Davitte. (2023). Effect of case and control definitions on genome‐wide association study (GWAS) findings. Genetic Epidemiology. 47(5). 394–406. 4 indexed citations

3.

Davitte, Jonathan, Marni Stott‐Miller, Margaret G. Ehm, Marianne Cunnington, & Robert F. Reynolds. (2021). Integration of Real‐World Data and Genetics to Support Target Identification and Validation. Clinical Pharmacology & Therapeutics. 111(1). 63–76. 2 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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