Rory M. Watt

3.2k total citations
67 papers, 2.6k citations indexed

About

Rory M. Watt is a scholar working on Molecular Biology, Periodontics and Infectious Diseases. According to data from OpenAlex, Rory M. Watt has authored 67 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 26 papers in Periodontics and 15 papers in Infectious Diseases. Recurrent topics in Rory M. Watt's work include Oral microbiology and periodontitis research (25 papers), Oral Health Pathology and Treatment (11 papers) and HIV/AIDS oral health manifestations (7 papers). Rory M. Watt is often cited by papers focused on Oral microbiology and periodontitis research (25 papers), Oral Health Pathology and Treatment (11 papers) and HIV/AIDS oral health manifestations (7 papers). Rory M. Watt collaborates with scholars based in Hong Kong, China and United States. Rory M. Watt's co-authors include Jian‐Dong Huang, Julian A. Tanner, David E. Cane, LJ Jin, WK Leung, Yuki Chan, Nihal Bandara, Hongzhe Sun, L. P. Samaranayake and Nikos Mattheos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Rory M. Watt

67 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rory M. Watt Hong Kong 30 1.2k 669 449 204 201 67 2.6k
Neal D. Hammer United States 28 1.6k 1.4× 604 0.9× 99 0.2× 209 1.0× 349 1.7× 53 2.8k
Vishvanath Tiwari India 28 1.7k 1.4× 339 0.5× 162 0.4× 217 1.1× 110 0.5× 73 3.3k
J. Mark Sutton United Kingdom 34 1.5k 1.3× 427 0.6× 91 0.2× 305 1.5× 151 0.8× 124 3.6k
Laura Selan Italy 24 960 0.8× 265 0.4× 222 0.5× 90 0.4× 35 0.2× 75 1.6k
Helena Sztajer Germany 27 1.4k 1.2× 237 0.4× 495 1.1× 225 1.1× 129 0.6× 43 2.2k
Miguel Viñas Spain 26 749 0.6× 141 0.2× 382 0.9× 298 1.5× 104 0.5× 89 2.3k
Vinai C. Thomas United States 26 1.3k 1.1× 778 1.2× 178 0.4× 225 1.1× 303 1.5× 53 2.2k
Fengxia Qi United States 43 2.7k 2.3× 566 0.8× 2.0k 4.5× 667 3.3× 462 2.3× 88 5.1k
Cuong Vuong United States 34 3.5k 3.0× 2.4k 3.6× 340 0.8× 490 2.4× 412 2.0× 47 5.3k
Mohammad Motamedifar Iran 26 511 0.4× 459 0.7× 105 0.2× 419 2.1× 50 0.2× 169 2.1k

Countries citing papers authored by Rory M. Watt

Since Specialization
Citations

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

Fields of papers citing papers by Rory M. Watt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rory M. Watt. 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 Rory M. Watt. The network helps show where Rory M. Watt may publish in the future.

