Michael Arribas‐Ayllon

1.2k total citations
26 papers, 434 citations indexed

About

Michael Arribas‐Ayllon is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Michael Arribas‐Ayllon has authored 26 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 6 papers in Public Health, Environmental and Occupational Health and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Michael Arribas‐Ayllon's work include BRCA gene mutations in cancer (10 papers), Race, Genetics, and Society (5 papers) and Genomics and Rare Diseases (3 papers). Michael Arribas‐Ayllon is often cited by papers focused on BRCA gene mutations in cancer (10 papers), Race, Genetics, and Society (5 papers) and Genomics and Rare Diseases (3 papers). Michael Arribas‐Ayllon collaborates with scholars based in United Kingdom, Netherlands and Denmark. Michael Arribas‐Ayllon's co-authors include Srikant Sarangi, Angus Clarke, Andrew Bartlett, Katie Featherstone, ‪Irena Spasić, Lowri Williams, Christian Bannister, Alun Preece, Paul Atkinson and Andreas Artemiou and has published in prestigious journals such as Social Science & Medicine, Expert Systems with Applications and Archives of Disease in Childhood.

In The Last Decade

Michael Arribas‐Ayllon

25 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Arribas‐Ayllon United Kingdom 14 169 74 74 69 66 26 434
Mairi Levitt United Kingdom 12 140 0.8× 16 0.2× 206 2.8× 103 1.5× 82 1.2× 41 509
Julian Koplin Australia 12 43 0.3× 39 0.5× 146 2.0× 45 0.7× 51 0.8× 41 459
Rebecca Dimond United Kingdom 13 71 0.4× 10 0.1× 138 1.9× 114 1.7× 73 1.1× 32 469
Robert Wachbroit United States 10 45 0.3× 14 0.2× 53 0.7× 50 0.7× 47 0.7× 37 333
Christopher Koch United States 13 149 0.9× 12 0.2× 50 0.7× 68 1.0× 14 0.2× 41 730
Sarah Rosenberg France 11 42 0.2× 35 0.5× 19 0.3× 26 0.4× 28 0.4× 16 429
Federico de Luca Italy 12 29 0.2× 20 0.3× 51 0.7× 12 0.2× 63 1.0× 39 557
Angela M. Legg United States 12 56 0.3× 13 0.2× 22 0.3× 53 0.8× 21 0.3× 17 350
Joan Weiss United States 8 231 1.4× 4 0.1× 95 1.3× 95 1.4× 80 1.2× 20 446
Emma Grace Australia 11 23 0.1× 10 0.1× 87 1.2× 42 0.6× 28 0.4× 17 462

Countries citing papers authored by Michael Arribas‐Ayllon

Since Specialization
Citations

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

Fields of papers citing papers by Michael Arribas‐Ayllon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Arribas‐Ayllon. 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 Michael Arribas‐Ayllon. The network helps show where Michael Arribas‐Ayllon may publish in the future.

Co-authorship network of co-authors of Michael Arribas‐Ayllon

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Arribas‐Ayllon. A scholar is included among the top collaborators of Michael Arribas‐Ayllon 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 Michael Arribas‐Ayllon. Michael Arribas‐Ayllon 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.
Arribas‐Ayllon, Michael. (2025). Autism diagnosis in Wales: The case of governance-driven medicalisation in care pathways. Social Science & Medicine. 382. 118333–118333.
2.
Arribas‐Ayllon, Michael. (2023). Caring through things at a distance: Intimacy and presence in teletherapy assemblages. Sociology of Health & Illness. 46(1). 3–18. 2 indexed citations
3.
Arribas‐Ayllon, Michael, Angus Clarke, & Katherine H. Shelton. (2019). Professionals’ accounts of genetic testing in adoption: a qualitative study. Archives of Disease in Childhood. 105(1). 74–79. 2 indexed citations
4.
Williams, Lowri, Michael Arribas‐Ayllon, Andreas Artemiou, & ‪Irena Spasić. (2019). Comparing the Utility of Different Classification Schemes for Emotive Language Analysis. Journal of Classification. 36(3). 619–648. 14 indexed citations
5.
Arribas‐Ayllon, Michael, Andrew Bartlett, & Jamie Lewis. (2019). Psychiatric Genetics. 8 indexed citations
6.
Arribas‐Ayllon, Michael. (2016). After geneticization. Social Science & Medicine. 159. 132–139. 40 indexed citations
7.
Arribas‐Ayllon, Michael, et al.. (2016). Genetic Counselling for Psychiatric Disorders: Accounts of Psychiatric Health Professionals in the United Kingdom. Journal of Genetic Counseling. 25(6). 1243–1255. 13 indexed citations
8.
Arribas‐Ayllon, Michael. (2015). Genetic testing and human subjectivity. Social and Personality Psychology Compass. 9(6). 213–224. 1 indexed citations
9.
Arribas‐Ayllon, Michael & Srikant Sarangi. (2014). Counselling uncertainty: genetics professionals’ accounts of (non)directiveness and trust/distrust. Health Risk & Society. 16(2). 171–184. 21 indexed citations
10.
Arribas‐Ayllon, Michael, Srikant Sarangi, & Angus Clarke. (2013). Genetic Testing. 4 indexed citations
11.
Arribas‐Ayllon, Michael & Andrew Bartlett. (2013). Sociological Ambivalence and the Order of Scientific Knowledge. Sociology. 48(2). 335–351. 14 indexed citations
12.
Arribas‐Ayllon, Michael. (2011). The ethics of disclosing genetic diagnosis for Alzheimer's disease: do we need a new paradigm?. British Medical Bulletin. 100(1). 7–21. 26 indexed citations
13.
Arribas‐Ayllon, Michael, Srikant Sarangi, & Angus Clarke. (2011). Promissory Strategies of Personalisation in the Commercialisation of Genomic Knowledge. Communication & Medicine. 8(1). 53–66. 13 indexed citations
14.
Arribas‐Ayllon, Michael, Srikant Sarangi, & Angus Clarke. (2011). Genetic Testing: Accounts of Autonomy, Responsibility and Blame. ORCA Online Research @Cardiff (Cardiff University). 37 indexed citations
15.
Arribas‐Ayllon, Michael, Katie Featherstone, & Paul Atkinson. (2010). The practical ethics of genetic responsibility: Non-disclosure and the autonomy of affect. Social Theory & Health. 9(1). 3–23. 30 indexed citations
16.
Arribas‐Ayllon, Michael. (2010). Beyond pessimism: The dialectic of promise and complexity in genomic research. ORCA Online Research @Cardiff. 6(2). 3 indexed citations
17.
Arribas‐Ayllon, Michael, Srikant Sarangi, & Angus Clarke. (2009). Professional Ambivalence: Accounts of Ethical Practice in Childhood Genetic Testing. Journal of Genetic Counseling. 18(2). 173–184. 23 indexed citations
18.
Bartlett, Andrew & Michael Arribas‐Ayllon. (2009). What Is Big about the Science of Psychiatric Genetics. 1 indexed citations
19.
Arribas‐Ayllon, Michael, Srikant Sarangi, & Angus Clarke. (2008). Managing self-responsibility through other-oriented blame: Family accounts of genetic testing. Social Science & Medicine. 66(7). 1521–1532. 49 indexed citations
20.
Arribas‐Ayllon, Michael, Srikant Sarangi, & Angus Clarke. (2007). The micropolitics of responsibility vis‐à‐vis autonomy: parental accounts of childhood genetic testing and (non)disclosure. Sociology of Health & Illness. 30(2). 255–271. 27 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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