P Chapman

525 total citations
7 papers, 102 citations indexed

About

P Chapman is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, P Chapman has authored 7 papers receiving a total of 102 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Physiology and 3 papers in Genetics. Recurrent topics in P Chapman's work include Genetic Associations and Epidemiology (2 papers), Pancreatic function and diabetes (2 papers) and Adipose Tissue and Metabolism (2 papers). P Chapman is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Pancreatic function and diabetes (2 papers) and Adipose Tissue and Metabolism (2 papers). P Chapman collaborates with scholars based in United Kingdom, Singapore and Sweden. P Chapman's co-authors include Julie A. Chambers, Ian D. Waddell, David S.W. Boam, Qi Cheng, David M. Smith, Terence P. Herbert, Tracy Gorman, Alice Yu, Karl Erik Hellström and Ingegerd Hellström and has published in prestigious journals such as International Journal of Cancer, Journal of science and medicine in sport and Molecular Metabolism.

In The Last Decade

P Chapman

6 papers receiving 99 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P Chapman United Kingdom	5	49	39	22	20	20	7	102
Sami Alkayyali Sweden	4	37 0.8×	43 1.1×	21 1.0×	9 0.5×	13 0.7×	4	96
Marion Marchand France	7	56 1.1×	57 1.5×	48 2.2×	7 0.3×	16 0.8×	7	124
Andrianos M. Yiorkas United Kingdom	4	33 0.7×	36 0.9×	22 1.0×	10 0.5×	26 1.3×	7	116
Tongfu Xu China	6	37 0.8×	37 0.9×	20 0.9×	18 0.9×	8 0.4×	7	106
Raphaël Boutry France	7	34 0.7×	52 1.3×	19 0.9×	7 0.3×	28 1.4×	10	96
S.-K. Choi South Korea	3	32 0.7×	78 2.0×	11 0.5×	45 2.3×	30 1.5×	9	191
Alyssa Hayashi New Zealand	5	23 0.5×	35 0.9×	37 1.7×	6 0.3×	22 1.1×	6	115
Konstantinos Rouskas Greece	7	31 0.6×	35 0.9×	56 2.5×	8 0.4×	40 2.0×	12	135
Anne Bingham United Kingdom	4	13 0.3×	17 0.4×	19 0.9×	19 0.9×	10 0.5×	5	69
Gaetano Paride Arcidiacono Italy	5	24 0.5×	34 0.9×	7 0.3×	16 0.8×	19 0.9×	10	88

Countries citing papers authored by P Chapman

Since Specialization

Citations

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

Fields of papers citing papers by P Chapman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P Chapman

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Davies, Alison, Antony Adamson, P Chapman, et al.. (2019). Global transcriptomic analysis of the arcuate nucleus following chronic glucocorticoid treatment. Molecular Metabolism. 26. 5–17. 15 indexed citations

2.

Cheng, Qi, Tracy Gorman, P Chapman, et al.. (2013). ER stress in rodent islets of Langerhans is concomitant with obesity and β-cell compensation but not with β-cell dysfunction and diabetes. Nutrition and Diabetes. 3(10). e93–e93. 25 indexed citations

3.

Johnson, Nathan A., et al.. (2010). Effect of acute exercise and dietary manipulation on hepatic triglycerides. Journal of science and medicine in sport. 13. e85–e85.

4.

Chapman, P, et al.. (2005). Differential gene expression between Zucker Fatty rats and Zucker Diabetic Fatty rats: a potential role for the immediate-early gene Egr-1 in regulation of beta cell proliferation. Journal of Molecular Endocrinology. 35(1). 13–25. 43 indexed citations

5.

Shephard, Neil, Milena Falcaro, Eleftheria Zeggini, et al.. (2003). Linkage analysis of cross-sectional and longitudinally derived phenotypic measures to identify loci influencing blood pressure. BMC Genetics. 4(S1). S26–S26. 4 indexed citations

6.

Barton, Anne, et al.. (2001). The Single‐Nucleotide Polymorphism Lottery: How Useful are a Few Common SNPs in Identifying Disease‐Associated Alleles?. Genetic Epidemiology. 21(S1). S384–9. 5 indexed citations

7.

Hellström, Ingegerd, et al.. (1982). Monoclonal antibodies to two mouse bladder carcinoma antigens. International Journal of Cancer. 29(2). 175–180. 10 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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