A P Pickerill

712 total citations
11 papers, 563 citations indexed

About

A P Pickerill is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Immunology. According to data from OpenAlex, A P Pickerill has authored 11 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Immunology. Recurrent topics in A P Pickerill's work include Diabetes and associated disorders (5 papers), Immunodeficiency and Autoimmune Disorders (4 papers) and Thyroid Disorders and Treatments (4 papers). A P Pickerill is often cited by papers focused on Diabetes and associated disorders (5 papers), Immunodeficiency and Autoimmune Disorders (4 papers) and Thyroid Disorders and Treatments (4 papers). A P Pickerill collaborates with scholars based in United Kingdom and Nepal. A P Pickerill's co-authors include Anthony P. Weetman, P. F. Watson, Adrian M. Whatmore, Christopher G. Dowson, Robert C. George, Androulla Efstratiou, Karen Broughton, R. Davies, Richard S. McIntosh and A. P. Weetman and has published in prestigious journals such as The Journal of Immunology, The Journal of Clinical Endocrinology & Metabolism and Infection and Immunity.

In The Last Decade

A P Pickerill

11 papers receiving 542 citations

Peers

Countries citing papers authored by A P Pickerill

Since Specialization

Citations

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

Fields of papers citing papers by A P Pickerill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A P Pickerill

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

All Works

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11 of 11 papers shown

#	Work	Indexed citations
1	Genetic Relationships between Clinical Isolates of Streptococcus pneumoniae , Streptococcus oralis , and Streptococcus mitis : Characterization of “Atypical” Pneumococci and Organisms Allied to S. mitis Harboring S. pneumoniae Virulence Factor-Encoding Genes 2000 ·Infection and Immunity ·Adrian M. Whatmore, Androulla Efstratiou, A P Pickerill, Karen Broughton, (unknown), (unknown), Robert C. George, Christopher G. Dowson	218
2	Population biology of Streptococcus pneumoniae isolated from oropharyngeal carriage and invasive disease The GenBank accession numbers for the sequences of the trpA/B alleles determined in this study are AF157817 to AF157826. 1999 ·Microbiology ·Christine Müller‐Graf, Adrian M. Whatmore, Samantha J. King, Krzysztof Trzciński, A P Pickerill, Neil Doherty, John R. Paul, David Griffiths, (unknown), Christopher G. Dowson	42
3	Semi-quantitative analysis of interleukin-1α, interleukin-6 and interleukin-8 mRNA expression by human thyrocytes 1995 ·Journal of Molecular Endocrinology ·P. F. Watson, A P Pickerill, Rhian Davies, A. P. Weetman	42
4	Lack of association between a polymorphism in the coding region of the thyrotropin receptor gene and Graves' disease. 1995 ·The Journal of Clinical Endocrinology & Metabolism ·P. F. Watson, Anthony R. French, A P Pickerill, Richard S. McIntosh, Anthony P. Weetman	32
5	Analysis of cytokine gene expression in Graves' disease and multinodular goiter. 1994 ·The Journal of Clinical Endocrinology & Metabolism ·P. F. Watson, A P Pickerill, R. Davies, Anthony P. Weetman	87
6	Treatment of Graves' disease with the block-replace regimen of antithyroid drugs: the effect of treatment duration and immunogenetic susceptibility on relapse 1994 ·QJM ·A. P. Weetman, A P Pickerill, Peter H. Watson, Krishna Chatterjee, Owen M. Edwards	20
7	Treatment of Graves' disease with the block-replace regimen of antithyroid drugs: the effect of treatment duration and immunogenetic susceptibility on relapse. 1994 ·PubMed ·Anthony P. Weetman, A P Pickerill, (unknown), Krishna Chatterjee, Owen M. Edwards	49
8	The γδ T cell repertoire in Graves' disease and multinodular goitre 1993 ·Clinical & Experimental Immunology ·Richard S. McIntosh, Nikhil Tandon, A P Pickerill, Richard J. Davies, David Barnett, Anthony P. Weetman	5
9	T cell receptor β chain gene polymorphisms in Graves' disease 1993 ·European Journal of Endocrinology ·A P Pickerill, (unknown), Nikhil Tandon, Anthony P. Weetman	16
10	IL-2 receptor-positive intrathyroidal lymphocytes in Graves' disease. Analysis of V alpha transcript microheterogeneity. 1993 ·The Journal of Immunology ·Richard S. McIntosh, (unknown), A P Pickerill, (unknown), David Barnett, A P Weetman	24
11	No restriction of intrathyroidal T cell receptor Vα families in the thyroid of Graves' disease 1993 ·Clinical & Experimental Immunology ·Richard S. McIntosh, P. F. Watson, A P Pickerill, Richard Davies, Anthony P. Weetman	28

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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