Daniel S. Garrett

3.3k total citations · 1 hit paper
26 papers, 2.8k citations indexed

About

Daniel S. Garrett is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Daniel S. Garrett has authored 26 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Materials Chemistry and 7 papers in Spectroscopy. Recurrent topics in Daniel S. Garrett's work include Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (9 papers) and RNA and protein synthesis mechanisms (8 papers). Daniel S. Garrett is often cited by papers focused on Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (9 papers) and RNA and protein synthesis mechanisms (8 papers). Daniel S. Garrett collaborates with scholars based in United States, South Korea and Ethiopia. Daniel S. Garrett's co-authors include G. Marius Clore, Angela M. Gronenborn, Robert Powers, Alan Peterkofsky, Yeong‐Jae Seok, John‐Stephen Taylor, John Kuszewski, Carl J. March, Patricia J. Lodi and Geerten W. Vuister and has published in prestigious journals such as Science, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Daniel S. Garrett

26 papers receiving 2.7k citations

Hit Papers

align trajectories

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.

A common sense approach to peak picking in two-, three-, and four-dimensional spectra using automatic computer analysis of contour diagrams

1991 611 citations Daniel S. Garrett, Robert Powers et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel S. Garrett United States	22	2.3k	851	449	298	290	26	2.8k
Rasmus H. Fogh United Kingdom	16	2.8k 1.2×	606 0.7×	450 1.0×	267 0.9×	175 0.6×	27	3.6k
Ranjith Muhandiram Canada	13	2.8k 1.2×	744 0.9×	552 1.2×	172 0.6×	304 1.0×	13	3.5k
Richard Blevins United States	12	2.5k 1.1×	465 0.5×	278 0.6×	254 0.9×	412 1.4×	15	3.3k
Steven M. Pascal United States	19	2.6k 1.1×	569 0.7×	486 1.1×	193 0.6×	207 0.7×	44	3.2k
John Ionides United Kingdom	6	2.3k 1.0×	466 0.5×	292 0.7×	239 0.8×	155 0.5×	9	2.9k
G Gish Canada	9	2.2k 1.0×	424 0.5×	297 0.7×	243 0.8×	292 1.0×	9	2.9k
Kurt W�thrich Switzerland	15	2.2k 1.0×	628 0.7×	527 1.2×	166 0.6×	159 0.5×	23	2.7k
Michael Wittekind United States	26	2.4k 1.1×	581 0.7×	350 0.8×	212 0.7×	259 0.9×	42	3.4k
Robert O. Fox United States	28	2.8k 1.2×	707 0.8×	364 0.8×	291 1.0×	190 0.7×	58	3.4k
Alex U. Singer Canada	18	2.2k 1.0×	505 0.6×	366 0.8×	190 0.6×	201 0.7×	28	3.0k

Countries citing papers authored by Daniel S. Garrett

Since Specialization

Citations

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

Fields of papers citing papers by Daniel S. Garrett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel S. Garrett

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

All Works

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20 of 20 papers shown

Cai, Mengli, et al.. (2024). A Transient, Excited Species of the Autoinhibited α-State of the Bacterial Transcription Factor RfaH May Represent an Early Intermediate on the Fold-Switching Pathway. Biochemistry. 63(16). 2030–2039. 3 indexed citations

Garrett, Daniel S., Mengli Cai, & G. Marius Clore. (2019). XIPP: multi-dimensional NMR analysis software. Journal of Biomolecular NMR. 74(1). 9–25. 8 indexed citations

Kuszewski, John, Charles D. Schwieters, Daniel S. Garrett, et al.. (2004). Completely Automated, Highly Error-Tolerant Macromolecular Structure Determination from Multidimensional Nuclear Overhauser Enhancement Spectra and Chemical Shift Assignments. Journal of the American Chemical Society. 126(20). 6258–6273. 62 indexed citations

Peterkofsky, Alan, Guangshun Wang, Daniel S. Garrett, et al.. (2001). Three-dimensional structures of protein-protein complexes in the E. coli PTS.. PubMed. 3(3). 347–54. 25 indexed citations

Wang, Guangshun, Melissa Sondej, Daniel S. Garrett, Alan Peterkofsky, & G. Marius Clore. (2000). A Common Interface on Histidine-containing Phosphocarrier Protein for Interaction with Its Partner Proteins. Journal of Biological Chemistry. 275(22). 16401–16403. 27 indexed citations

