Nicholas Kelley

460 total citations
10 papers, 342 citations indexed

About

Nicholas Kelley is a scholar working on Molecular Biology, Computational Theory and Mathematics and Physiology. According to data from OpenAlex, Nicholas Kelley has authored 10 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 2 papers in Physiology. Recurrent topics in Nicholas Kelley's work include Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers) and Biosimilars and Bioanalytical Methods (2 papers). Nicholas Kelley is often cited by papers focused on Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers) and Biosimilars and Bioanalytical Methods (2 papers). Nicholas Kelley collaborates with scholars based in United States, Switzerland and India. Nicholas Kelley's co-authors include Vijay S. Pande, Peter M. Kasson, Marija Vrljic, Axel T. Brünger, Xuhui Huang, Stephen J. Tam, Judith Frydman, Christoph Spiess, V. Vishal and Grant A. Krafft and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and PLoS ONE.

In The Last Decade

Nicholas Kelley

10 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas Kelley United States	7	274	70	42	40	35	10	342
Deepti Karandur United States	11	522 1.9×	48 0.7×	76 1.8×	17 0.4×	21 0.6×	15	638
Alan Chetwynd United Kingdom	8	358 1.3×	53 0.8×	70 1.7×	16 0.4×	48 1.4×	9	391
Ivan Haralampiev Germany	11	209 0.8×	37 0.5×	25 0.6×	84 2.1×	15 0.4×	19	338
Yoshiko Ishizuka‐Katsura Japan	14	541 2.0×	61 0.9×	68 1.6×	134 3.4×	20 0.6×	24	678
Joaquim Torra Spain	11	294 1.1×	77 1.1×	38 0.9×	37 0.9×	16 0.5×	17	480
Theresia Gutmann Germany	7	291 1.1×	50 0.7×	27 0.6×	33 0.8×	18 0.5×	10	412
Flaviyan Jerome Irudayanathan United States	11	272 1.0×	15 0.2×	53 1.3×	32 0.8×	16 0.5×	14	395
Sergey A. Goncharuk Russia	13	334 1.2×	91 1.3×	32 0.8×	7 0.2×	21 0.6×	43	456
Annette Duelli Sweden	10	259 0.9×	36 0.5×	110 2.6×	40 1.0×	23 0.7×	16	414
Matthias J. Knape Germany	11	224 0.8×	26 0.4×	45 1.1×	27 0.7×	12 0.3×	15	340

Countries citing papers authored by Nicholas Kelley

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas Kelley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas Kelley. 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 Nicholas Kelley. The network helps show where Nicholas Kelley may publish in the future.

Co-authorship network of co-authors of Nicholas Kelley

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

All Works

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10 of 10 papers shown

Siah, Kien Wei, Nicholas Kelley, Björn Holzhauer, et al.. (2021). Predicting drug approvals: The Novartis data science and artificial intelligence challenge. Patterns. 2(8). 100312–100312. 25 indexed citations

Siah, Kien Wei, Nicholas Kelley, Björn Holzhauer, et al.. (2021). Predicting Drug Approvals: The Novartis Data Science and Artificial Intelligence Challenge. SSRN Electronic Journal. 6 indexed citations

Pachkov, Mikhail, Phil Arnold, Saeed Omidi, et al.. (2019). Crunch: integrated processing and modeling of ChIP-seq data in terms of regulatory motifs. Genome Research. 29(7). 1164–1177. 6 indexed citations

Kelley, Nicholas, Thomas Schlitt, Anita Fernandez, et al.. (2017). AB0155 Learning sle pathological mechanisms from multi 'omics profiles. Annals of the Rheumatic Diseases. 76. 1101–1101. 17 indexed citations

Groot‐Kormelink, Paul J., Sandrine Ferrand, Nicholas Kelley, et al.. (2016). High Throughput Random Mutagenesis and Single Molecule Real Time Sequencing of the Muscle Nicotinic Acetylcholine Receptor. PLoS ONE. 11(9). e0163129–e0163129. 4 indexed citations

Kelley, Nicholas, Johannes Bischof, Korneel Hens, et al.. (2015). A large-scale, in vivo transcription factor screen defines bivalent chromatin as a key property of regulatory factors mediating Drosophila wing development. Genome Research. 25(4). 514–523. 33 indexed citations

Rajadas, Jayakumar, Corey W. Liu, Paul Novick, et al.. (2011). Rationally Designed Turn Promoting Mutation in the Amyloid-β Peptide Sequence Stabilizes Oligomers in Solution. PLoS ONE. 6(7). e21776–e21776. 18 indexed citations

Kelley, Nicholas, Xuhui Huang, Stephen J. Tam, et al.. (2009). The Predicted Structure of the Headpiece of the Huntingtin Protein and Its Implications on Huntingtin Aggregation. Journal of Molecular Biology. 388(5). 919–927. 65 indexed citations

Kelley, Nicholas, V. Vishal, Grant A. Krafft, & Vijay S. Pande. (2008). Simulating oligomerization at experimental concentrations and long timescales: A Markov state model approach. The Journal of Chemical Physics. 129(21). 214707–214707. 39 indexed citations

10.

Kasson, Peter M., et al.. (2006). Ensemble molecular dynamics yields submillisecond kinetics and intermediates of membrane fusion. Proceedings of the National Academy of Sciences. 103(32). 11916–11921. 129 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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