Jon G.A. Steadman

431 total citations
7 papers, 278 citations indexed

About

Jon G.A. Steadman is a scholar working on Molecular Biology, Organic Chemistry and Endocrine and Autonomic Systems. According to data from OpenAlex, Jon G.A. Steadman has authored 7 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Organic Chemistry and 2 papers in Endocrine and Autonomic Systems. Recurrent topics in Jon G.A. Steadman's work include Protein Kinase Regulation and GTPase Signaling (4 papers), Melanoma and MAPK Pathways (4 papers) and Biochemical Analysis and Sensing Techniques (2 papers). Jon G.A. Steadman is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (4 papers), Melanoma and MAPK Pathways (4 papers) and Biochemical Analysis and Sensing Techniques (2 papers). Jon G.A. Steadman collaborates with scholars based in United Kingdom and United States. Jon G.A. Steadman's co-authors include David K. Dean, David M. Wilson, Susannah Davies, Andrew K. Takle, Alessandra Gaiba, Frank D. King, A. Naylor, Alastair D. Reith, Murray J. B. Brown and Peter J. Lovell and has published in prestigious journals such as Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Jon G.A. Steadman

7 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon G.A. Steadman United Kingdom 6 175 103 29 24 21 7 278
Reina Natero United States 8 123 0.7× 105 1.0× 30 1.0× 16 0.7× 2 0.1× 8 270
Alessandra Gaiba United Kingdom 8 295 1.7× 166 1.6× 37 1.3× 53 2.2× 2 0.1× 11 447
Koji Tomimoto Japan 11 217 1.2× 147 1.4× 34 1.2× 18 0.8× 4 0.2× 19 379
Qiao Sun China 7 138 0.8× 154 1.5× 34 1.2× 13 0.5× 4 0.2× 8 311
V.P. Gerskowitch United Kingdom 14 67 0.4× 178 1.7× 41 1.4× 18 0.8× 6 0.3× 29 426
Kenneth G. Kraus United States 9 129 0.7× 223 2.2× 12 0.4× 10 0.4× 55 2.6× 11 363
Evangelia Kotsikorou United States 12 88 0.5× 236 2.3× 74 2.6× 20 0.8× 10 0.5× 16 431
Robert J. Altenbach United States 15 239 1.4× 235 2.3× 9 0.3× 12 0.5× 7 0.3× 27 533
Jose L. Font United States 6 137 0.8× 188 1.8× 25 0.9× 11 0.5× 2 0.1× 8 344
Silvia Sgambellone Italy 10 145 0.8× 203 2.0× 24 0.8× 8 0.3× 8 0.4× 22 298

Countries citing papers authored by Jon G.A. Steadman

Since Specialization
Citations

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

Fields of papers citing papers by Jon G.A. Steadman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon G.A. Steadman. 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 Jon G.A. Steadman. The network helps show where Jon G.A. Steadman may publish in the future.

Co-authorship network of co-authors of Jon G.A. Steadman

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

All Works

7 of 7 papers shown
1.
Beswick, Paul, Andy Billinton, David K. Dean, et al.. (2010). Identification of 2-oxo-N-(phenylmethyl)-4-imidazolidinecarboxamide antagonists of the P2X7 receptor. Bioorganic & Medicinal Chemistry Letters. 20(22). 6370–6374. 25 indexed citations
2.
Witherington, Jason, Benjamin R. Bellenie, David K. Dean, et al.. (2008). Aryl sulphonyl amides as potent agonists of the growth hormone secretagogue (ghrelin) receptor. Bioorganic & Medicinal Chemistry Letters. 19(3). 684–687. 2 indexed citations
3.
Witherington, Jason, Michael A. Briggs, David K. Dean, et al.. (2008). Potent achiral agonists of the growth hormone secretagogue (ghrelin) receptor. Part 2: Lead optimisation. Bioorganic & Medicinal Chemistry Letters. 18(6). 2203–2205. 12 indexed citations
4.
Takle, Andrew K., Mark J. Bamford, Susannah Davies, et al.. (2008). The identification of potent, selective and CNS penetrant furan-based inhibitors of B-Raf kinase. Bioorganic & Medicinal Chemistry Letters. 18(15). 4373–4376. 20 indexed citations
5.
Bamford, Mark J., Nicholas Bailey, Susannah Davies, et al.. (2005). (1H-Imidazo[4,5-c]pyridin-2-yl)-1,2,5-oxadiazol-3-ylamine derivatives: A novel class of potent MSK-1-inhibitors. Bioorganic & Medicinal Chemistry Letters. 15(14). 3402–3406. 30 indexed citations
6.
Takle, Andrew K., Murray J. B. Brown, Susannah Davies, et al.. (2005). The identification of potent and selective imidazole-based inhibitors of B-Raf kinase. Bioorganic & Medicinal Chemistry Letters. 16(2). 378–381. 170 indexed citations
7.
Bamford, Mark J., Nicholas Bailey, Susannah Davies, et al.. (2005). (1H-Imidazo[4,5-c]pyridin-2-yl)-1,2,5-oxadiazol-3-ylamine derivatives: Further optimisation as highly potent and selective MSK-1-inhibitors. Bioorganic & Medicinal Chemistry Letters. 15(14). 3407–3411. 19 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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