Ned Watson

2.1k citations
27 papers · 1.9k · h-index 18

Impact in

    • Protein Kinase Regulation and GTPase Signaling
    • Receptor Mechanisms and Signaling
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Ion channel regulation and function
  • Genetics top 5%
    • Bacterial Genetics and Biotechnology

Papers in

    • RNA and protein synthesis mechanisms 17
    • Protein Kinase Regulation and GTPase Signaling 5
    • RNA modifications and cancer 2
    • Bacterial Genetics and Biotechnology 17
    • Evolution and Genetic Dynamics 2

Ned Watson

27 papers receiving 1.8k citations

Peers

Ned Watson
Comparison fields: 5 of 100
  • Molecular Biology 1.6k
  • Genetics 486
  • Endocrinology 82
  • Cell Biology 185
  • Ecology 272
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Ned Watson

Since Specialization
Citations

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

Fields of papers citing papers by Ned Watson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ned Watson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ned Watson Line = papers co-authored together Ned Watson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996491
2 1997317
3 1992184
4 1977130
5 1988124
6 1998114
7 197581
8 199874
9 199862
10 198450
11 197432
12 198531
13 197628
14
A cleavage site of ribonuclease F. A putative processing endoribonuclease from Escherichia coli.
198223
15 198122
16 198220
17 197518
18 197817
19 197614
20 197614

About Ned Watson

Ned Watson is a scholar working on Molecular Biology, Genetics, Ecology, Cell Biology and Endocrinology, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (17 papers), RNA and protein synthesis mechanisms (17 papers), Bacteriophages and microbial interactions (10 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Cellular transport and secretion (3 papers), Escherichia coli research studies (2 papers), Evolution and Genetic Dynamics (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Genetics (486 citations), Endocrinology (82 citations), Cell Biology (185 citations) and Ecology (272 citations). Ned Watson has collaborated with scholars based in United States. Frequent co-authors include Kendall Blumer, David Apirion, Maurine E. Linder, John H. Kehrl, Kirk M. Druey, Scott P. Heximer, John R. Hepler, Peter Gegenheimer, Eric R. Olson and Joan L. Slonczewski. Their work appears in journals such as Journal of Bacteriology, Journal of Biological Chemistry, Gene, Proceedings of the National Academy of Sciences and Journal of Molecular and Cellular Cardiology.

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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