Daniel J. Kuster

804 total citations · 1 hit paper
7 papers, 659 citations indexed

About

Daniel J. Kuster is a scholar working on Molecular Biology, Organic Chemistry and Spectroscopy. According to data from OpenAlex, Daniel J. Kuster has authored 7 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Organic Chemistry and 2 papers in Spectroscopy. Recurrent topics in Daniel J. Kuster's work include Chemical Synthesis and Analysis (3 papers), Protein Structure and Dynamics (3 papers) and Click Chemistry and Applications (2 papers). Daniel J. Kuster is often cited by papers focused on Chemical Synthesis and Analysis (3 papers), Protein Structure and Dynamics (3 papers) and Click Chemistry and Applications (2 papers). Daniel J. Kuster collaborates with scholars based in United States and Australia. Daniel J. Kuster's co-authors include Garland R. Marshall, Dan Davini, David von Schack, Francis M. Sverdrup, Cédric Louvet, Peter Ruminski, Mahesh Yadav, Jeffrey A. Bluestone, Richard D. Head and Bryan A. Anthony and has published in prestigious journals such as The Journal of Experimental Medicine, PLoS ONE and Biophysical Journal.

In The Last Decade

Daniel J. Kuster

7 papers receiving 652 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.

Neuropilin-1 distinguishes natural and inducible regulatory T cells among regulatory T cell subsets in vivo

2012 519 citations Mahesh Yadav, Cédric Louvet et al. The Journal of Experimental Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel J. Kuster United States	6	448	199	85	53	32	7	659
Hoangdung Ho United States	12	236 0.5×	218 1.1×	92 1.1×	22 0.4×	17 0.5×	16	625
Amélie Weiss France	11	176 0.4×	408 2.1×	88 1.0×	59 1.1×	23 0.7×	18	678
Katalin Uray Hungary	13	153 0.3×	396 2.0×	64 0.8×	48 0.9×	72 2.3×	41	620
Parisa Sinai United Kingdom	10	106 0.2×	239 1.2×	68 0.8×	49 0.9×	18 0.6×	17	490
P Kontsek Slovakia	14	298 0.7×	190 1.0×	126 1.5×	35 0.7×	7 0.2×	56	566
N. Yamaguchi Japan	11	325 0.7×	173 0.9×	212 2.5×	40 0.8×	15 0.5×	12	621
Yaobin Liu United States	11	125 0.3×	364 1.8×	78 0.9×	36 0.7×	17 0.5×	15	614
Esther San José Spain	11	353 0.8×	185 0.9×	234 2.8×	96 1.8×	22 0.7×	17	560
Eva Kiermaier Germany	8	132 0.3×	315 1.6×	90 1.1×	30 0.6×	70 2.2×	13	504
Shawn M. Vogen United States	13	197 0.4×	402 2.0×	46 0.5×	15 0.3×	42 1.3×	14	549

Countries citing papers authored by Daniel J. Kuster

Since Specialization

Citations

This map shows the geographic impact of Daniel J. Kuster'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. Kuster 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. Kuster more than expected).

Fields of papers citing papers by Daniel J. Kuster

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Kuster, Daniel J., Chengyu Liu, John Fang, Jay W. Ponder, & Garland R. Marshall. (2015). High-Resolution Crystal Structures of Protein Helices Reconciled with Three-Centered Hydrogen Bonds and Multipole Electrostatics. PLoS ONE. 10(4). e0123146–e0123146. 24 indexed citations

2.

Yadav, Mahesh, Cédric Louvet, Dan Davini, et al.. (2012). Neuropilin-1 distinguishes natural and inducible regulatory T cells among regulatory T cell subsets in vivo. The Journal of Experimental Medicine. 209(10). 1713–1722. 519 indexed citations breakdown →

3.

Bourne, Gregory T., Daniel J. Kuster, & Garland R. Marshall. (2010). Synthesis of the Phenylpyridal Scaffold as a Helical Peptide Mimetic. Chemistry - A European Journal. 16(28). 8439–8445. 14 indexed citations

4.

Kuster, Daniel J., Sérgio M. Urahata, Jay W. Ponder, & Garland R. Marshall. (2009). From Data or Dogma? The Myth of the Ideal Helix. Biophysical Journal. 96(3). 5a–5a. 1 indexed citations

5.

Marshall, Garland R., Daniel J. Kuster, & Ye Che. (2009). Chemogenomics with Protein Secondary-Structure Mimetics. Methods in molecular biology. 575. 123–158. 6 indexed citations

6.

Marshall, Garland R., et al.. (2007). Back to the future: Ribonuclease A. Biopolymers. 90(3). 259–277. 77 indexed citations

7.

Kuster, Daniel J. & Garland R. Marshall. (2005). Validated ligand mapping of ACE active site. Journal of Computer-Aided Molecular Design. 19(8). 609–615. 18 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.

Explore authors with similar magnitude of impact