Rod B. Watson

1.6k total citations
17 papers, 1.3k citations indexed

About

Rod B. Watson is a scholar working on Molecular Biology, Cell Biology and Biomaterials. According to data from OpenAlex, Rod B. Watson has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Biomaterials. Recurrent topics in Rod B. Watson's work include Advanced Proteomics Techniques and Applications (4 papers), Collagen: Extraction and Characterization (4 papers) and Enzyme Production and Characterization (4 papers). Rod B. Watson is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Collagen: Extraction and Characterization (4 papers) and Enzyme Production and Characterization (4 papers). Rod B. Watson collaborates with scholars based in United Kingdom, United States and Netherlands. Rod B. Watson's co-authors include Karl E. Kadler, David Holmes, Helen K. Graham, Tom Dunkley, Paul Dupree, Kathryn S. Lilley, Ian Shadforth, Conrad Bessant, Thilo Weimar and Svenja Hester and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Biotechnology.

In The Last Decade

Rod B. Watson

17 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rod B. Watson United Kingdom 13 700 274 253 210 178 17 1.3k
Gordon E. Willick Canada 29 1.6k 2.3× 61 0.2× 76 0.3× 124 0.6× 182 1.0× 81 2.3k
L H Tang United States 20 734 1.0× 51 0.2× 972 3.8× 64 0.3× 138 0.8× 30 1.6k
Masashi Kusubata Japan 22 819 1.2× 41 0.1× 470 1.9× 23 0.1× 136 0.8× 49 1.5k
Xue Feng China 21 644 0.9× 18 0.1× 272 1.1× 50 0.2× 89 0.5× 50 1.2k
Cristal I. Gama United States 8 726 1.0× 25 0.1× 729 2.9× 33 0.2× 105 0.6× 8 1.1k
Brigitte Schmitz Germany 22 809 1.2× 87 0.3× 277 1.1× 42 0.2× 49 0.3× 42 1.2k
Jonathan R. Moll United States 13 768 1.1× 15 0.1× 106 0.4× 123 0.6× 116 0.7× 16 1.1k
Salah Mahmoudi United States 12 1.4k 2.0× 28 0.1× 115 0.5× 70 0.3× 122 0.7× 13 2.0k
Ryan L. McCarthy United States 22 2.4k 3.4× 113 0.4× 56 0.2× 1.6k 7.5× 133 0.7× 31 2.9k
Souhei Mizuguchi Japan 12 649 0.9× 13 0.0× 718 2.8× 71 0.3× 105 0.6× 14 1.1k

Countries citing papers authored by Rod B. Watson

Since Specialization
Citations

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

Fields of papers citing papers by Rod B. Watson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rod B. Watson. 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 Rod B. Watson. The network helps show where Rod B. Watson may publish in the future.

Co-authorship network of co-authors of Rod B. Watson

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

All Works

17 of 17 papers shown
1.
Ow, Saw Yen, Josselin Noirel, Malinda Salim, et al.. (2010). Balancing robust quantification and identification for iTRAQ: Application of UHR‐ToF MS. PROTEOMICS. 10(11). 2205–2213. 24 indexed citations
2.
Dunkley, Tom, Svenja Hester, Ian Shadforth, et al.. (2006). Mapping the Arabidopsis organelle proteome. Proceedings of the National Academy of Sciences. 103(17). 6518–6523. 403 indexed citations
3.
Jenkins, Rosalind E., Neil R. Kitteringham, Christie L. Hunter, et al.. (2006). Relative and absolute quantitative expression profiling of cytochromes P450 using isotope‐coded affinity tags. PROTEOMICS. 6(6). 1934–1947. 58 indexed citations
4.
Unwin, Richard D., Andrew Pierce, Rod B. Watson, David Sternberg, & Anthony D. Whetton. (2005). Quantitative Proteomic Analysis Using Isobaric Protein Tags Enables Rapid Comparison of Changes in Transcript and Protein Levels in Transformed Cells. Molecular & Cellular Proteomics. 4(7). 924–935. 97 indexed citations
5.
Li, Ka Wan, Martin Hornshaw, Roel C. van der Schors, et al.. (2004). Proteomics Analysis of Rat Brain Postsynaptic Density. Journal of Biological Chemistry. 279(2). 987–1002. 210 indexed citations
6.
Dunkley, Tom, Paul Dupree, Rod B. Watson, & Kathryn S. Lilley. (2004). The use of isotope-coded affinity tags (ICAT) to study organelle proteomes in Arabidopsis thaliana. Biochemical Society Transactions. 32(3). 520–523. 43 indexed citations
7.
Graham, Helen K., David Holmes, Rod B. Watson, & Karl E. Kadler. (2000). Identification of collagen fibril fusion during vertebrate tendon morphogenesis. The process relies on unipolar fibrils and is regulated by collagen-proteoglycan interaction. Journal of Molecular Biology. 295(4). 891–902. 151 indexed citations
8.
Watson, Rod B., et al.. (1999). Expression of an engineered form of recombinant procollagen in mouse milk. Nature Biotechnology. 17(4). 385–389. 74 indexed citations
9.
Watson, Rod B., David Holmes, Helen K. Graham, Betty Nusgens, & Karl E. Kadler. (1998). Surface located procollagen N-propeptides on dermatosparactic collagen fibrils are not cleaved by procollagen N-proteinase and do not inhibit binding of decorin to the fibril surface. Journal of Molecular Biology. 278(1). 195–204. 19 indexed citations
10.
Holmes, David, Rod B. Watson, John A. Chapman, & Karl E. Kadler. (1996). Enzymic Control of Collagen Fibril Shape. Journal of Molecular Biology. 261(2). 93–97. 30 indexed citations
11.
Kadler, Karl E., et al.. (1995). [49] Procollagen N-peptidases: Procollagen N-proteinases. Methods in enzymology on CD-ROM/Methods in enzymology. 248. 756–771. 5 indexed citations
12.
Kadler, Karl E. & Rod B. Watson. (1995). [50] Procollagen C-peptidase: Procollagen C-proteinase. Methods in enzymology on CD-ROM/Methods in enzymology. 248. 771–781. 9 indexed citations
13.
Weston, Susan A., David Hulmes, A. Paul Mould, Rod B. Watson, & Martin J. Humphries. (1994). Identification of integrin alpha 2 beta 1 as cell surface receptor for the carboxyl-terminal propeptide of type I procollagen.. Journal of Biological Chemistry. 269(33). 20982–20986. 31 indexed citations
14.
Holmes, David, Rod B. Watson, B Steinmann, & Karl E. Kadler. (1993). Ehlers-Danlos syndrome type VIIB. Morphology of type I collagen fibrils formed in vivo and in vitro is determined by the conformation of the retained N-propeptide. Journal of Biological Chemistry. 268(21). 15758–15765. 45 indexed citations
16.
Holmes, David, Rod B. Watson, & Karl E. Kadler. (1991). On the regulation of collagen-fibril shape and form. Biochemical Society Transactions. 19(4). 808–811. 9 indexed citations
17.
Crookall, David & Rod B. Watson. (1985). Some applied and theoretical perspectives on a jigsaw reading exercise. ITL Review of Applied Linguistics. 69. 43–78. 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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