David A. Snyder

2.6k total citations
54 papers, 1.6k citations indexed

About

David A. Snyder is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, David A. Snyder has authored 54 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 11 papers in Materials Chemistry and 10 papers in Spectroscopy. Recurrent topics in David A. Snyder's work include Protein Structure and Dynamics (14 papers), Enzyme Structure and Function (9 papers) and NMR spectroscopy and applications (8 papers). David A. Snyder is often cited by papers focused on Protein Structure and Dynamics (14 papers), Enzyme Structure and Function (9 papers) and NMR spectroscopy and applications (8 papers). David A. Snyder collaborates with scholars based in United States, Spain and Israel. David A. Snyder's co-authors include Howard H. Tessler, Dennis Jackson, R. C. Entringer, G.T. Montelione, Rafael Brüschweiler, D. L. Weaver, Hiroko Yokoe, Bert Ph. M. Menco, Robert R. H. Anholt and Ann M. Rivers and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and The Journal of Chemical Physics.

In The Last Decade

David A. Snyder

53 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Snyder United States 23 594 268 258 238 232 54 1.6k
André Neves United Kingdom 26 839 1.4× 121 0.5× 7 0.0× 46 0.2× 245 1.1× 71 2.0k
Yi Cheng China 34 1.1k 1.8× 78 0.3× 4 0.0× 46 0.2× 620 2.7× 210 3.9k
Kazuhiko Fukui Japan 21 590 1.0× 204 0.8× 2 0.0× 101 0.4× 113 0.5× 114 1.4k
Azeem Hasan United States 12 839 1.4× 50 0.2× 798 3.1× 7 0.0× 52 0.2× 16 1.5k
Heinrich J. Huber Ireland 24 1.1k 1.9× 54 0.2× 12 0.0× 114 0.5× 6 0.0× 68 1.8k
M. Wada Japan 26 877 1.5× 342 1.3× 12 0.0× 22 0.1× 5 0.0× 164 3.2k
Benjamin T. Miller United States 29 996 1.7× 148 0.6× 1.0k 4.0× 85 0.4× 170 2.8k
Dan Hu China 24 668 1.1× 71 0.3× 184 0.7× 38 0.2× 93 1.6k
Michael J. Potter Canada 23 680 1.1× 114 0.4× 546 2.1× 147 0.6× 59 1.5k

Countries citing papers authored by David A. Snyder

Since Specialization
Citations

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

Fields of papers citing papers by David A. Snyder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A. Snyder

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Snyder. A scholar is included among the top collaborators of David A. 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 David A. Snyder. David A. 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.
Ladbury, Colton, George Somlo, Dongyun Yang, et al.. (2022). Long-Term Follow-Up of Multiple Myeloma Patients Treated with Tandem Autologous Transplantation Following Melphalan and Upon Recovery, Total Marrow Irradiation. Transplantation and Cellular Therapy. 28(7). 367.e1–367.e9. 5 indexed citations
2.
Sala, Davide, Yuanpeng J. Huang, David A. Snyder, et al.. (2019). Protein structure prediction assisted with sparse NMR data in CASP13. Proteins Structure Function and Bioinformatics. 87(12). 1315–1332. 16 indexed citations
3.
Snyder, David A.. (2019). On bounding the Thompson metric by Schatten norms. SHILAP Revista de lepidopterología. 6(1). 1614318–1614318. 1 indexed citations
4.
Snyder, David A., et al.. (2015). Analysis of ligand–protein exchange by Clustering of Ligand Diffusion Coefficient Pairs (CoLD-CoP). Journal of Magnetic Resonance. 255. 44–50. 3 indexed citations
5.
Tejero, Roberto, David A. Snyder, Binchen Mao, James M. Aramini, & G.T. Montelione. (2013). PDBStat: a universal restraint converter and restraint analysis software package for protein NMR. Journal of Biomolecular NMR. 56(4). 337–351. 47 indexed citations
6.
Lammertse, Daniel P., Linda Jones, Susan Charlifue, et al.. (2012). Autologous incubated macrophage therapy in acute, complete spinal cord injury: results of the phase 2 randomized controlled multicenter trial. Spinal Cord. 50(9). 661–671. 106 indexed citations
7.
Jones, Linda, Daniel P. Lammertse, Susan Charlifue, et al.. (2010). A phase 2 autologous cellular therapy trial in patients with acute, complete spinal cord injury: pragmatics, recruitment, and demographics. Spinal Cord. 48(11). 798–807. 32 indexed citations
8.
Brüschweiler, Rafael, et al.. (2010). A Covariance NMR Toolbox for MATLAB and OCTAVE. Journal of Magnetic Resonance. 209(1). 75–78. 18 indexed citations
9.
Andrec, Michael, David A. Snyder, Zhiyong Zhou, et al.. (2007). A large data set comparison of protein structures determined by crystallography and NMR: Statistical test for structural differences and the effect of crystal packing. Proteins Structure Function and Bioinformatics. 69(3). 449–465. 96 indexed citations
10.
Chen, Yanbin, Fengli Zhang, David A. Snyder, et al.. (2007). Quantitative covariance NMR by regularization. Journal of Biomolecular NMR. 38(1). 73–77. 15 indexed citations
11.
Kornhaber, G., David A. Snyder, Hunter Moseley, & G.T. Montelione. (2006). Identification of Zinc-ligated Cysteine Residues Based on 13Cα and 13Cβ Chemical Shift Data. Journal of Biomolecular NMR. 34(4). 259–269. 76 indexed citations
12.
Snyder, David A., et al.. (2001). The Value of Leadership in Implementing and Maintaining a Successful Health Promotion Program in the Naval Surface Force, U.S. Pacific Fleet. American Journal of Health Promotion. 15(6). 437–440. 20 indexed citations
13.
Rosenfeld, Steven I., et al.. (1999). Effectiveness of monitored anesthesia care in cataract surgery. Ophthalmology. 106(7). 1256–1261. 42 indexed citations
14.
15.
Snyder, David A., Ann M. Rivers, Hiroko Yokoe, Bert Ph. M. Menco, & Robert R. H. Anholt. (1991). Olfactomedin: purification, characterization, and localization of a novel olfactory glycoprotein. Biochemistry. 30(38). 9143–9153. 116 indexed citations
16.
MacGillivray, Dougald C., et al.. (1991). Transhiatal Esophagectomy in the Management of Perforated Esophageal Cancer. Military Medicine. 156(11). 634–636. 1 indexed citations
17.
Valentine, R. James, Dougald C. MacGillivray, John Denobile, David A. Snyder, & Norman M. Rich. (1990). Intermittent claudication caused by atherosclerosis in patients aged forty years and younger.. PubMed. 107(5). 560–5. 37 indexed citations
18.
Snyder, David A.. (1981). Vogt-Koyanagi-Harada Syndrome. American Journal of Ophthalmology. 92(2). 297–297. 2 indexed citations
19.
Entringer, R. C., Dennis Jackson, & David A. Snyder. (1976). Distance in graphs. Czechoslovak Mathematical Journal. 26(2). 283–296. 259 indexed citations
20.
Snyder, David A., et al.. (1976). Effects of Laser Photocoagulation on Adenine Nucleotides in Rabbit Retinas. Archives of Ophthalmology. 94(6). 1004–1008. 7 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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