M. Powell

580 total citations
10 papers, 410 citations indexed

About

M. Powell is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, M. Powell has authored 10 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Genetics and 3 papers in Surgery. Recurrent topics in M. Powell's work include Diabetes and associated disorders (4 papers), Adrenal Hormones and Disorders (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). M. Powell is often cited by papers focused on Diabetes and associated disorders (4 papers), Adrenal Hormones and Disorders (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). M. Powell collaborates with scholars based in United Kingdom, United States and Australia. M. Powell's co-authors include Jadwiga Furmaniak, Bernard Rees Smith, Corrado Betterle, M Volpato, Joanna Sawicka, Louise Prentice, John O. Link, John H. Kenten, Richard Massey and Shawn E. Lupold and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Chemistry and Diabetic Medicine.

In The Last Decade

M. Powell

10 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Powell United Kingdom 8 220 127 126 43 40 10 410
John R. Pepperell United States 12 44 0.2× 34 0.3× 84 0.7× 63 1.5× 60 1.5× 26 381
Pauline E. McEwan United Kingdom 10 108 0.5× 68 0.5× 110 0.9× 54 1.3× 37 0.9× 16 408
François‐Xavier Mauvais France 13 36 0.2× 27 0.2× 121 1.0× 74 1.7× 125 3.1× 27 378
Shiyama Mudali United States 7 99 0.5× 50 0.4× 89 0.7× 34 0.8× 66 1.6× 7 480
P. Martin Petkovich Canada 9 51 0.2× 91 0.7× 199 1.6× 23 0.5× 22 0.6× 11 375
Mayumi Enya Japan 10 100 0.5× 191 1.5× 172 1.4× 153 3.6× 6 0.1× 22 388
Patricia Pons Argentina 12 50 0.2× 25 0.2× 92 0.7× 15 0.3× 13 0.3× 26 392
Stan Bastiras Australia 9 92 0.4× 29 0.2× 115 0.9× 47 1.1× 21 0.5× 12 337
Tadao Okano Japan 11 46 0.2× 18 0.1× 64 0.5× 71 1.7× 6 0.1× 26 333
Shigetaka Nakamura Japan 11 43 0.2× 82 0.6× 185 1.5× 23 0.5× 60 1.5× 47 356

Countries citing papers authored by M. Powell

Since Specialization
Citations

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

Fields of papers citing papers by M. Powell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Powell

This figure shows the co-authorship network connecting the top 25 collaborators of M. Powell. A scholar is included among the top collaborators of M. Powell 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 M. Powell. M. Powell 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
2.
Petruželková, Lenka, Kateřina Štechová, Jan Lebl, et al.. (2013). The dynamic changes of zinc transporter 8 autoantibodies in Czech children from the onset of Type 1 diabetes mellitus. Diabetic Medicine. 31(2). 165–171. 31 indexed citations
3.
Sanders, Paul W., Stuart Young, Jane Sanders, et al.. (2011). Crystal structure of the TSH receptor bound to a blocking type TSHR autoantibody. Journal of Molecular Endocrinology. 46(2). 81–99. 86 indexed citations
4.
Evans, Michele K., Lakdasa Premawardhana, Jane Sanders, et al.. (2005). Isolation and characterisation of a human monoclonal autoantibody to the islet cell autoantigen IA-2. Journal of Autoimmunity. 24(4). 337–345. 8 indexed citations
5.
Hayakawa, Naohiko, Lakdasa Premawardhana, M. Powell, et al.. (2002). Isolation and Characterization of Human Monoclonal Autoantibodies to Glutamic Acid Decarboxylase. Autoimmunity. 35(5). 343–355. 14 indexed citations
6.
Taylor, G.L., Andrew Sullivan, Nathaniel Liddy, et al.. (2001). X-Ray Crystal Structure of a Monoclonal Antibody That Binds to a Major Autoantigenic Epitope on Thyroid Peroxidase. Thyroid. 11(12). 1091–1099. 8 indexed citations
7.
Sawicka, Joanna, Corrado Betterle, M. Powell, et al.. (1996). Autoantibodies to steroidogenic enzymes in autoimmune polyglandular syndrome, Addison's disease, and premature ovarian failure.. The Journal of Clinical Endocrinology & Metabolism. 81(5). 1871–1876. 155 indexed citations
8.
Ds, Alberts, Janine G. Einspahr, Mikel Aickin, et al.. (1994). Validation of proliferation indices as surrogate endpoint biomarkers.. PubMed. 19. 76–83. 4 indexed citations
9.
Kenten, John H., et al.. (1991). Rapid electrochemiluminescence assays of polymerase chain reaction products. Clinical Chemistry. 37(9). 1626–1632. 85 indexed citations
10.
Watts, Gerald F., et al.. (1989). Low-molecular-weight proteinuria in insulin-dependent diabetes mellitus: a study of the urinary excretion of beta 2-microglobulin and retinol-binding protein in alkalinized patients with and without microalbuminuria.. PubMed. 12(1). 31–6. 16 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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