Jane Bolton

669 total citations
10 papers, 523 citations indexed

About

Jane Bolton is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Jane Bolton has authored 10 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Molecular Biology. Recurrent topics in Jane Bolton's work include Thyroid Disorders and Treatments (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Hypothalamic control of reproductive hormones (2 papers). Jane Bolton is often cited by papers focused on Thyroid Disorders and Treatments (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Hypothalamic control of reproductive hormones (2 papers). Jane Bolton collaborates with scholars based in United Kingdom, Poland and Sri Lanka. Jane Bolton's co-authors include Jadwiga Furmaniak, Bernard Rees Smith, Jane Sanders, Tonya Richards, Michele K. Evans, Ricardo Núñez Miguel, Nobuhiro Nakatake, Paul W. Sanders, Janet M. Bradbury and Petros Perros and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Chemistry and Thyroid.

In The Last Decade

Jane Bolton

10 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane Bolton United Kingdom 9 370 201 107 101 94 10 523
Angela Kiddie United Kingdom 10 371 1.0× 207 1.0× 133 1.2× 85 0.8× 84 0.9× 10 489
Stuart Young United Kingdom 10 364 1.0× 117 0.6× 57 0.5× 171 1.7× 71 0.8× 10 463
Tonya Richards United Kingdom 13 671 1.8× 393 2.0× 231 2.2× 177 1.8× 157 1.7× 15 941
Nobuhiro Nakatake Japan 6 193 0.5× 157 0.8× 75 0.7× 37 0.4× 51 0.5× 14 312
Yumiko Mizutori Japan 8 218 0.6× 91 0.5× 50 0.5× 81 0.8× 94 1.0× 10 353
Toshiaki Ban Japan 8 185 0.5× 123 0.6× 103 1.0× 19 0.2× 38 0.4× 12 305
G. F. Fenzi Italy 10 270 0.7× 114 0.6× 41 0.4× 25 0.2× 61 0.6× 25 340
Angelo Molinaro Italy 13 169 0.5× 207 1.0× 14 0.1× 15 0.1× 164 1.7× 19 456
Raquel Rodrigues Portugal 11 122 0.3× 156 0.8× 11 0.1× 46 0.5× 114 1.2× 19 398
A. Fiumara Italy 7 266 0.7× 82 0.4× 20 0.2× 33 0.3× 69 0.7× 15 459

Countries citing papers authored by Jane Bolton

Since Specialization
Citations

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

Fields of papers citing papers by Jane Bolton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Bolton

This figure shows the co-authorship network connecting the top 25 collaborators of Jane Bolton. A scholar is included among the top collaborators of Jane Bolton 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 Jane Bolton. Jane Bolton 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
1.
Sanders, Jane, Dimitri Y. Chirgadze, Paul W. Sanders, et al.. (2007). Crystal Structure of the TSH Receptor in Complex with a Thyroid-Stimulating Autoantibody. Thyroid. 17(5). 395–410. 161 indexed citations
2.
Sanders, Jane, Ricardo Núñez Miguel, Jane Bolton, et al.. (2007). Molecular Interactions between the TSH Receptor and a Thyroid-Stimulating Monoclonal Autoantibody. Thyroid. 17(8). 699–706. 23 indexed citations
3.
Premawardhana, Lakdasa, CN Wijeyaratne, Mahen Wijesuriya, et al.. (2006). Islet cell, thyroid, adrenal and celiac disease related autoantibodies in patients with Type 1 diabetes from Sri Lanka. Journal of Endocrinological Investigation. 29(11). 968–974. 12 indexed citations
4.
Sanders, Jane, Jane Bolton, Paul W. Sanders, et al.. (2006). Effects of TSH Receptor Mutations on Binding and Biological Activity of Monoclonal Antibodies and TSH. Thyroid. 16(12). 1195–1206. 41 indexed citations
5.
Sanders, Jane, Jennifer Jeffreys, Jane Bolton, et al.. (2005). Characteristics of a Monoclonal Antibody to the Thyrotropin Receptor that Acts as a Powerful Thyroid-Stimulating Autoantibody Antagonist. Thyroid. 15(7). 672–682. 39 indexed citations
6.
Smith, Bernard Rees, Jane Bolton, Stephen G. Young, et al.. (2004). A New Assay for Thyrotropin Receptor Autoantibodies. Thyroid. 14(10). 830–835. 62 indexed citations
7.
Smith, Bernard Rees, Jane Bolton, Stuart Young, et al.. (2004). A New Assay for Thyrotropin Receptor Autoantibodies. Thyroid. 14(10). 830–835. 84 indexed citations
8.
Bolton, Jane, et al.. (1999). Measurement of Thyroid-stimulating Hormone Receptor Autoantibodies by ELISA. Clinical Chemistry. 45(12). 2285–2287. 41 indexed citations
9.
Sanders, Jane, Yasuo Oda, Angela Kiddie, et al.. (1999). The Interaction of TSH Receptor Autoantibodies with 125I-Labelled TSH Receptor. The Journal of Clinical Endocrinology & Metabolism. 84(10). 3797–3802. 58 indexed citations
10.
Sardi, Armando, George M. Anderson, Jane Bolton, et al.. (1991). Low-dose cyclophosphamide enhances helper-to-non-helper ratios.. PubMed. 15(3). 217–24. 2 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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