A. S. Peña

4.8k total citations · 1 hit paper
83 papers, 3.6k citations indexed

About

A. S. Peña is a scholar working on Genetics, Immunology and Epidemiology. According to data from OpenAlex, A. S. Peña has authored 83 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Genetics, 38 papers in Immunology and 32 papers in Epidemiology. Recurrent topics in A. S. Peña's work include Inflammatory Bowel Disease (47 papers), Microscopic Colitis (27 papers) and Helicobacter pylori-related gastroenterology studies (16 papers). A. S. Peña is often cited by papers focused on Inflammatory Bowel Disease (47 papers), Microscopic Colitis (27 papers) and Helicobacter pylori-related gastroenterology studies (16 papers). A. S. Peña collaborates with scholars based in Netherlands, Spain and United States. A. S. Peña's co-authors include S. G. M. Meuwissen, E. P. van Rees, Mary Palmen, Elisabeth Bloemena, Halil Akol, Levinus A. Dieleman, J. Bart A. Crusius, María Asunción García-González, Ioannis E. Κoutroubakis and Irene T. Weterman and has published in prestigious journals such as Gastroenterology, Annals of Neurology and Gut.

In The Last Decade

A. S. Peña

83 papers receiving 3.4k citations

Hit Papers

Chronic experimental colitis induced by dextran sulphate ... 1998 2026 2007 2016 1998 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Chronic experimental colitis induced by dextran sulphate sodium (DSS) is characterized by Th1 and Th2 cytokines
    1998 963 citations A. S. Peña et al. profile →

Peers

A. S. Peña
A. S. Peña Netherlands
Jesús K. Yamamoto‐Furusho Mexico
Gerd Bouma Netherlands
Karl A. Brokstad Norway
Christian Bojarski Germany
Takashi Shimoyama Japan
Frank Seibold Switzerland
Miles Parkes United Kingdom
Christoph Mueller Switzerland
Yashwant R. Mahida United Kingdom
A. S. Peña Netherlands
A. S. Peña
Citations per year, relative to A. S. Peña A. S. Peña (= 1×) peers A. S. Peña

Countries citing papers authored by A. S. Peña

Since Specialization
Citations

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

Fields of papers citing papers by A. S. Peña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. S. Peña. 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 A. S. Peña. The network helps show where A. S. Peña may publish in the future.

Co-authorship network of co-authors of A. S. Peña

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

All Works

20 of 20 papers shown
1.
Uitdehaag, Bernard M.J., Frederik Barkhof, Chris H. Polman, et al.. (2011). Genetic Correlations of Brain Lesion Distribution in Multiple Sclerosis: An Exploratory Study. American Journal of Neuroradiology. 32(4). 695–703. 9 indexed citations
2.
Sombekke, Madeleine H, J. Bart A. Crusius, Diego Tejedor, et al.. (2009). HLA-DRB1*1501 and Spinal Cord Magnetic Resonance Imaging Lesions in Multiple Sclerosis. Archives of Neurology. 66(12). 1531–6. 29 indexed citations
3.
Peña, A. S.. (2006). Contribution of genetics to a new vision in the understanding of inflammatory bowel disease. World Journal of Gastroenterology. 12(30). 4784–4784. 8 indexed citations
4.
Fidder, Herma H., Roel Heijmans, Yehuda Chowers, et al.. (2006). TNF‐857 polymorphism in Israeli Jewish patients with inflammatory bowel disease. International Journal of Immunogenetics. 33(2). 81–85. 15 indexed citations
5.
Moreno, María de Lourdes, J. Bart A. Crusius, Alejandra C. Cherñavsky, et al.. (2005). The IL-1 gene family and bone involvement in celiac disease. Immunogenetics. 57(8). 618–620. 24 indexed citations
6.
Borm, Michelle E A, et al.. (2005). A major quantitative trait locus on mouse chromosome 3 is involved in disease susceptibility in different colitis models. Gastroenterology. 128(1). 74–85. 35 indexed citations
7.
Schrijver, Hans M., J. Bart A. Crusius, María Asunción García-González, et al.. (2004). Gender-Related Association Between the TGFBI+869 Polymorphism and Multiple Sclerosis. Journal of Interferon & Cytokine Research. 24(9). 536–542. 14 indexed citations
8.
Acosta, Manuel Barreiro‐de, et al.. (2004). CARD15 Mutations in Patients With Crohn's Disease in a Homogeneous Spanish Population. The American Journal of Gastroenterology. 99(3). 450–456. 28 indexed citations
9.
Zwiers, Antonie, Diana Seegers, Roel Heijmans, et al.. (2004). Definition of polymorphisms and haplotypes in the interleukin-12B gene: association with IL-12 production but not with Crohn's disease. Genes and Immunity. 5(8). 675–677. 25 indexed citations
10.
Winkel, E. G., et al.. (2003). Tgf beta 1 and il-1 beta(-31) gene polymorphisms in adult periodontitis.. Journal of Dental Research. 82. 503–503. 5 indexed citations
11.
Linskens, Ronald K., et al.. (2003). Genetic and serological markers to identify phenotypic subgroups in a Dutch Crohn’s disease population. Digestive and Liver Disease. 36(1). 29–34. 19 indexed citations
12.
Seegers, Diana, et al.. (2002). A critical approach to new forms of treatment of Crohn's disease and ulcerative colitis. Alimentary Pharmacology & Therapeutics. 16(s4). 53–58. 16 indexed citations
13.
Seegers, Diana, et al.. (2002). A TaqI polymorphism in the 3′UTR of the IL-12 p40 gene correlates with increased IL-12 secretion. Genes and Immunity. 3(7). 419–423. 143 indexed citations
14.
Peña, A. S. & M. Peñate. (2002). Genetic susceptibility and regulation of inflammation in Crohn's disease. Relationship with the innate immune system.. PubMed. 94(6). 351–60. 7 indexed citations
15.
García-González, María Asunción, J. Bart A. Crusius, Mark Strunk, et al.. (2000). TGFB1 gene polymorphisms and inflammatory bowel disease. Immunogenetics. 51(10). 869–872. 19 indexed citations
16.
Pool, M. Oudkerk, et al.. (1995). Serum Nitrate Levels in Ulcerative Colitis and Crohn's Disease. Scandinavian Journal of Gastroenterology. 30(8). 784–788. 71 indexed citations
17.
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19.
Arndt, J. W., A. S. Peña, D. Blok, et al.. (1988). Is radiolabelled sucralphate scintigraphy of any use in the diagnosis of inflammatory bowel disease?. Nuclear Medicine Communications. 9(8). 591–596. 7 indexed citations
20.
Verspaget, Hein W., A. S. Peña, Irene T. Weterman, & C. B. H. W. Lamers. (1987). Differences in the Immunoglobulin Synthesis by Peripheral Blood Lymphocytes in Crohn’s Disease and Ulcerative Colitis. Digestion. 38(4). 245–253. 4 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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