Peter Tormay

1.1k total citations
18 papers, 853 citations indexed

About

Peter Tormay is a scholar working on Molecular Biology, Nutrition and Dietetics and Infectious Diseases. According to data from OpenAlex, Peter Tormay has authored 18 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Nutrition and Dietetics and 5 papers in Infectious Diseases. Recurrent topics in Peter Tormay's work include Heat shock proteins research (8 papers), Selenium in Biological Systems (6 papers) and Viral gastroenteritis research and epidemiology (4 papers). Peter Tormay is often cited by papers focused on Heat shock proteins research (8 papers), Selenium in Biological Systems (6 papers) and Viral gastroenteritis research and epidemiology (4 papers). Peter Tormay collaborates with scholars based in United Kingdom, Germany and Australia. Peter Tormay's co-authors include August Böck, Brian E. Henderson, Anthony Coates, Reinhard Wilting, Karl Forchhammer, Armin Ehrenreich, Yanmin Hu, Stephen Poole, A Böck and Lindsay Sharp and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Journal of Molecular Biology.

In The Last Decade

Peter Tormay

18 papers receiving 818 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Tormay United Kingdom	16	510	208	207	144	116	18	853
B. Pluvinage Canada	21	621 1.2×	47 0.2×	190 0.9×	55 0.4×	103 0.9×	42	1.0k
Hans-Georg Koch Germany	13	590 1.2×	143 0.7×	54 0.3×	143 1.0×	51 0.4×	18	954
Geert Schoofs Belgium	19	959 1.9×	69 0.3×	144 0.7×	54 0.4×	69 0.6×	39	1.4k
Bernd Wieland Germany	9	531 1.0×	195 0.9×	64 0.3×	67 0.5×	16 0.1×	9	810
M.A. Higgins Canada	15	478 0.9×	64 0.3×	76 0.4×	36 0.3×	139 1.2×	29	778
Stewart T. Cole France	9	296 0.6×	372 1.8×	23 0.1×	106 0.7×	86 0.7×	9	637
Sandra Maaß Germany	18	715 1.4×	160 0.8×	27 0.1×	59 0.4×	102 0.9×	69	1.0k
Lenka Šnajdrová Czechia	8	568 1.1×	45 0.2×	69 0.3×	71 0.5×	37 0.3×	19	826
Toshiki G. Nakashige United States	12	406 0.8×	133 0.6×	261 1.3×	107 0.7×	78 0.7×	15	837
Karen Arnold United States	8	320 0.6×	104 0.5×	36 0.2×	93 0.6×	143 1.2×	8	669

Countries citing papers authored by Peter Tormay

Since Specialization

Citations

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

Fields of papers citing papers by Peter Tormay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Tormay. 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 Peter Tormay. The network helps show where Peter Tormay may publish in the future.

Co-authorship network of co-authors of Peter Tormay

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

All Works

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18 of 18 papers shown

Tormay, Peter. (2015). Big Data in Pharmaceutical R&D: Creating a Sustainable R&D Engine. Pharmaceutical Medicine. 29(2). 87–92. 15 indexed citations

Cehovin, Ana, Anthony Coates, Yanmin Hu, et al.. (2010). Comparison of the Moonlighting Actions of the Two Highly Homologous Chaperonin 60 Proteins of Mycobacterium tuberculosis. Infection and Immunity. 78(7). 3196–3206. 44 indexed citations

Winrow, V R, Sajeda Meghji, Christopher J. Morris, et al.. (2008). The two homologous chaperonin 60 proteins ofMycobacterium tuberculosishave distinct effects on monocyte differentiation into osteoclasts. Cellular Microbiology. 10(10). 2091–2104. 21 indexed citations

Hu, Yanmin, Brian E. Henderson, Peter A. Lund, et al.. (2008). AMycobacterium tuberculosisMutant Lacking thegroELHomologuecpn60.1Is Viable but Fails To Induce an Inflammatory Response in Animal Models of Infection. Infection and Immunity. 76(4). 1535–1546. 84 indexed citations

Tormay, Peter, Anthony Coates, & Brian E. Henderson. (2005). The Intercellular Signaling Activity of the Mycobacterium tuberculosis Chaperonin 60.1 Protein Resides in the Equatorial Domain. Journal of Biological Chemistry. 280(14). 14272–14277. 19 indexed citations

Poole, Stephen, et al.. (2005). Comparative cell signalling activity of ultrapure recombinant chaperonin 60 proteins from prokaryotes and eukaryotes. Immunology. 115(2). 231–238. 25 indexed citations

Riffo‐Vasquez, Yanira, Domenico Spina, Clive Page, et al.. (2004). Effect of Mycobacterium tuberculosis chaperonins on bronchial eosinophilia and hyper‐responsiveness in a murine model of allergic inflammation. Clinical & Experimental Allergy. 34(5). 712–719. 44 indexed citations

Lewthwaite, Jo, Roger George, Peter A. Lund, et al.. (2002). Rhizobium leguminosarum chaperonin 60.3, but not chaperonin 60.1, induces cytokine production by human monocytes: activity is dependent on interaction with cell surface CD14. Cell Stress and Chaperones. 7(2). 130–130. 19 indexed citations

Stewart, Graham R., Valerie A. Snewin, Gerhard Walzl, et al.. (2001). Overexpression of heat-shock proteins reduces survival of Mycobacterium tuberculosis in the chronic phase of infection. Nature Medicine. 7(6). 732–737. 116 indexed citations

10.

Lewthwaite, Jo, Anthony Coates, Peter Tormay, et al.. (2001). Mycobacterium tuberculosisChaperonin 60.1 Is a More Potent Cytokine Stimulator than Chaperonin 60.2 (Hsp 65) and Contains a CD14-Binding Domain. Infection and Immunity. 69(12). 7349–7355. 99 indexed citations

11.

Tormay, Peter, Reinhard Wilting, Friedrich Lottspeich, et al.. (1998). Bacterial selenocysteine synthase. European Journal of Biochemistry. 254(3). 655–661. 33 indexed citations

12.

Tormay, Peter & August Böck. (1997). Barriers to heterologous expression of a selenoprotein gene in bacteria. Journal of Bacteriology. 179(3). 576–582. 33 indexed citations

13.

Böck, August, et al.. (1997). Domain structure of the selenocysteine-specific translation factor SelB in prokaryotes.. PubMed. 10(2-3). 125–8. 6 indexed citations

14.

Wilting, Reinhard, et al.. (1996). Domain Structure of the Prokaryotic Selenocysteine-specific Elongation Factor SelB. Journal of Molecular Biology. 262(4). 413–420. 96 indexed citations

15.

Tormay, Peter, et al.. (1996). Role of stoichiometry between mRNA, translation factor SeIB and selenocysteyl‐tRNA in selenoprotein synthesis. Molecular Microbiology. 21(6). 1253–1259. 41 indexed citations

16.

Tormay, Peter, Reinhard Wilting, Johann Heider, & August Böck. (1994). Genes coding for the selenocysteine-inserting tRNA species from Desulfomicrobium baculatum and Clostridium thermoaceticum: structural and evolutionary implications. Journal of Bacteriology. 176(5). 1268–1274. 17 indexed citations

17.

Darwin, Andrew J., et al.. (1993). Identification of the formate dehydrogenases and genetic determinants of formate-dependent nitrite reduction by Escherichia coli K12. Journal of General Microbiology. 139(8). 1829–1840. 53 indexed citations

18.

Ehrenreich, Armin, et al.. (1992). Selenoprotein synthesis in E. coli. European Journal of Biochemistry. 206(3). 767–773. 88 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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