Jon Wasson

1.1k total citations
9 papers, 402 citations indexed

About

Jon Wasson is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Jon Wasson has authored 9 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Physiology. Recurrent topics in Jon Wasson's work include Endoplasmic Reticulum Stress and Disease (4 papers), Adenosine and Purinergic Signaling (3 papers) and Cancer-related gene regulation (2 papers). Jon Wasson is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (4 papers), Adenosine and Purinergic Signaling (3 papers) and Cancer-related gene regulation (2 papers). Jon Wasson collaborates with scholars based in United States, France and Israel. Jon Wasson's co-authors include M. Alan Permutt, Latisha Love‐Gregory, Rosalind J. Neuman, Gary B. Skolnick, Alessandro Doria, Steven C. Hunt, Lingwei Sun, Nada A. Abumrad, D. C. Rao and Richard Sherva and has published in prestigious journals such as PLoS ONE, Diabetes and Human Molecular Genetics.

In The Last Decade

Jon Wasson

9 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jon Wasson United States	7	242	126	92	82	55	9	402
Elizabeth N. Kaytor United States	10	301 1.2×	84 0.7×	33 0.4×	239 2.9×	122 2.2×	13	528
Britta Jenke Germany	8	315 1.3×	43 0.3×	84 0.9×	68 0.8×	52 0.9×	9	559
Bingzhi Yu China	15	584 2.4×	57 0.5×	154 1.7×	125 1.5×	37 0.7×	36	725
Michala Prause Denmark	12	173 0.7×	94 0.7×	43 0.5×	151 1.8×	76 1.4×	17	386
Jean‐Christophe Pointud France	13	336 1.4×	130 1.0×	118 1.3×	73 0.9×	122 2.2×	17	615
Marie-Hélène Cuif France	6	330 1.4×	81 0.6×	32 0.3×	304 3.7×	142 2.6×	8	516
Chanchan Bao China	6	401 1.7×	28 0.2×	49 0.5×	44 0.5×	26 0.5×	8	613
Juan Alejandro Oliva Trejo Japan	15	218 0.9×	65 0.5×	79 0.9×	32 0.4×	21 0.4×	32	523
Austin Bautista Canada	11	235 1.0×	229 1.8×	48 0.5×	382 4.7×	175 3.2×	19	543

Countries citing papers authored by Jon Wasson

Since Specialization

Citations

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

Fields of papers citing papers by Jon Wasson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Wasson

This figure shows the co-authorship network connecting the top 25 collaborators of Jon Wasson. A scholar is included among the top collaborators of Jon Wasson 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 Jon Wasson. Jon Wasson 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

Marshall, Bess A., M. Alan Permutt, Alexander Paciorkowski, et al.. (2013). Phenotypic characteristics of early Wolfram syndrome. Orphanet Journal of Rare Diseases. 8(1). 64–64. 71 indexed citations

Kesavadev, Jothydev, et al.. (2011). An Asian Indian Woman with Wolfram Syndrome on Insulin Pump: Successful Pregnancy and Beyond. Diabetes Technology & Therapeutics. 13(7). 781–785. 5 indexed citations

Neuman, Rosalind J., Jon Wasson, Gil Atzmon, et al.. (2010). Gene-Gene Interactions Lead to Higher Risk for Development of Type 2 Diabetes in an Ashkenazi Jewish Population. PLoS ONE. 5(3). e9903–e9903. 53 indexed citations

Fawcett, Katherine A., Eleanor Wheeler, Andrew P. Morris, et al.. (2009). Detailed Investigation of the Role of Common and Low-Frequency WFS1 Variants in Type 2 Diabetes Risk. Diabetes. 59(3). 741–746. 32 indexed citations

Love‐Gregory, Latisha, Richard Sherva, Lingwei Sun, et al.. (2008). Variants in the CD36 gene associate with the metabolic syndrome and high-density lipoprotein cholesterol. Human Molecular Genetics. 17(11). 1695–1704. 156 indexed citations

Wasson, Jon, Gary B. Skolnick, Latisha Love‐Gregory, & M. Alan Permutt. (2002). Assessing Allele Frequencies of Single Nucleotide Polymorphisms in DNA Pools by Pyrosequencing ^TM Technology. BioTechniques. 32(5). 1144–1152. 61 indexed citations

Aoki, Minoru, László Korányi, Jon Wasson, et al.. (1996). Identification of Trinucleotide Repeat–Containing Genes in Human Pancreatic Islets. Diabetes. 45(2). 157–164. 12 indexed citations

Tanizawa, Yukio, Minoru Aoki, Jon Wasson, et al.. (1995). Characterization of the LIM/Homeodomain Gene Islet-1 and Single Nucleotide Screening in NIDDM. Diabetes. 44(6). 689–694. 7 indexed citations

Distelhorst, Clark, et al.. (1987). Characterization of glucocorticoid receptors in S49 mouse lymphoma cells by affinity labeling with [3H]dexamethasone 21-mesylate. Journal of Steroid Biochemistry. 26(1). 59–65. 5 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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