Peter R. Sibbald

3.0k total citations · 1 hit paper
26 papers, 2.5k citations indexed

About

Peter R. Sibbald is a scholar working on Molecular Biology, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Peter R. Sibbald has authored 26 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Peter R. Sibbald's work include RNA and protein synthesis mechanisms (9 papers), Machine Learning in Bioinformatics (8 papers) and Genomics and Phylogenetic Studies (8 papers). Peter R. Sibbald is often cited by papers focused on RNA and protein synthesis mechanisms (9 papers), Machine Learning in Bioinformatics (8 papers) and Genomics and Phylogenetic Studies (8 papers). Peter R. Sibbald collaborates with scholars based in Canada, Germany and Netherlands. Peter R. Sibbald's co-authors include Matti Saraste, Yueh-hsiu Chien, Edwin P. Rock, Mark M. Davis, Martin Vingron, Patrick Argos, Patrick Argos, Jack Maze, Thomas Dandekar and Beverley R. Green and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Experimental Medicine.

In The Last Decade

Peter R. Sibbald

25 papers receiving 2.5k citations

Hit Papers

The P-loop — a common mot... 1990 2026 2002 2014 1990 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter R. Sibbald Canada 11 1.6k 460 327 319 295 26 2.5k
Lois T. Hunt United States 23 2.2k 1.4× 331 0.7× 442 1.4× 317 1.0× 224 0.8× 45 3.4k
Winona C. Barker United States 29 2.7k 1.7× 309 0.7× 514 1.6× 305 1.0× 268 0.9× 55 3.7k
Raymond Gilmour United Kingdom 32 2.4k 1.5× 419 0.9× 501 1.5× 200 0.6× 163 0.6× 63 3.3k
David P. Leader United Kingdom 30 1.9k 1.1× 665 1.4× 603 1.8× 273 0.9× 134 0.5× 116 3.5k
Philip Bucher Germany 9 2.0k 1.2× 280 0.6× 273 0.8× 353 1.1× 236 0.8× 12 2.8k
M.S. Nissen United States 24 3.6k 2.2× 369 0.8× 434 1.3× 442 1.4× 574 1.9× 40 4.5k
J.E. Dixon United States 18 2.6k 1.6× 584 1.3× 318 1.0× 264 0.8× 127 0.4× 20 3.3k
Christophe Blanchet France 18 1.9k 1.2× 201 0.4× 349 1.1× 348 1.1× 196 0.7× 36 2.9k
Guy Yachdav United States 8 1.7k 1.1× 168 0.4× 401 1.2× 299 0.9× 253 0.9× 24 2.4k
Richard Blevins United States 12 2.5k 1.5× 254 0.6× 317 1.0× 139 0.4× 465 1.6× 15 3.3k

Countries citing papers authored by Peter R. Sibbald

Since Specialization
Citations

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

Fields of papers citing papers by Peter R. Sibbald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter R. Sibbald

This figure shows the co-authorship network connecting the top 25 collaborators of Peter R. Sibbald. A scholar is included among the top collaborators of Peter R. Sibbald 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 R. Sibbald. Peter R. Sibbald 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.
Meijer, S., et al.. (2012). Indexing the actual condition of GIS at the component level, bay level, and the GIS level. 176. 536–540. 3 indexed citations
2.
Meijer, S., et al.. (2010). Criticality assessment of GIS components. 150. 626–629. 5 indexed citations
3.
Meijer, S., et al.. (2010). Analysis of diagnostic methods to prevent failure of critical GIS components. 167. 220–223. 1 indexed citations
4.
Sibbald, Peter R.. (1995). Deducing protein structures using logic programming: exploiting minimum data of diverse types. Journal of Theoretical Biology. 173(4). 361–375. 3 indexed citations
5.
Sibbald, Peter R., et al.. (1995). Issues in incorporation semantic integrity in molecular biological object-oriented databases. Computer applications in the biosciences. 11(4). 339–347. 2 indexed citations
6.
Rock, Edwin P., Peter R. Sibbald, Mark M. Davis, & Yueh-hsiu Chien. (1994). CDR3 length in antigen-specific immune receptors.. The Journal of Experimental Medicine. 179(1). 323–328. 426 indexed citations
7.
Sibbald, Peter R., et al.. (1993). PALM--a pattern language for molecular biology.. PubMed. 1. 172–80. 17 indexed citations
8.
Sibbald, Peter R., et al.. (1992). Overseer: a nucleotide sequence searching tool. Computer applications in the biosciences. 8(1). 45–48. 4 indexed citations
9.
Sibbald, Peter R., et al.. (1991). Identification of proteins in sequence databases from amino acid composition data. Analytical Biochemistry. 198(2). 330–333. 21 indexed citations
10.
Sibbald, Peter R., et al.. (1991). Automated protein sequence pattern handling and PROSITE searching. Computer applications in the biosciences. 7(4). 535–536. 10 indexed citations
11.
Sibbald, Peter R. & Patrick Argos. (1990). Weighting aligned protein or nucleic acid sequences to correct for unequal representation. Journal of Molecular Biology. 216(4). 813–818. 64 indexed citations
12.
Sibbald, Peter R. & Benjamin J. Blencowe. (1990). A completely conserved rat U6 snRNA pseudogene coding sequence is sandwiched between a cytochromecretropseudogene and a LINE-like sequence. Nucleic Acids Research. 18(4). 1063–1063. 3 indexed citations
13.
Dandekar, Thomas & Peter R. Sibbald. (1990). Trans-splicing of pre-MRNA is predicted to occur in a wide range of organisms including vertebrates. Nucleic Acids Research. 18(16). 4719–4725. 20 indexed citations
14.
Sibbald, Peter R. & Patrick Argos. (1990). Scrutineer: a computer program that flexibly seeks and describes motifs and profiles in protein sequence databases. Computer applications in the biosciences. 6(3). 279–288. 25 indexed citations
15.
Saraste, Matti, et al.. (1990). The P-loop — a common motif in ATP- and GTP-binding proteins. Trends in Biochemical Sciences. 15(11). 430–434. 1763 indexed citations breakdown →
16.
Sibbald, Peter R., et al.. (1990). Quantifying the dynamics of order and organization in biological systems. Journal of Theoretical Biology. 143(1). 91–112. 21 indexed citations
17.
Sibbald, Peter R., et al.. (1989). Calculating higher order DNA sequence information measures. Journal of Theoretical Biology. 136(4). 475–483. 15 indexed citations
18.
Sibbald, Peter R. & William Vidaver. (1987). Photosystem I-Mediated Regulation of Water Splitting in the Red Alga, Porphyra sanjuanensis. PLANT PHYSIOLOGY. 84(4). 1373–1377. 9 indexed citations
19.
Sibbald, Peter R. & Beverley R. Green. (1987). Copper in photosystem II: association with LHC II. Photosynthesis Research. 14(3). 201–209. 17 indexed citations
20.
Sibbald, Peter R. & Michael J. White. (1987). How probable are antibody cross-reactions?. Journal of Theoretical Biology. 127(2). 163–169. 4 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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