Gronenborn, Angela M., G. Marius Clore, Daniel S. Garrett, Yeong‐Jae Seok, & Alan Peterkofsky. (1999). Solution structure of the 40,000 Mr phosphoryl transfer complex between the N-terminal domain of enzyme I and HPr.. Nature Structural Biology. 6(2). 166–173. 177 indexed citations

Clore, G. Marius & Daniel S. Garrett. (1999). R-factor, FreeR, and Complete Cross-Validation for Dipolar Coupling Refinement of NMR Structures. Journal of the American Chemical Society. 121(39). 9008–9012. 216 indexed citations

Garrett, Daniel S., et al.. (1998). Tautomeric state and pK_a of the phosphorylated active site histidine in the N‐terminal domain of enzyme I of the Escherichia coli phosphoenolpyruvate: Sugar phosphotransferase system. Protein Science. 7(3). 789–793. 21 indexed citations

Tjandra, Nico, Daniel S. Garrett, Angela M. Gronenborn, Ad Bax, & G. Marius Clore. (1997). Defining long range order in NMR structure determination from the dependence of heteronuclear relaxation times on rotational diffusion anisotropy. Nature Structural Biology. 4(6). 443–449. 140 indexed citations

10.

Garrett, Daniel S., Yeong‐Jae Seok, Der‐Ing Liao, et al.. (1997). Solution Structure of the 30 kDa N-Terminal Domain of Enzyme I of the Escherichia coli Phosphoenolpyruvate:Sugar Phosphotransferase System by Multidimensional NMR. Biochemistry. 36(9). 2517–2530. 132 indexed citations

11.

Garrett, Daniel S., Patricia J. Lodi, Yousif Shamoo, et al.. (1994). Determination of the Secondary Structure and Folding Topology of an RNA Binding Domain of Mammalian hnRNP A1 Protein Using Three-Dimensional Heteronuclear Magnetic Resonance Spectroscopy. Biochemistry. 33(10). 2852–2858. 37 indexed citations

12.

Garrett, Daniel S., John Kuszewski, Patricia J. Lodi, et al.. (1994). The Impact of Direct Refinement against Three-Bond HN-CαH Coupling Constants on Protein Structure Determination by NMR. Journal of Magnetic Resonance Series B. 104(1). 99–103. 125 indexed citations

13.

Lodi, Patricia J., Daniel S. Garrett, John Kuszewski, et al.. (1994). High-Resolution Solution Structure of the β Chemokine hMIP-1β by Multidimensional NMR. Science. 263(5154). 1762–1767. 180 indexed citations

14.

Powers, Robert, et al.. (1993). The high-resolution, three-dimensional solution structure of human interleukin-4 determined by multidimensional heteronuclear magnetic resonance spectroscopy. Biochemistry. 32(26). 6744–6762. 107 indexed citations

15.

Powers, Robert, G. Marius Clore, Daniel S. Garrett, & Angela M. Gronenborn. (1993). Relationships Between the Precision of High-Resolution Protein NMR Structures, Solution-Order Parameters, and Crystallographic B Factors. Journal of Magnetic Resonance Series B. 101(3). 325–327. 31 indexed citations

16.

Garrett, Daniel S., et al.. (1992). Determination of the secondary structure and folding topology of human interleukin-4 using three-dimensional heteronuclear magnetic resonance spectroscopy. Biochemistry. 31(17). 4347–4353. 20 indexed citations

17.

Powers, Robert, G. Marius Clore, Ad Bax, et al.. (1991). Secondary structure of the ribonuclease H domain of the human immunodeficiency virus reverse transcriptase in solution using three-dimensional double and triple resonance heteronuclear magnetic resonance spectroscopy. Journal of Molecular Biology. 221(4). 1081–1090. 27 indexed citations

18.

Taylor, John‐Stephen, et al.. (1990). Proton NMR assignment and melting temperature study of cis-syn and trans-syn thymine dimer containing duplexes of d(CGTATTATGC).cntdot.d(GCATAATACG). Biochemistry. 29(37). 8858–8866. 96 indexed citations

19.

Taylor, John‐Stephen, et al.. (1988). Solution-state structure of the Dewar pyrimidinone photoproduct of thymidylyl-(3' .fwdarw. 5')-thymidine. Biochemistry. 27(19). 7206–7215. 75 indexed citations

20.

Taylor, John‐Stephen, Daniel S. Garrett, & Michael J. Wang. (1988). Models for the solution state structure of the (6–4) photoproduct of thymidylyl‐(3′ → 5′)‐thymidine derived via a distance‐ and angle‐constrained conformation search procedure. Biopolymers. 27(10). 1571–1593. 33 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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