D.T. Gewirth

3.5k total citations
43 papers, 2.7k citations indexed

About

D.T. Gewirth is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, D.T. Gewirth has authored 43 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 11 papers in Cell Biology and 9 papers in Genetics. Recurrent topics in D.T. Gewirth's work include Heat shock proteins research (22 papers), Protein Structure and Dynamics (13 papers) and Endoplasmic Reticulum Stress and Disease (10 papers). D.T. Gewirth is often cited by papers focused on Heat shock proteins research (22 papers), Protein Structure and Dynamics (13 papers) and Endoplasmic Reticulum Stress and Disease (10 papers). D.T. Gewirth collaborates with scholars based in United States, Belgium and Italy. D.T. Gewirth's co-authors include D.E. Dollins, Robert M. Immormino, P.L. Shaffer, Frank Claessens, Arif Jivan, Gabriela Chiosis, J.J. Warren, S. Brunie, Paul B. Sigler and Jeffrey T. Bolin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

D.T. Gewirth

42 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.T. Gewirth United States 27 2.1k 492 481 468 318 43 2.7k
Martin Renatus United States 26 3.5k 1.7× 478 1.0× 748 1.6× 367 0.8× 167 0.5× 39 4.6k
Mary E. McGrath United States 25 1.6k 0.7× 154 0.3× 274 0.6× 571 1.2× 129 0.4× 37 2.7k
John Sensintaffar United States 17 2.0k 0.9× 219 0.4× 480 1.0× 156 0.3× 294 0.9× 29 2.8k
Scott J. Snipas United States 31 2.8k 1.3× 415 0.8× 841 1.7× 224 0.5× 218 0.7× 58 4.0k
Andrew G. Stephen United States 32 2.8k 1.3× 406 0.8× 251 0.5× 171 0.4× 86 0.3× 92 3.6k
Michael D. Schaber United States 28 3.0k 1.4× 866 1.8× 207 0.4× 208 0.4× 94 0.3× 38 3.7k
Nicola O’Reilly United Kingdom 29 2.3k 1.1× 559 1.1× 322 0.7× 381 0.8× 54 0.2× 56 3.2k
Ursula Schulze‐Gahmen United States 25 1.8k 0.8× 275 0.6× 225 0.5× 86 0.2× 201 0.6× 38 2.5k
Ujwal Shinde United States 34 2.0k 0.9× 362 0.7× 209 0.4× 341 0.7× 29 0.1× 80 3.0k
Erinna F. Lee Australia 37 4.4k 2.1× 272 0.6× 948 2.0× 154 0.3× 200 0.6× 73 5.5k

Countries citing papers authored by D.T. Gewirth

Since Specialization
Citations

This map shows the geographic impact of D.T. Gewirth'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 D.T. Gewirth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.T. Gewirth more than expected).

Fields of papers citing papers by D.T. Gewirth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.T. Gewirth. 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 D.T. Gewirth. The network helps show where D.T. Gewirth may publish in the future.

