J. Watson

573 total citations
12 papers, 469 citations indexed

About

J. Watson is a scholar working on Molecular Biology, Cell Biology and Spectroscopy. According to data from OpenAlex, J. Watson has authored 12 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Spectroscopy. Recurrent topics in J. Watson's work include DNA and Nucleic Acid Chemistry (3 papers), Protein Structure and Dynamics (2 papers) and Plant biochemistry and biosynthesis (2 papers). J. Watson is often cited by papers focused on DNA and Nucleic Acid Chemistry (3 papers), Protein Structure and Dynamics (2 papers) and Plant biochemistry and biosynthesis (2 papers). J. Watson collaborates with scholars based in United States. J. Watson's co-authors include P Shing Ho, Franklin A. Hays, Max L. Deinzer, Salahuddin Ahmed, Nahid Akhtar, Emily Cavaliere, Michael J. Harms, Michael I. Schimerlik, Heidi Zhang and Dennis E. Hruby 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

J. Watson

12 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Watson United States 9 307 86 52 39 38 12 469
J. Santeri Puranen Finland 9 238 0.8× 34 0.4× 29 0.6× 22 0.6× 49 1.3× 9 553
John Hachmann United States 13 514 1.7× 54 0.6× 42 0.8× 44 1.1× 46 1.2× 23 666
Leslie S. Wolfe United States 7 458 1.5× 49 0.6× 44 0.8× 7 0.2× 48 1.3× 14 666
Jeremy A. Smith United States 13 369 1.2× 22 0.3× 114 2.2× 32 0.8× 36 0.9× 16 639
Joanna Cieśla Poland 13 466 1.5× 57 0.7× 125 2.4× 39 1.0× 156 4.1× 44 623
Xiaobing Xia United Kingdom 11 304 1.0× 42 0.5× 117 2.3× 26 0.7× 38 1.0× 22 482
David G. Osterman United States 13 510 1.7× 43 0.5× 48 0.9× 8 0.2× 26 0.7× 16 672
Girija Krishnamurthy United States 18 432 1.4× 28 0.3× 68 1.3× 9 0.2× 39 1.0× 30 867
Anthony Popowicz United States 14 349 1.1× 35 0.4× 75 1.4× 5 0.1× 27 0.7× 31 611
Matthı́as Thórólfsson Norway 13 534 1.7× 37 0.4× 19 0.4× 34 0.9× 119 3.1× 16 667

Countries citing papers authored by J. Watson

Since Specialization
Citations

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

Fields of papers citing papers by J. Watson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Watson

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

All Works

12 of 12 papers shown
1.
Watson, Christy J.W., et al.. (2020). Altered Metabolism of Polycyclic Aromatic Hydrocarbons by UDP-Glycosyltransferase 3A2 Missense Variants. Chemical Research in Toxicology. 33(11). 2854–2862. 5 indexed citations
2.
Walker, Alexander M., et al.. (2019). Structural and Functional Characterization of Dynamic Oligomerization in Burkholderia cenocepacia HMG-CoA Reductase. Biochemistry. 58(38). 3960–3970. 8 indexed citations
3.
Akhtar, Nahid, et al.. (2017). RANTES/CCL5 Induces Collagen Degradation by Activating MMP-1 and MMP-13 Expression in Human Rheumatoid Arthritis Synovial Fibroblasts. Frontiers in Immunology. 8. 1341–1341. 99 indexed citations
4.
Schroll, Monica M., et al.. (2014). Surface histidine mutations for the metal affinity purification of a β-carbonic anhydrase. Analytical Biochemistry. 458. 66–68. 2 indexed citations
5.
Schwarz, Benjamin, et al.. (2013). Kinetic characterization of an oxidative, cooperative HMG-CoA reductase from Burkholderia cenocepacia. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1844(2). 457–464. 5 indexed citations
6.
Hays, Franklin A., et al.. (2005). How sequence defines structure: A crystallographic map of DNA structure and conformation. Proceedings of the National Academy of Sciences. 102(20). 7157–7162. 121 indexed citations
7.
Watson, J., et al.. (2005). Mass Tagging Approach for Mitochondrial Thiol Proteins. Journal of Proteome Research. 4(4). 1403–1412. 16 indexed citations
8.
Watson, J.. (2004). Definitions and analysis of DNA Holliday junction geometry. Nucleic Acids Research. 32(10). 3017–3027. 36 indexed citations
9.
Byrd, Chelsea M., et al.. (2004). The Vaccinia Virus G1L Putative Metalloproteinase Is Essential for Viral Replication In Vivo. Journal of Virology. 78(18). 9947–9953. 25 indexed citations
11.
Hays, Franklin A., J. Watson, & P Shing Ho. (2003). Caution! DNA Crossing: Crystal Structures of Holliday Junctions. Journal of Biological Chemistry. 278(50). 49663–49666. 38 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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