Co-authorship network of co-authors of Rory M. Watt

This figure shows the co-authorship network connecting the top 25 collaborators of Rory M. Watt. A scholar is included among the top collaborators of Rory M. Watt 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 Rory M. Watt. Rory M. Watt 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.
Watt, Rory M., et al.. (2024). Alterations of oral microbiota in young children with autism: Unraveling potential biomarkers for early detection. Journal of Dentistry. 152. 105486–105486. 4 indexed citations
2.
Koohi‐Moghadam, Mohamad, Rory M. Watt, & WK Leung. (2024). Multi-site analysis of biosynthetic gene clusters from the periodontitis oral microbiome. Journal of Medical Microbiology. 73(10). 1 indexed citations
3.
4.
Wang, Miao, et al.. (2023). Functional Characterization of Small Alarmone Synthetase and Small Alarmone Hydrolase Proteins from Treponema denticola. Microbiology Spectrum. 11(4). e0510022–e0510022. 3 indexed citations
5.
Yang, Ning, et al.. (2019). The Ps and Qs of alarmone synthesis in Staphylococcus aureus. PLoS ONE. 14(10). e0213630–e0213630. 21 indexed citations
6.
Menon, Rohit Kunnath, Andrés Gómez, Bernd W. Brandt, et al.. (2019). Long-term impact of oral surgery with or without amoxicillin on the oral microbiome-A prospective cohort study. Scientific Reports. 9(1). 18761–18761. 21 indexed citations
7.
Acharya, Aneesha, et al.. (2019). Species-Level Salivary Microbial Indicators of Well-Resolved Periodontitis: A Preliminary Investigation. Frontiers in Cellular and Infection Microbiology. 9. 347–347. 32 indexed citations
8.
Chan, Yuki, et al.. (2015). In-depth snapshot of the equine subgingival microbiome. Microbial Pathogenesis. 94. 76–89. 22 indexed citations
9.
10.
Curreem, Shirly O. T., Rory M. Watt, Susanna K. P. Lau, & Patrick C. Y. Woo. (2012). Two-dimensional gel electrophoresis in bacterial proteomics. Protein & Cell. 3(5). 346–363. 35 indexed citations
11.
You, Meng, et al.. (2012). Prevalence and diversity of Synergistetes taxa in periodontal health and disease. Journal of Periodontal Research. 48(2). 159–168. 35 indexed citations
12.
Wang, Ying, Bingtai Lu, Wenyang Chen, et al.. (2012). The Two PPX-GppA Homologues from Mycobacterium tuberculosis Have Distinct Biochemical Activities. PLoS ONE. 7(8). e42561–e42561. 35 indexed citations
13.
Chen, Wenyang, et al.. (2011). Functional characterization of an alkaline exonuclease and single strand annealing protein from the SXT genetic element of Vibrio cholerae. BMC Molecular Biology. 12(1). 16–16. 16 indexed citations
14.
Yang, Wen, Wenyang Chen, Hui Wang, et al.. (2011). Structural and functional insight into the mechanism of an alkaline exonuclease from Laribacter hongkongensis. Nucleic Acids Research. 39(22). 9803–9819. 13 indexed citations
15.
Watt, Rory M., Jing Wang, Hsiang‐Fu Kung, et al.. (2007). Visualizing the proteome of Escherichia coli: an efficient and versatile method for labeling chromosomal coding DNA sequences (CDSs) with fluorescent protein genes. Nucleic Acids Research. 35(6). e37–e37. 14 indexed citations
16.
Ge, Ruiguang, Xuesong Sun, Qing Gu, et al.. (2007). A proteomic approach for the identification of bismuth-binding proteins in Helicobacter pylori. JBIC Journal of Biological Inorganic Chemistry. 12(6). 831–842. 83 indexed citations
17.
Ge, Ruiguang, Rory M. Watt, Xuesong Sun, et al.. (2005). Expression and characterization of a histidine-rich protein, Hpn: potential for Ni2+ storage in Helicobacter pylori. Biochemical Journal. 393(1). 285–293. 87 indexed citations
18.
Tanner, Julian A., Bo-Jian Zheng, Jie Zhou, et al.. (2005). The Adamantane-Derived Bananins Are Potent Inhibitors of the Helicase Activities and Replication of SARS Coronavirus. Chemistry & Biology. 12(3). 303–311. 148 indexed citations
19.
Yin, Wenxuan, Xuesong Wu, Liu Guang, et al.. (2005). Targeted correction of a chromosomal point mutation by modified single-stranded oligonucleotides in a GFP recovery system. Biochemical and Biophysical Research Communications. 334(4). 1032–1041. 16 indexed citations
20.
Breen, Rachel, et al.. (2003). The mechanism of 7,8-diaminopelargonate synthase; the role of S-adenosylmethionine as the amino donor. Organic & Biomolecular Chemistry. 1(20). 3498–3498. 15 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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