James W. Snyder

3.8k total citations · 4 hit papers
64 papers, 2.0k citations indexed

About

James W. Snyder is a scholar working on Molecular Biology, Clinical Biochemistry and Epidemiology. According to data from OpenAlex, James W. Snyder has authored 64 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Clinical Biochemistry and 16 papers in Epidemiology. Recurrent topics in James W. Snyder's work include Bacterial Identification and Susceptibility Testing (18 papers), Streptococcal Infections and Treatments (8 papers) and Infective Endocarditis Diagnosis and Management (8 papers). James W. Snyder is often cited by papers focused on Bacterial Identification and Susceptibility Testing (18 papers), Streptococcal Infections and Treatments (8 papers) and Infective Endocarditis Diagnosis and Management (8 papers). James W. Snyder collaborates with scholars based in United States, Denmark and Egypt. James W. Snyder's co-authors include Sandra S. Richter, Barbara Robinson-Dunn, Karen C. Carroll, Melvin P. Weinstein, Robin Patel, Bobbi S. Pritt, Miller Jm, Richard B. Thomson, Sue C. Kehl and Peter H. Gilligan and has published in prestigious journals such as Diabetes Care, Clinical Microbiology Reviews and Clinical Infectious Diseases.

In The Last Decade

James W. Snyder

61 papers receiving 1.9k citations

Hit Papers

A Guide to Utilization of the Microbiology Laboratory for... 2013 2026 2017 2021 2013 2018 2018 2024 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Guide to Utilization of the Microbiology Laboratory for Diagnosis of Infectious Diseases: 2013 Recommendations by the Infectious Diseases Society of America (IDSA) and the American Society for Microbiology (ASM)a
    2013 392 citations Ellen Jo Baron, Miller Jm et al. Clinical Infectious Diseases profile →
  2. A Guide to Utilization of the Microbiology Laboratory for Diagnosis of Infectious Diseases: 2018 Update by the Infectious Diseases Society of America and the American Society for Microbiologya
    2018 350 citations Miller Jm, Sheldon Campbell et al. Clinical Infectious Diseases profile →
  3. A Guide to Utilization of the Microbiology Laboratory for Diagnosis of Infectious Diseases: 2018 Update by the Infectious Diseases Society of America and the American Society for Microbiologya
    2018 323 citations Miller Jm, Sheldon Campbell et al. Clinical Infectious Diseases profile →
  4. Guide to Utilization of the Microbiology Laboratory for Diagnosis of Infectious Diseases: 2024 Update by the Infectious Diseases Society of America (IDSA) and the American Society for Microbiology (ASM)
    2024 62 citations Miller Jm, Sheldon Campbell et al. Clinical Infectious Diseases profile →

Peers

James W. Snyder
Yuka Yamagishi Japan
E. J. C. Goldstein United States
Hiroshige Mikamo Japan
Leona W. Ayers United States
Hee‐Chang Jang South Korea
Joon‐Sup Yeom South Korea
Sheldon Campbell United States
Randall S. Edson United States
C. Ruef Switzerland
Jeffrey D. Band United States
Yuka Yamagishi Japan
James W. Snyder
Citations per year, relative to James W. Snyder James W. Snyder (= 1×) peers Yuka Yamagishi

Countries citing papers authored by James W. Snyder

Since Specialization
Citations

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

Fields of papers citing papers by James W. Snyder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James W. Snyder. 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 James W. Snyder. The network helps show where James W. Snyder may publish in the future.

