David S. Thiriot

639 total citations
17 papers, 485 citations indexed

About

David S. Thiriot is a scholar working on Molecular Biology, Infectious Diseases and Cellular and Molecular Neuroscience. According to data from OpenAlex, David S. Thiriot has authored 17 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Infectious Diseases and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in David S. Thiriot's work include Clostridium difficile and Clostridium perfringens research (6 papers), Viral gastroenteritis research and epidemiology (5 papers) and Protein Structure and Dynamics (3 papers). David S. Thiriot is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (6 papers), Viral gastroenteritis research and epidemiology (5 papers) and Protein Structure and Dynamics (3 papers). David S. Thiriot collaborates with scholars based in United States and United Kingdom. David S. Thiriot's co-authors include Stanley J. Opella, Alexander A. Nevzorov, Arnold E. Ruoho, Chin H. Wu, Francesca M. Marassi, Michael F. Mesleh, Gianluigi Veglia, Sangwon Lee, Michael K. Sievert and Susan Secore and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

David S. Thiriot

17 papers receiving 467 citations

Peers

David S. Thiriot

MB

SPECT

ID

EPIDE

MC

Cláudia Elisabeth Munte Germany

Ilan Samish Israel

Alessandro Piai United States

Myungwoon Lee United States

Yuki Ohigashi United States

Zsófia Sólyom France

Xi Shan Canada

Guillermo A. Bermejo United States

Asli Ertekin United States

Gabriel A. Cook United States

Cláudia Elisabeth Munte Germany

David S. Thiriot

398 ×1.6

MB

121 ×0.8

SPECT

51 ×0.6

ID

38 ×0.5

EPIDE

138 ×2.1

MC

Citations per year, relative to David S. Thiriot David S. Thiriot (= 1×) peers Cláudia Elisabeth Munte

Countries citing papers authored by David S. Thiriot

Since Specialization

Citations

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

Fields of papers citing papers by David S. Thiriot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Thiriot. 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 David S. Thiriot. The network helps show where David S. Thiriot may publish in the future.

Co-authorship network of co-authors of David S. Thiriot

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

All Works

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17 of 17 papers shown

1.

Elbashir, Sayda M., Nicole Sullivan, David S. Thiriot, et al.. (2020). Immunogenicity generated by mRNA vaccine encoding VZV gE antigen is comparable to adjuvanted subunit vaccine and better than live attenuated vaccine in nonhuman primates. Vaccine. 38(36). 5793–5802. 53 indexed citations

2.

Rustandi, Richard R., et al.. (2016). Ion-Exchange Chromatography to Analyze Components of a Clostridium difficile Vaccine. Methods in molecular biology. 1476. 269–277. 3 indexed citations

3.

Wang, Su, Richard R. Rustandi, David S. Thiriot, et al.. (2015). Toxicity assessment of Clostridium difficile toxins in rodent models and protection of vaccination. Vaccine. 34(10). 1319–1323. 11 indexed citations

4.

Wang, Su, Susan Secore, David S. Thiriot, et al.. (2014). An in vitro culture model to study the dynamics of colonic microbiota in Syrian golden hamsters and their susceptibility to infection with Clostridium difficile. The ISME Journal. 9(2). 321–332. 17 indexed citations

5.

Xie, Jinfu, Melanie Horton, Julie Zorman, et al.. (2014). Development and Optimization of a High-Throughput Assay To Measure Neutralizing Antibodies against Clostridium difficile Binary Toxin. Clinical and Vaccine Immunology. 21(5). 689–697. 10 indexed citations

6.

Wang, Su, Richard R. Rustandi, Feng Wang, et al.. (2014). Detecting and preventing reversion to toxicity for a formaldehyde-treated C. difficile toxin B mutant. Vaccine. 33(1). 252–259. 12 indexed citations

7.

Karczewski, Jakub, Julie Zorman, Su Wang, et al.. (2014). Development of a recombinant toxin fragment vaccine for Clostridium difficile infection. Vaccine. 32(24). 2812–2818. 21 indexed citations

8.

Thiriot, David S., et al.. (2011). Influence of Formulation pH and Suspension State on Freezing-Induced Agglomeration of Aluminum Adjuvants. Journal of Pharmaceutical Sciences. 101(3). 1050–1062. 24 indexed citations

9.

Lowery, Thomas J., Bo Zhang, Roger G. Harrison, et al.. (2006). Flavodoxin hydroquinone reduces Azotobacter vinelandii Fe protein to the all-ferrous redox state with a S = 0 spin state. Proceedings of the National Academy of Sciences. 103(46). 17131–17136. 43 indexed citations

10.

Thiriot, David S., Alexander A. Nevzorov, & Stanley J. Opella. (2005). Structural basis of the temperature transition of Pf1 bacteriophage. Protein Science. 14(4). 1064–1070. 37 indexed citations

11.

Thiriot, David S., et al.. (2004). Structure of the Coat Protein in Pf1 Bacteriophage Determined by Solid-state NMR Spectroscopy. Journal of Molecular Biology. 341(3). 869–879. 84 indexed citations

12.

Mesleh, Michael F., Sangwon Lee, Gianluigi Veglia, et al.. (2003). Dipolar Waves Map the Structure and Topology of Helices in Membrane Proteins. Journal of the American Chemical Society. 125(29). 8928–8935. 87 indexed citations

13.

Thiriot, David S., Michael K. Sievert, & Arnold E. Ruoho. (2002). Identification of Human Vesicle Monoamine Transporter (VMAT2) Lumenal Cysteines That Form an Intramolecular Disulfide Bond. Biochemistry. 41(20). 6346–6353. 21 indexed citations

14.

Wu, Zhongren, David S. Thiriot, & Arnold E. Ruoho. (2001). Tyr199 in transmembrane domain 5 of the β2-adrenergic receptor interacts directly with the pharmacophore of a unique fluorenone-based antagonist. Biochemical Journal. 354(3). 485–485. 9 indexed citations

15.

Thiriot, David S. & Arnold E. Ruoho. (2001). Mutagenesis and Derivatization of Human Vesicle Monoamine Transporter 2 (VMAT2) Cysteines Identifies Transporter Domains Involved in Tetrabenazine Binding and Substrate Transport. Journal of Biological Chemistry. 276(29). 27304–27315. 27 indexed citations

16.

Wu, Zhongren, David S. Thiriot, & Arnold E. Ruoho. (2001). Tyr199 in transmembrane domain 5 of the β2-adrenergic receptor interacts directly with the pharmacophore of a unique fluorenone-based antagonist. Biochemical Journal. 354(3). 485–491. 7 indexed citations

17.

Thiriot, David S., et al.. (1999). Probing the Salmeterol Binding Site on the β₂-Adrenergic Receptor Using a Novel Photoaffinity Ligand, [¹²⁵I]Iodoazidosalmeterol. Biochemistry. 38(35). 11278–11286. 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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