Daniel J. Snyder

1.5k total citations
17 papers, 774 citations indexed

About

Daniel J. Snyder is a scholar working on Molecular Biology, Genetics and Molecular Medicine. According to data from OpenAlex, Daniel J. Snyder has authored 17 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Molecular Medicine. Recurrent topics in Daniel J. Snyder's work include Bacterial biofilms and quorum sensing (8 papers), Evolution and Genetic Dynamics (5 papers) and Antibiotic Resistance in Bacteria (4 papers). Daniel J. Snyder is often cited by papers focused on Bacterial biofilms and quorum sensing (8 papers), Evolution and Genetic Dynamics (5 papers) and Antibiotic Resistance in Bacteria (4 papers). Daniel J. Snyder collaborates with scholars based in United States and Switzerland. Daniel J. Snyder's co-authors include Vaughn S. Cooper, Alfonso Santos-López, C. W. Marshall, Michelle R. Scribner, Binghua Hao, M. Hong Nguyen, Cornelius J. Clancy, Yohei Doi, Ryan K. Shields and Shaoji Cheng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Daniel J. Snyder

17 papers receiving 767 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Snyder United States 14 376 288 172 146 122 17 774
Victor I. Band United States 10 221 0.6× 480 1.7× 124 0.7× 171 1.2× 101 0.8× 14 827
Alfredo Castañeda-García Spain 9 290 0.8× 329 1.1× 156 0.9× 102 0.7× 110 0.9× 13 652
Adam Waalkes United States 17 379 1.0× 161 0.6× 90 0.5× 72 0.5× 239 2.0× 38 759
Jacob E. Choby United States 11 395 1.1× 400 1.4× 93 0.5× 54 0.4× 184 1.5× 17 942
Genyan Liu China 16 321 0.9× 234 0.8× 122 0.7× 33 0.2× 221 1.8× 42 860
JoAnn Dzink-Fox United States 12 191 0.5× 259 0.9× 94 0.5× 117 0.8× 70 0.6× 22 569
Angelika Jellen-Ritter Germany 11 289 0.8× 363 1.3× 147 0.9× 169 1.2× 60 0.5× 11 710
Elena Tonin Italy 17 368 1.0× 194 0.7× 81 0.5× 61 0.4× 265 2.2× 33 838
Jin-Town Wang Taiwan 12 249 0.7× 454 1.6× 97 0.6× 110 0.8× 71 0.6× 14 763
Reza Ranjbar Iran 15 185 0.5× 226 0.8× 76 0.4× 35 0.2× 100 0.8× 32 664

Countries citing papers authored by Daniel J. Snyder

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Snyder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Snyder

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

All Works

17 of 17 papers shown
1.
Mustapha, Mustapha M., Vatsala Rangachar Srinivasa, M. Patrick Griffith, et al.. (2022). Genomic Diversity of Hospital-Acquired Infections Revealed through Prospective Whole-Genome Sequencing-Based Surveillance. mSystems. 7(3). e0138421–e0138421. 23 indexed citations
2.
Bruger, Eric L., Daniel J. Snyder, Vaughn S. Cooper, & Christopher M. Waters. (2021). Correction: Quorum sensing provides a molecular mechanism for evolution to tune and maintain investment in cooperation. The ISME Journal. 15(7). 2171–2171. 14 indexed citations
3.
Snyder, Daniel J., Chris Park, Aakash Keswani, et al.. (2021). Barriers to Collection and Use of Patient-Reported Outcomes A Multi-Institutional Survey of Surgeons and Care Teams.. PubMed. 79(3). 167–175. 6 indexed citations
4.
Snyder, Daniel J., Chris Park, Aakash Keswani, et al.. (2021). Orthopedic Surgeon and Care Team Perceptions and Use of Patient-Reported Outcomes in Total Joint Replacement Patients.. PubMed. 79(3). 176–185. 1 indexed citations
5.
Bruger, Eric L., Daniel J. Snyder, Vaughn S. Cooper, & Christopher M. Waters. (2020). Quorum sensing provides a molecular mechanism for evolution to tune and maintain investment in cooperation. The ISME Journal. 15(4). 1236–1247. 25 indexed citations
6.
Mhatre, Eisha, Daniel J. Snyder, Caroline B. Turner, et al.. (2020). One gene, multiple ecological strategies: A biofilm regulator is a capacitor for sustainable diversity. Proceedings of the National Academy of Sciences. 117(35). 21647–21657. 17 indexed citations
7.
8.
Snyder, Daniel J., Daigo Inoyama, Joel S. Freundlich, et al.. (2019). Structural basis of DSF recognition by its receptor RpfR and its regulatory interaction with the DSF synthase RpfF. PLoS Biology. 17(2). e3000123–e3000123. 26 indexed citations
9.
Ebmeier, Christopher C., Corinne Walsh, Daniel J. Snyder, et al.. (2019). Mutations that improve efficiency of a weak-link enzyme are rare compared to adaptive mutations elsewhere in the genome. eLife. 8. 19 indexed citations
10.
Kim, Juhan, Tobias Fuhrer, Uwe Sauer, et al.. (2019). Hidden resources in the Escherichia coli genome restore PLP synthesis and robust growth after deletion of the essential gene pdxB. Proceedings of the National Academy of Sciences. 116(48). 24164–24173. 27 indexed citations
11.
Santos-López, Alfonso, C. W. Marshall, Michelle R. Scribner, Daniel J. Snyder, & Vaughn S. Cooper. (2019). Evolutionary pathways to antibiotic resistance are dependent upon environmental structure and bacterial lifestyle. eLife. 8. 120 indexed citations
12.
Gloag, Erin S., C. W. Marshall, Daniel J. Snyder, et al.. (2019). Pseudomonas aeruginosa Interstrain Dynamics and Selection of Hyperbiofilm Mutants during a Chronic Infection. mBio. 10(4). 37 indexed citations
13.
Ebmeier, Christopher C., et al.. (2018). Synonymous mutations make dramatic contributions to fitness when growth is limited by a weak-link enzyme. PLoS Genetics. 14(8). e1007615–e1007615. 68 indexed citations
14.
Haidar, Ghady, Ryan K. Shields, Daniel J. Snyder, et al.. (2017). Ceftolozane-Tazobactam for the Treatment of Multidrug-Resistant Pseudomonas aeruginosa Infections: Clinical Effectiveness and Evolution of Resistance. Clinical Infectious Diseases. 65(1). 110–120. 205 indexed citations
15.
Putnam, Nicole E., Neal D. Hammer, Daniel J. Snyder, et al.. (2016). Repurposing the Nonsteroidal Anti-inflammatory Drug Diflunisal as an Osteoprotective, Antivirulence Therapy for Staphylococcus aureus Osteomyelitis. Antimicrobial Agents and Chemotherapy. 60(9). 5322–5330. 49 indexed citations
16.
Snyder, Daniel J., Nicole E. Putnam, Michael D. Valentino, et al.. (2015). Bacterial Hypoxic Responses Revealed as Critical Determinants of the Host-Pathogen Outcome by TnSeq Analysis of Staphylococcus aureus Invasive Infection. PLoS Pathogens. 11(12). e1005341–e1005341. 108 indexed citations
17.
Ray, J.D. & Daniel J. Snyder. (2002). Pedobarographic gait analysis on male subjects. 25–27. 2 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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