Co-authorship network of co-authors of James W. Snyder

This figure shows the co-authorship network connecting the top 25 collaborators of James W. Snyder. A scholar is included among the top collaborators of James W. Snyder 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 James W. Snyder. James W. Snyder 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.
Snyder, James W., et al.. (2024). Performance of the LifeScale automated rapid phenotypic antimicrobial susceptibility testing on Gram-negative rods directly from positive blood cultures. Journal of Clinical Microbiology. 62(12). e0092224–e0092224. 3 indexed citations
2.
Weissfeld, Alice S., Vickie S. Baselski, Nancy E. Cornish, et al.. (2024). The American Society for Microbiology collaboration with the CDC Laboratory Medicine Best Practices initiative for evidence-based laboratory medicine. Clinical Microbiology Reviews. 37(4). e0006518–e0006518. 2 indexed citations
3.
Qu, Hui‐Qi, Charlly Kao, James Garifallou, et al.. (2023). Single Cell Transcriptome Analysis of Peripheral Blood Mononuclear Cells in Freshly Isolated versus Stored Blood Samples. Genes. 14(1). 142–142. 3 indexed citations
4.
Qu, Hui‐Qi, James W. Snyder, Joseph Glessner, et al.. (2022). Circulating LIGHT (TNFSF14) and Interleukin-18 Levels in Sepsis-Induced Multi-Organ Injuries. Biomedicines. 10(2). 264–264. 11 indexed citations
5.
Snyder, James W., et al.. (2021). Digital imaging for reading of direct rapid antibiotic susceptibility tests from positive blood cultures. European Journal of Clinical Microbiology & Infectious Diseases. 40(10). 2105–2112. 3 indexed citations
6.
Cornish, Nancy E., Nancy Anderson, Matthew J. Arduino, et al.. (2021). Clinical Laboratory Biosafety Gaps: Lessons Learned from Past Outbreaks Reveal a Path to a Safer Future. Clinical Microbiology Reviews. 34(3). e0012618–e0012618. 22 indexed citations
7.
Arnold, Forest W., et al.. (2021). The reliability of saliva for the detection of SARS-CoV-2 in symptomatic and asymptomatic patients: Insights on the diagnostic performance and utility for COVID-19 screening. Diagnostic Microbiology and Infectious Disease. 101(3). 115450–115450. 9 indexed citations
8.
Snyder, James W., et al.. (2020). Automated preparation for identification and antimicrobial susceptibility testing: evaluation of a research use only prototype, the BD Kiestra IdentifA/SusceptA system. Clinical Microbiology and Infection. 27(5). 783.e1–783.e5. 6 indexed citations
9.
Halstead, Diane, et al.. (2020). Reducing Blood Culture Contamination Rates: Experiences of Four Hospital Systems. Infectious Diseases and Therapy. 9(2). 389–401. 16 indexed citations
10.
Cardinale, Christopher J., Dong Li, Lifeng Tian, et al.. (2016). Association of a rare NOTCH4 coding variant with systemic sclerosis: a family-based whole exome sequencing study. BMC Musculoskeletal Disorders. 17(1). 462–462. 11 indexed citations
11.
Snyder, James W., et al.. (2014). Two fatal Ehrlichia cases with complete autopsies. JMM Case Reports. 1(1). 4 indexed citations
12.
Guo, Yiran, Ivan Prokudin, Cong Yu, et al.. (2014). Advantage of Whole Exome Sequencing over Allele-Specific and Targeted Segment Sequencing in Detection of NovelTULP1Mutation in Leber Congenital Amaurosis. Ophthalmic Genetics. 36(4). 333–338. 12 indexed citations
13.
Michel, Lea, James W. Snyder, Keith Grimaldi, et al.. (2013). Dual Orientation of the Outer Membrane Lipoprotein P6 of Nontypeable Haemophilus influenzae. Journal of Bacteriology. 195(14). 3252–3259. 26 indexed citations
14.
15.
Baron, Ellen Jo, Miller Jm, Melvin P. Weinstein, et al.. (2013). A Guide to Utilization of the Microbiology Laboratory for Diagnosis of Infectious Diseases: 2013 Recommendations by the Infectious Diseases Society of America (IDSA) and the American Society for Microbiology (ASM)a. Clinical Infectious Diseases. 57(4). e22–e121. 392 indexed citations breakdown →
16.
Moore, Grace D., et al.. (2005). Differential expression of cdk inhibitors p16, p21cip1, p27kip1, and cyclin E in cervical cytological smears prepared by the ThinPrep method. Diagnostic Cytopathology. 32(2). 82–87. 13 indexed citations
17.
Snyder, James W., et al.. (2003). Quality Improvement and Cost Reduction Realized by a Purchaser Through Diabetes Disease Management. Disease Management. 6(4). 233–241. 18 indexed citations
18.
Franklin, Glen A., et al.. (2002). Emergence of Resistant Microbes in Critical Care Units Is Transient, Despite an Unrestricted Formulary and Multiple Antibiotic Trials. Surgical Infections. 3(2). 135–144. 11 indexed citations
19.
Snyder, James W.. (2001). Different Approaches to Disease Management in a Managed Care Organization: Lessons Learned. Disease Management. 4(4). 179–188. 2 indexed citations
20.
Snyder, James W., et al.. (1991). An In Vitro Study of the Potency and Stability of Fortified Ophthalmic Antibiotic Preparations. American Journal of Ophthalmology. 111(6). 686–689. 22 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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