Thomas A. Leonard

2.7k total citations
56 papers, 1.8k citations indexed

About

Thomas A. Leonard is a scholar working on Molecular Biology, Cell Biology and Mechanics of Materials. According to data from OpenAlex, Thomas A. Leonard has authored 56 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 12 papers in Cell Biology and 5 papers in Mechanics of Materials. Recurrent topics in Thomas A. Leonard's work include Protein Kinase Regulation and GTPase Signaling (16 papers), PI3K/AKT/mTOR signaling in cancer (7 papers) and Cellular transport and secretion (7 papers). Thomas A. Leonard is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (16 papers), PI3K/AKT/mTOR signaling in cancer (7 papers) and Cellular transport and secretion (7 papers). Thomas A. Leonard collaborates with scholars based in Austria, United States and United Kingdom. Thomas A. Leonard's co-authors include Linda Truebestein, P.J.G. Butler, Jan Löwe, James H. Hurley, Ivan Yudushkin, Michael Ebner, John E. Burke, Bartosz Różycki, Gerhard Hummer and Layla Saidi and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Thomas A. Leonard

55 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas A. Leonard Austria 19 1.2k 446 314 202 112 56 1.8k
Mark W. Maciejewski United States 28 1.7k 1.4× 378 0.8× 265 0.8× 144 0.7× 99 0.9× 55 2.4k
Deryck J. Mills Germany 35 3.1k 2.5× 318 0.7× 179 0.6× 199 1.0× 150 1.3× 76 3.9k
Moran Jerabek‐Willemsen Germany 15 1.5k 1.2× 169 0.4× 208 0.7× 77 0.4× 125 1.1× 16 2.3k
Keisaku Yamane Japan 30 1.1k 0.9× 758 1.7× 114 0.4× 427 2.1× 212 1.9× 127 2.7k
Tillmann Pape United Kingdom 27 2.3k 1.9× 702 1.6× 134 0.4× 213 1.1× 98 0.9× 34 2.8k
Shixin Liu United States 27 1.4k 1.1× 286 0.6× 178 0.6× 254 1.3× 118 1.1× 81 2.4k
Yihua Huang China 22 1.4k 1.1× 533 1.2× 132 0.4× 98 0.5× 36 0.3× 44 2.1k
Miklós Cserző Hungary 15 1.1k 0.9× 225 0.5× 106 0.3× 128 0.6× 197 1.8× 25 1.7k
Logan W. Donaldson Canada 23 1.6k 1.3× 247 0.6× 147 0.5× 292 1.4× 104 0.9× 52 2.1k
Timothy H. Tran United States 18 2.2k 1.8× 406 0.9× 340 1.1× 187 0.9× 132 1.2× 34 3.0k

Countries citing papers authored by Thomas A. Leonard

Since Specialization
Citations

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

Fields of papers citing papers by Thomas A. Leonard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas A. Leonard

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

All Works

20 of 20 papers shown
1.
Link, Gisela, et al.. (2023). PKD autoinhibition in trans regulates activation loop autophosphorylation in cis. Proceedings of the National Academy of Sciences. 120(7). e2212909120–e2212909120. 6 indexed citations
2.
Truebestein, Linda, et al.. (2023). Structure and regulation of the myotonic dystrophy kinase-related Cdc42-binding kinase. Structure. 31(4). 435–446.e4. 3 indexed citations
3.
Leonard, Thomas A., et al.. (2023). A critical evaluation of protein kinase regulation by activation loop autophosphorylation. eLife. 12. 26 indexed citations
4.
Leonard, Thomas A., Martin Loose, & Sascha Martens. (2023). The membrane surface as a platform that organizes cellular and biochemical processes. Developmental Cell. 58(15). 1315–1332. 27 indexed citations
5.
Jenkins, Meredith L., et al.. (2022). Molecular basis for the recruitment of the Rab effector protein WDR44 by the GTPase Rab11. Journal of Biological Chemistry. 299(1). 102764–102764. 4 indexed citations
6.
Fleming, Kaelin D., et al.. (2022). Activation of the essential kinase PDK1 by phosphoinositide-driven trans-autophosphorylation. Nature Communications. 13(1). 1874–1874. 54 indexed citations
7.
Truebestein, Linda, et al.. (2021). In vitro reconstitution of Sgk3 activation by phosphatidylinositol 3-phosphate. Journal of Biological Chemistry. 297(2). 100919–100919. 9 indexed citations
8.
Truebestein, Linda, Dorothea Anrather, Markus Hartl, et al.. (2021). Structure of autoinhibited Akt1 reveals mechanism of PIP3-mediated activation. Proceedings of the National Academy of Sciences. 118(33). 57 indexed citations
9.
Truebestein, Linda, et al.. (2020). It Takes Two to Tango: Activation of Protein Kinase D by Dimerization. BioEssays. 42(4). e1900222–e1900222. 13 indexed citations
10.
Grishkovskaya, Irina, Július Košťan, Melissa A. Graewert, et al.. (2020). Structures of three MORN repeat proteins and a re-evaluation of the proposed lipid-binding properties of MORN repeats. PLoS ONE. 15(12). e0242677–e0242677. 17 indexed citations
11.
Leonard, Thomas A., et al.. (2019). Lipid-dependent Akt-ivity: where, when, and how. Biochemical Society Transactions. 47(3). 897–908. 25 indexed citations
12.
Gossenreiter, Thomas, et al.. (2019). A ubiquitin-like domain controls protein kinase D dimerization and activation by trans-autophosphorylation. Journal of Biological Chemistry. 294(39). 14422–14441. 14 indexed citations
13.
Rathinaswamy, Manoj Kumar, et al.. (2018). Conformational sampling of membranes by Akt controls its activation and inactivation. Proceedings of the National Academy of Sciences. 115(17). E3940–E3949. 73 indexed citations
14.
Ruiter, Anita de, et al.. (2017). A switch in nucleotide affinity governs activation of the Src and Tec family kinases. Scientific Reports. 7(1). 17405–17405. 14 indexed citations
15.
Truebestein, Linda & Thomas A. Leonard. (2016). Coiled‐coils: The long and short of it. BioEssays. 38(9). 903–916. 219 indexed citations
16.
Truebestein, Linda, et al.. (2015). A molecular ruler regulates cytoskeletal remodelling by the Rho kinases. Nature Communications. 6(1). 10029–10029. 54 indexed citations
17.
Leonard, Thomas A. & James H. Hurley. (2011). Regulation of protein kinases by lipids. Current Opinion in Structural Biology. 21(6). 785–791. 46 indexed citations
18.
Oliva, María A., Sven Halbedel, Stefan M.V. Freund, et al.. (2010). Features critical for membrane binding revealed by DivIVA crystal structure. The EMBO Journal. 29(12). 1988–2001. 101 indexed citations
19.
Leonard, Thomas A., Jakob Møller‐Jensen, & Jan Löwe. (2005). Towards understanding the molecular basis of bacterial DNA segregation. Philosophical Transactions of the Royal Society B Biological Sciences. 360(1455). 523–535. 63 indexed citations
20.
Leonard, Thomas A. & Hugh Glaser. (2001). Large scale acquisition and maintenance from the web without source access. ePrints Soton (University of Southampton). 14 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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