P. Fain

816 total citations
10 papers, 542 citations indexed

About

P. Fain is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, P. Fain has authored 10 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 6 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Molecular Biology. Recurrent topics in P. Fain's work include Diabetes and associated disorders (7 papers), Adrenal Hormones and Disorders (4 papers) and Cardiomyopathy and Myosin Studies (2 papers). P. Fain is often cited by papers focused on Diabetes and associated disorders (7 papers), Adrenal Hormones and Disorders (4 papers) and Cardiomyopathy and Myosin Studies (2 papers). P. Fain collaborates with scholars based in United States, Sweden and Italy. P. Fain's co-authors include Luisa Mestroni, Matthew R.G. Taylor, Eugene E. Wolfel, Lisa Ku, George S. Eisenbarth, Marian Rewers, Peter A. Gottlieb, Janelle A. Noble, Evie Melanitou and Carani B. Sanjeevi and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

P. Fain

10 papers receiving 529 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Fain United States 9 315 219 124 104 63 10 542
Shibu John United Kingdom 11 253 0.8× 199 0.9× 88 0.7× 37 0.4× 55 0.9× 16 429
Sonny Dandona Canada 12 159 0.5× 163 0.7× 186 1.5× 28 0.3× 217 3.4× 21 497
Maria Grazia Franzosi Italy 5 89 0.3× 284 1.3× 199 1.6× 47 0.5× 94 1.5× 8 537
J. de Wal Canada 4 226 0.7× 270 1.2× 275 2.2× 125 1.2× 122 1.9× 8 519
Yanghui Chen China 12 121 0.4× 130 0.6× 59 0.5× 14 0.1× 50 0.8× 37 325
X. Du China 7 75 0.2× 172 0.8× 88 0.7× 17 0.2× 33 0.5× 14 357
Adrien Lupieri United States 9 54 0.2× 108 0.5× 59 0.5× 23 0.2× 24 0.4× 16 278
Lasse Bach Steffensen Denmark 11 47 0.1× 100 0.5× 33 0.3× 45 0.4× 55 0.9× 25 271
Lorraine Schofield United States 10 254 0.8× 188 0.9× 19 0.2× 11 0.1× 53 0.8× 22 386
Debora Vignali Italy 9 108 0.3× 132 0.6× 67 0.5× 34 0.3× 76 1.2× 10 372

Countries citing papers authored by P. Fain

Since Specialization
Citations

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

Fields of papers citing papers by P. Fain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Fain

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

All Works

10 of 10 papers shown
1.
Mestroni, Luisa, Gianfranco Sinagra, Kenneth L. Jones, et al.. (2013). WHOLE EXOME SEQUENCING IDENTIFIES A TROPONIN T MUTATION HOT SPOT IN FAMILIAL DILATED CARDIOMYOPATHY. Journal of the American College of Cardiology. 61(10). E594–E594. 16 indexed citations
2.
Baker, Peter R., P. Fain, Heinrich Kahles, et al.. (2012). Genetic Determinants of 21-Hydroxylase Autoantibodies Amongst Patients of the Type 1 Diabetes Genetics Consortium. The Journal of Clinical Endocrinology & Metabolism. 97(8). E1573–E1578. 7 indexed citations
3.
Baker, Peter R., Erin E. Baschal, P. Fain, et al.. (2011). Dominant Suppression of Addison's Disease Associated with HLA-B15. The Journal of Clinical Endocrinology & Metabolism. 96(7). 2154–2162. 9 indexed citations
4.
Amos, Christopher I., Susan M. Pinney, Yafang Li, et al.. (2010). A Susceptibility Locus on Chromosome 6q Greatly Increases Lung Cancer Risk among Light and Never Smokers. Cancer Research. 70(6). 2359–2367. 37 indexed citations
5.
Baker, Peter R., Erin E. Baschal, P. Fain, et al.. (2010). Haplotype Analysis Discriminates Genetic Risk for DR3-Associated Endocrine Autoimmunity and Helps Define Extreme Risk for Addison’s Disease. The Journal of Clinical Endocrinology & Metabolism. 95(10). E263–E270. 25 indexed citations
6.
Bilbao, José Ramón, Begoña Calvo, Ana M. Aransay, et al.. (2006). Conserved extended haplotypes discriminate HLA-DR3-homozygous Basque patients with type 1 diabetes mellitus and celiac disease. Genes and Immunity. 7(7). 550–554. 45 indexed citations
7.
Ku, Lisa, et al.. (2004). SCN5A Mutation Associated With Dilated Cardiomyopathy, Conduction Disorder, and Arrhythmia. Circulation. 110(15). 2163–2167. 318 indexed citations
8.
Melanitou, Evie, P. Fain, & George S. Eisenbarth. (2003). Genetics of Type 1A (immune mediated) diabetes. Journal of Autoimmunity. 21(2). 93–98. 21 indexed citations
9.
Sanjeevi, Carani B., David T. Robles, Liping Yu, et al.. (2002). Additional association of intra‐MHC genes, MICA and D6S273, with Addison's disease. Tissue Antigens. 60(2). 155–163. 44 indexed citations
10.
Kawasaki, Eiji, Janelle A. Noble, H.A. Erlich, et al.. (1998). Transmission of DQ haplotypes to patients with type 1 diabetes.. Diabetes. 47(12). 1971–1973. 20 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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