Co-authorship network of co-authors of D.T. Gewirth

This figure shows the co-authorship network connecting the top 25 collaborators of D.T. Gewirth. A scholar is included among the top collaborators of D.T. Gewirth 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 D.T. Gewirth. D.T. Gewirth 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.
Wang, Yi, A. Bates, Robert M. McCarrick, et al.. (2024). Structural transitions modulate the chaperone activities of Grp94. Proceedings of the National Academy of Sciences. 121(12). e2309326121–e2309326121. 14 indexed citations
2.
Que, Nanette L. S., et al.. (2024). Selective Inhibition of hsp90 Paralogs: Uncovering the Role of Helix 1 in Grp94‐Selective Ligand Binding. Proteins Structure Function and Bioinformatics. 93(3). 654–672. 2 indexed citations
3.
Metelli, Alessandra, Bill X. Wu, Brian Riesenberg, et al.. (2020). Thrombin contributes to cancer immune evasion via proteolysis of platelet-bound GARP to activate LTGF-β. Science Translational Medicine. 12(525). 91 indexed citations
4.
Huck, John D., Nanette L. S. Que, Sahil Sharma, et al.. (2019). Structures of Hsp90α and Hsp90β bound to a purine‐scaffold inhibitor reveal an exploitable residue for drug selectivity. Proteins Structure Function and Bioinformatics. 87(10). 869–877. 11 indexed citations
5.
Huck, John D., Nanette L. S. Que, Robert M. Immormino, et al.. (2019). NECA derivatives exploit the paralog-specific properties of the site 3 side pocket of Grp94, the endoplasmic reticulum Hsp90. Journal of Biological Chemistry. 294(44). 16010–16019. 18 indexed citations
6.
Fiandalo, Michael V., D.T. Gewirth, & James L. Mohler. (2018). Potential impact of combined inhibition of 3α-oxidoreductases and 5α-reductases on prostate cancer. Asian journal of urology. 6(1). 50–56. 7 indexed citations
7.
Wang, Tai, Anna Rodina, Mark Dunphy, et al.. (2018). Chaperome heterogeneity and its implications for cancer study and treatment. Journal of Biological Chemistry. 294(6). 2162–2179. 28 indexed citations
8.
Dalal, Kush, Meixia Che, Aishwariya Sharma, et al.. (2017). Bypassing Drug Resistance Mechanisms of Prostate Cancer with Small Molecules that Target Androgen Receptor–Chromatin Interactions. Molecular Cancer Therapeutics. 16(10). 2281–2291. 27 indexed citations
9.
Que, Nanette L. S., Hong Feng, John D. Huck, et al.. (2016). Exploring the Functional Complementation between Grp94 and Hsp90. PLoS ONE. 11(11). e0166271–e0166271. 9 indexed citations
10.
Gewirth, D.T.. (2016). Paralog Specific Hsp90 Inhibitors - A Brief History and a Bright Future. Current Topics in Medicinal Chemistry. 16(25). 2779–2791. 63 indexed citations
11.
Patel, Hardik, Pallav D. Patel, Stefan O. Ochiana, et al.. (2015). Structure–Activity Relationship in a Purine-Scaffold Compound Series with Selectivity for the Endoplasmic Reticulum Hsp90 Paralog Grp94. Journal of Medicinal Chemistry. 58(9). 3922–3943. 54 indexed citations
12.
Patel, Pallav D., Pengrong Yan, Paul M. Seidler, et al.. (2013). Paralog-selective Hsp90 inhibitors define tumor-specific regulation of HER2. Nature Chemical Biology. 9(11). 677–684. 175 indexed citations
13.
14.
Shaffer, P.L., Arif Jivan, D.E. Dollins, Frank Claessens, & D.T. Gewirth. (2004). Structural basis of androgen receptor binding to selective androgen response elements. Proceedings of the National Academy of Sciences. 101(14). 4758–4763. 292 indexed citations
15.
Soldano, Karen, Arif Jivan, Christopher V. Nicchitta, & D.T. Gewirth. (2003). Structure of the N-terminal Domain of GRP94. Journal of Biological Chemistry. 278(48). 48330–48338. 118 indexed citations
16.
Gewirth, D.T., et al.. (1995). The basis for half-site specificity explored through a non-cognate steroid receptor-DNA complex. Nature Structural & Molecular Biology. 2(5). 386–394. 89 indexed citations
17.
Szewczak, Alexander A., Susan A. White, D.T. Gewirth, & Peter B. Moore. (1990). On the use of T7 RNA polymerase transcripts for physical investigation. Nucleic Acids Research. 18(14). 4139–4142. 12 indexed citations
18.
Gewirth, D.T. & Peter B. Moore. (1988). Exploration of the L18 binding site on 5S RNA by deletion mutagenesis. Nucleic Acids Research. 16(22). 10717–10732. 14 indexed citations
19.
Gewirth, D.T., et al.. (1987). Secondary structure of 5S RNA: NMR experiments on RNA molecules partially labeled with nitrogen-15. Biochemistry. 26(16). 5213–5220. 26 indexed citations
20.
Kime, Matthew J., D.T. Gewirth, & Peter B. Moore. (1984). Assignment of resonances in the downfield proton spectrum of Escherichia coli 5S RNA and its nucleoprotein complexes using components of a ribonuclease-resistant fragment. Biochemistry. 23(15). 3559–3568. 18 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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