Mitchell W. Dillon

718 total citations
7 papers, 202 citations indexed

About

Mitchell W. Dillon is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Oncology. According to data from OpenAlex, Mitchell W. Dillon has authored 7 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Oncology. Recurrent topics in Mitchell W. Dillon's work include Protein Tyrosine Phosphatases (5 papers), Peptidase Inhibition and Analysis (2 papers) and Galectins and Cancer Biology (2 papers). Mitchell W. Dillon is often cited by papers focused on Protein Tyrosine Phosphatases (5 papers), Peptidase Inhibition and Analysis (2 papers) and Galectins and Cancer Biology (2 papers). Mitchell W. Dillon collaborates with scholars based in United States, Germany and France. Mitchell W. Dillon's co-authors include Heather Mason‐Suares, Jennifer A. Lee, Martin Zenker, Karen W. Gripp, Hélène Cavé, Bruce D. Gelb, Katherine A. Rauen, Lisa M. Vincent, Bradley A. Williams and Matthew S. Lebo and has published in prestigious journals such as Clinical Pharmacology & Therapeutics, Human Mutation and Genetics in Medicine.

In The Last Decade

Mitchell W. Dillon

7 papers receiving 201 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitchell W. Dillon United States 5 127 81 60 26 18 7 202
Maria Gnazzo Italy 9 140 1.1× 184 2.3× 47 0.8× 19 0.7× 25 1.4× 26 304
Arnaud Chignon Canada 7 76 0.6× 44 0.5× 44 0.7× 16 0.6× 30 1.7× 9 172
Korbinian M. Riedhammer Germany 10 134 1.1× 47 0.6× 31 0.5× 10 0.4× 9 0.5× 26 231
Ninad Oak United States 8 131 1.0× 126 1.6× 17 0.3× 20 0.8× 12 0.7× 14 260
Christina Lißewski Germany 8 181 1.4× 52 0.6× 94 1.6× 39 1.5× 6 0.3× 15 225
Orna Steinberg‐Shemer Israel 8 113 0.9× 67 0.8× 28 0.5× 17 0.7× 4 0.2× 30 237
Petcharat Leoyklang United States 8 211 1.7× 99 1.2× 29 0.5× 15 0.6× 56 3.1× 14 318
Vera Riehmer Germany 7 142 1.1× 54 0.7× 18 0.3× 33 1.3× 4 0.2× 11 229
Alessandra Venanzi Italy 6 62 0.5× 50 0.6× 110 1.8× 54 2.1× 3 0.2× 12 257
Baihui Ma China 6 133 1.0× 33 0.4× 29 0.5× 6 0.2× 26 1.4× 11 248

Countries citing papers authored by Mitchell W. Dillon

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell W. Dillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchell W. Dillon. 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 Mitchell W. Dillon. The network helps show where Mitchell W. Dillon may publish in the future.

Co-authorship network of co-authors of Mitchell W. Dillon

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

All Works

7 of 7 papers shown
1.
Cody, Neal, Paola Nicoletti, Aniwaa Owusu Obeng, et al.. (2020). Clinical Pharmacogenetic Testing and the Posttest Counseling Conundrum. Clinical Pharmacology & Therapeutics. 108(5). 924–928. 4 indexed citations
2.
Witkowski, Leora, Mitchell W. Dillon, Elissa Murphy, Matthew S. Lebo, & Heather Mason‐Suares. (2020). Expanding the Noonan spectrum/RASopathy NGS panel: Benefits of adding NF1 and SPRED1. Molecular Genetics & Genomic Medicine. 8(4). e1180–e1180. 7 indexed citations
3.
Schreiber‐Agus, Nicole, Xiaoqiang Cai, Guiqing Cai, et al.. (2019). Lessons learned from expanded reproductive carrier screening in self‐reported Ashkenazi, Sephardi, and Mizrahi Jewish patients. Molecular Genetics & Genomic Medicine. 8(2). e1053–e1053. 12 indexed citations
4.
Gelb, Bruce D., Hélène Cavé, Mitchell W. Dillon, et al.. (2018). ClinGen’s RASopathy Expert Panel consensus methods for variant interpretation. Genetics in Medicine. 20(11). 1334–1345. 90 indexed citations
5.
Grant, Andrew R., Brandon J. Cushman, Hélène Cavé, et al.. (2018). Assessing the gene–disease association of 19 genes with the RASopathies using the ClinGen gene curation framework. Human Mutation. 39(11). 1485–1493. 61 indexed citations
6.
Hartill, Verity, Mitchell W. Dillon, Daniel Warren, & Moira Blyth. (2016). RAF1-associated Noonan syndrome presenting antenatally with an abnormality of skull shape, subdural haematoma and associated with novel cerebral malformations. Clinical Dysmorphology. 26(2). 101–106. 4 indexed citations
7.
Dillon, Mitchell W., et al.. (2016). Retrospective study of prenatal ultrasound findings in newborns with a Noonan spectrum disorder. Prenatal Diagnosis. 36(5). 418–423. 24 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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