Thomas L. Joseph

1.1k total citations
19 papers, 825 citations indexed

About

Thomas L. Joseph is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Thomas L. Joseph has authored 19 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Oncology and 4 papers in Organic Chemistry. Recurrent topics in Thomas L. Joseph's work include Cancer-related Molecular Pathways (12 papers), Ubiquitin and proteasome pathways (5 papers) and Chemical Synthesis and Analysis (4 papers). Thomas L. Joseph is often cited by papers focused on Cancer-related Molecular Pathways (12 papers), Ubiquitin and proteasome pathways (5 papers) and Chemical Synthesis and Analysis (4 papers). Thomas L. Joseph collaborates with scholars based in Singapore, United Kingdom and United States. Thomas L. Joseph's co-authors include David P. Lane, Chandra Verma, Christopher J. Brown, Soo Tng Quah, Farid J. Ghadessy, Arumugam Madhumalar, Larisa Yurlova, Kourosh Zolghadr, Meng Ling Choong and Amanda M. Goh and has published in prestigious journals such as Journal of the American Chemical Society, Genes & Development and PLoS ONE.

In The Last Decade

Thomas L. Joseph

19 papers receiving 816 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 L. Joseph Singapore 14 666 260 255 108 102 19 825
Burkhardt Laufer Germany 15 743 1.1× 212 0.8× 245 1.0× 37 0.3× 232 2.3× 23 1.1k
Timothy W. Craven United States 16 711 1.1× 105 0.4× 292 1.1× 59 0.5× 105 1.0× 21 832
Susan E. Cellitti United States 13 729 1.1× 108 0.4× 228 0.9× 130 1.2× 151 1.5× 15 917
Adrian Glas Germany 9 833 1.3× 163 0.6× 349 1.4× 47 0.4× 136 1.3× 10 954
David Y. Jackson United States 16 835 1.3× 204 0.8× 455 1.8× 55 0.5× 224 2.2× 21 1.2k
Douglas S. Daniels United States 15 1.2k 1.8× 99 0.4× 271 1.1× 105 1.0× 55 0.5× 23 1.4k
Shaun D. Fontaine United States 14 397 0.6× 194 0.7× 183 0.7× 56 0.5× 155 1.5× 23 750
Hans‐Jürgen Musiol Germany 20 792 1.2× 144 0.6× 347 1.4× 199 1.8× 97 1.0× 33 1.1k
Justin T. Ernst United States 13 1.1k 1.6× 145 0.6× 636 2.5× 82 0.8× 122 1.2× 20 1.3k
Daniel P. Teufel United Kingdom 15 733 1.1× 309 1.2× 59 0.2× 90 0.8× 100 1.0× 17 853

Countries citing papers authored by Thomas L. Joseph

Since Specialization
Citations

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

Fields of papers citing papers by Thomas L. Joseph

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas L. Joseph

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

All Works

19 of 19 papers shown
1.
Nguyen, Minh N., Neeladri Sen, Meiyin Lin, et al.. (2019). Discovering Putative Protein Targets of Small Molecules: A Study of the p53 Activator Nutlin. Journal of Chemical Information and Modeling. 59(4). 1529–1546. 9 indexed citations
2.
Kannan, Srinivasaraghavan, Joseph Cherian, Thomas L. Joseph, et al.. (2017). Small Molecules Targeting the Inactive Form of the Mnk1/2 Kinases. ACS Omega. 2(11). 7881–7891. 13 indexed citations
3.
Liu, Yun, et al.. (2017). Role of the N-terminal lid in regulating the interaction of phosphorylated MDMX with p53. Oncotarget. 8(68). 112825–112840. 10 indexed citations
4.
Coffill, Cynthia R., Alison Lee, Thomas L. Joseph, et al.. (2016). The p53–Mdm2 interaction and the E3 ligase activity of Mdm2/Mdm4 are conserved from lampreys to humans. Genes & Development. 30(3). 281–292. 31 indexed citations
5.
Lama, Dilraj, Christopher J. Brown, Thomas L. Joseph, et al.. (2016). Water-Bridge Mediates Recognition of mRNA Cap in eIF4E. Structure. 25(1). 188–194. 8 indexed citations
6.
7.
Wongsantichon, Jantana, Robert Robinson, Thomas L. Joseph, et al.. (2014). Structure of a Stapled Peptide Antagonist Bound to Nutlin-Resistant Mdm2. PLoS ONE. 9(8). e104914–e104914. 28 indexed citations
8.
Sim, Adelene Y. L., Thomas L. Joseph, David P. Lane, & Chandra Verma. (2014). Mechanism of Stapled Peptide Binding to MDM2: Possible Consequences for Peptide Design. Journal of Chemical Theory and Computation. 10(4). 1753–1761. 13 indexed citations
9.
Goh, Walter L., Min Yen Lee, Thomas L. Joseph, et al.. (2014). Molecular Rotors As Conditionally Fluorescent Labels for Rapid Detection of Biomolecular Interactions. Journal of the American Chemical Society. 136(17). 6159–6162. 97 indexed citations
10.
Lau, Yu Heng, Peterson de Andrade, Maxim Rossmann, et al.. (2014). Functionalised staple linkages for modulating the cellular activity of stapled peptides. Chemical Science. 5(5). 1804–1809. 170 indexed citations
11.
Joseph, Thomas L., Adelene Y. L. Sim, Larisa Yurlova, et al.. (2013). In Vitro Selection of Mutant HDM2 Resistant to Nutlin Inhibition. PLoS ONE. 8(4). e62564–e62564. 24 indexed citations
12.
ElSawy, Karim M., Chandra Verma, Thomas L. Joseph, et al.. (2013). On the interaction mechanisms of a p53 peptide and nutlin with the MDM2 and MDMX proteins: A Brownian dynamics study. Cell Cycle. 12(3). 394–404. 34 indexed citations
13.
Joseph, Thomas L., Ling Li, Larisa Yurlova, et al.. (2013). Inhibition of Nutlin-Resistant HDM2 Mutants by Stapled Peptides. PLoS ONE. 8(11). e81068–e81068. 22 indexed citations
14.
Joseph, Thomas L., et al.. (2012). Stapled BH3 Peptides against MCL-1: Mechanism and Design Using Atomistic Simulations. PLoS ONE. 7(8). e43985–e43985. 38 indexed citations
15.
Brown, Christopher J., Soo Tng Quah, Amanda M. Goh, et al.. (2012). Stapled Peptides with Improved Potency and Specificity That Activate p53. ACS Chemical Biology. 8(3). 506–512. 169 indexed citations
16.
Kreisberg, Jason F., Thomas L. Joseph, Jing Wang, et al.. (2012). Growth Inhibition of Pathogenic Bacteria by Sulfonylurea Herbicides. Antimicrobial Agents and Chemotherapy. 57(3). 1513–1517. 23 indexed citations
17.
Medda, Federico, Thomas L. Joseph, Lisa Pirrie, et al.. (2011). N1-Benzyl substituted cambinol analogues as isozyme selective inhibitors of the sirtuin family of protein deacetylases. MedChemComm. 2(7). 611–611. 12 indexed citations
18.
Joseph, Thomas L., David P. Lane, & Chandra Verma. (2010). Stapled peptides in the p53 pathway: Computer simulations reveal novel interactions of the staples with the target protein. Cell Cycle. 9(22). 4560–4568. 41 indexed citations
19.
Joseph, Thomas L., et al.. (2010). Differential binding of p53 and nutlin to MDM2 and MDMX: Computational studies. Cell Cycle. 9(6). 1167–1181. 78 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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