Judy L. Williamson

468 total citations
18 papers, 383 citations indexed

About

Judy L. Williamson is a scholar working on Molecular Biology, Genetics and Insect Science. According to data from OpenAlex, Judy L. Williamson has authored 18 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Genetics and 5 papers in Insect Science. Recurrent topics in Judy L. Williamson's work include Yersinia bacterium, plague, ectoparasites research (5 papers), Vector-borne infectious diseases (4 papers) and Insect and Pesticide Research (3 papers). Judy L. Williamson is often cited by papers focused on Yersinia bacterium, plague, ectoparasites research (5 papers), Vector-borne infectious diseases (4 papers) and Insect and Pesticide Research (3 papers). Judy L. Williamson collaborates with scholars based in United States, New Zealand and France. Judy L. Williamson's co-authors include Judd M. Aiken, Tonie E. Rocke, Richard F. Marsh, Susan R. Smith, David W. Severson, Barry D. Bavister, Jorge E. Osorio, Polani B. Seshagiri, Bradford S. Powell and Brent Gilpin and has published in prestigious journals such as Journal of Biological Chemistry, Applied and Environmental Microbiology and Journal of Virology.

In The Last Decade

Judy L. Williamson

17 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Judy L. Williamson United States 13 170 140 94 52 44 18 383
Daniel A. Vasco United States 8 120 0.7× 118 0.8× 31 0.3× 26 0.5× 8 0.2× 16 428
R. Barlow United Kingdom 12 81 0.5× 54 0.4× 18 0.2× 19 0.4× 22 0.5× 21 412
K. K. Misra India 10 80 0.5× 28 0.2× 72 0.8× 66 1.3× 37 0.8× 41 506
S. Narang United States 12 204 1.2× 57 0.4× 144 1.5× 52 1.0× 19 0.4× 57 443
Graciela Nora Arenas Argentina 7 70 0.4× 20 0.1× 27 0.3× 19 0.4× 19 0.4× 15 300
Amr Abouelleil United States 7 269 1.6× 110 0.8× 18 0.2× 77 1.5× 2 0.0× 7 456
Bonnie J. Stewart Australia 8 176 1.0× 105 0.8× 15 0.2× 72 1.4× 11 0.3× 11 361
Hyun‐Joo Sohn South Korea 13 291 1.7× 35 0.3× 14 0.1× 16 0.3× 93 2.1× 35 669
Kwang Shik Choi South Korea 12 121 0.7× 20 0.1× 297 3.2× 14 0.3× 5 0.1× 53 442
David L. Kreider United States 13 40 0.2× 97 0.7× 18 0.2× 33 0.6× 19 0.4× 35 408

Countries citing papers authored by Judy L. Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Judy L. Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Judy L. Williamson. 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 Judy L. Williamson. The network helps show where Judy L. Williamson may publish in the future.

Co-authorship network of co-authors of Judy L. Williamson

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

All Works

18 of 18 papers shown
1.
Devane, Megan, et al.. (2024). Metagenomic evaluation of bacteria in drinking water using full-length 16S rRNA amplicons. Journal of Water and Health. 22(8). 1429–1443. 1 indexed citations
2.
Biggins, Dean E., et al.. (2021). Enzootic plague reduces survival of Mexican woodrats (Neotoma mexicana) in Colorado. Ecosphere. 12(2). 13 indexed citations
3.
Jiang, Min, et al.. (2019). S-Palmitoylation of junctophilin-2 is critical for its role in tethering the sarcoplasmic reticulum to the plasma membrane. Journal of Biological Chemistry. 294(36). 13487–13501. 28 indexed citations
4.
Rocke, Tonie E., et al.. (2015). Age at Vaccination May Influence Response to Sylvatic Plague Vaccine (SPV) in Gunnison’s Prairie Dogs (Cynomys gunnisoni). EcoHealth. 12(2). 278–287. 18 indexed citations
5.
Brunton, Cheryl, et al.. (2014). A waterborne outbreak of campylobacteriosis in the South Island of New Zealand due to a failure to implement a multi-barrier approach. Journal of Water and Health. 12(3). 555–563. 27 indexed citations
6.
Rocke, Tonie E., et al.. (2011). Resistance to Plague Among Black-Tailed Prairie Dog Populations. Vector-Borne and Zoonotic Diseases. 12(2). 111–116. 28 indexed citations
7.
Rocke, Tonie E., et al.. (2010). Consumption of Baits Containing Raccoon Pox-Based Plague Vaccines Protects Black-Tailed Prairie Dogs ( Cynomys ludovicianus ). Vector-Borne and Zoonotic Diseases. 10(1). 53–58. 39 indexed citations
8.
Rocke, Tonie E., Keith P. Iams, Sandra J. Dawe, et al.. (2009). Further development of raccoon poxvirus-vectored vaccines against plague (Yersinia pestis). Vaccine. 28(2). 338–344. 12 indexed citations
9.
Nol, Pauline, Judy L. Williamson, Tonie E. Rocke, & Thomas M. Yuill. (2004). Detection of Clostridium botulinum Type C Cells in the Gastrointestinal Tracts of Mozambique Tilapia (Oreochromis mossambicus) by Polymerase Chain Reaction. Journal of Wildlife Diseases. 40(4). 749–753. 10 indexed citations
10.
Williamson, Judy L., Tonie E. Rocke, & Judd M. Aiken. (1999). In Situ Detection of the Clostridium botulinum Type C 1 Toxin Gene in Wetland Sediments with a Nested PCR Assay. Applied and Environmental Microbiology. 65(7). 3240–3243. 41 indexed citations
11.
Seshagiri, Polani B., Debbie McKenzie, Barry D. Bavister, Judy L. Williamson, & Judd M. Aiken. (1992). Golden hamster embryonic genome activation occurs at the two‐cell stage: Correlation with major developmental changes. Molecular Reproduction and Development. 32(3). 229–235. 26 indexed citations
12.
Baehrecke, Eric H., Michael R. Strand, Judy L. Williamson, & Judd M. Aiken. (1992). Stage‐specific protein and mRNA synthesis during morphogenesis of the polyembryonic parasitoid Copidosoma floridanum (Ashmead) (Hymenoptera: Encyrtidae). Archives of Insect Biochemistry and Physiology. 19(2). 81–92. 3 indexed citations
13.
Severson, David W., Judy L. Williamson, & Judd M. Aiken. (1991). Aging and transcriptional activity in worker honey bees. Apidologie. 22(2). 105–108. 1 indexed citations
14.
Severson, David W., Judy L. Williamson, & Judd M. Aiken. (1991). Nucleotide sequence of a middle repetitive DNA from honey bees. Gene. 97(2). 313–314.
15.
Seshagiri, Polani B., Barry D. Bavister, Judy L. Williamson, & Judd M. Aiken. (1990). Qualitative comparison of protein production at different stages of hamster preimplantation embryo development. Cell Differentiation and Development. 31(3). 161–168. 12 indexed citations
16.
Aiken, Judd M., et al.. (1990). Presence of mitochondrial D-loop DNA in scrapie-infected brain preparations enriched for the prion protein. Journal of Virology. 64(7). 3265–3268. 47 indexed citations
17.
Severson, David W., Judy L. Williamson, & Judd M. Aiken. (1989). Caste-specific transcription in the female honey bee. Insect Biochemistry. 19(2). 215–220. 32 indexed citations
18.
Aiken, Judd M., Judy L. Williamson, & Richard F. Marsh. (1989). Evidence of mitochondrial involvement in scrapie infection. Journal of Virology. 63(4). 1686–1694. 45 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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