Stephen Noell

3.6k total citations · 1 hit paper
5 papers, 254 citations indexed

About

Stephen Noell is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Stephen Noell has authored 5 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 1 paper in Infectious Diseases. Recurrent topics in Stephen Noell's work include Computational Drug Discovery Methods (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). Stephen Noell is often cited by papers focused on Computational Drug Discovery Methods (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). Stephen Noell collaborates with scholars based in United States. Stephen Noell's co-authors include Claire M. Steppan, S.E. Greasley, Rose Ann Ferre, Ben Bolaños, Kimberly F. Fennell, Al Stewart, Olga Plotnikova, Timothy K. Craig, Jianhua Liu and Christine Oborski and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Analytical Chemistry.

In The Last Decade

Stephen Noell

5 papers receiving 245 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.

Structural basis for the in vitro efficacy of nirmatrelvir against SARS-CoV-2 variants

2022 114 citations S.E. Greasley, Stephen Noell et al. Journal of Biological Chemistry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen Noell United States	5	100	86	73	58	51	5	254
Jeanette Reinshagen Germany	9	150 1.5×	50 0.6×	65 0.9×	46 0.8×	17 0.3×	17	266
Eleonora Gianti United States	13	217 2.2×	51 0.6×	53 0.7×	28 0.5×	23 0.5×	20	388
Yulong Shi China	10	189 1.9×	111 1.3×	120 1.6×	20 0.3×	10 0.2×	25	343
Dongping Ma United States	7	167 1.7×	50 0.6×	64 0.9×	20 0.3×	17 0.3×	15	338
Runduo Liu China	8	188 1.9×	92 1.1×	164 2.2×	51 0.9×	18 0.4×	23	321
Fukang Yang United States	9	74 0.7×	35 0.4×	32 0.4×	112 1.9×	16 0.3×	22	246
Gurubasavaraj V. Pujar India	10	110 1.1×	56 0.7×	43 0.6×	132 2.3×	14 0.3×	28	347
Shuoyan Tan China	8	227 2.3×	34 0.4×	179 2.5×	43 0.7×	12 0.2×	19	343
Hannah J. Maple United Kingdom	7	213 2.1×	24 0.3×	38 0.5×	28 0.5×	67 1.3×	19	304
Szymon Pach Germany	8	146 1.5×	32 0.4×	119 1.6×	64 1.1×	7 0.1×	13	283

Countries citing papers authored by Stephen Noell

Since Specialization

Citations

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

Fields of papers citing papers by Stephen Noell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Noell

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

All Works

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5 of 5 papers shown

1.

Greasley, S.E., Stephen Noell, Olga Plotnikova, et al.. (2022). Structural basis for the in vitro efficacy of nirmatrelvir against SARS-CoV-2 variants. Journal of Biological Chemistry. 298(6). 101972–101972. 114 indexed citations breakdown →

2.

Zhang, Hui, Chang Liu, Lucien P. Ghislain, et al.. (2021). Acoustic Ejection Mass Spectrometry for High-Throughput Analysis. Analytical Chemistry. 93(31). 10850–10861. 65 indexed citations

3.

Gopalsamy, Ariamala, Arjun Narayanan, Shenping Liu, et al.. (2017). Design of Potent mRNA Decapping Scavenger Enzyme (DcpS) Inhibitors with Improved Physicochemical Properties To Investigate the Mechanism of Therapeutic Benefit in Spinal Muscular Atrophy (SMA). Journal of Medicinal Chemistry. 60(7). 3094–3108. 14 indexed citations

4.

Berger, Zdenek, Sarah E. Perkins, Claude Ambroise, et al.. (2015). Tool Compounds Robustly Increase Turnover of an Artificial Substrate by Glucocerebrosidase in Human Brain Lysates. PLoS ONE. 10(3). e0119141–e0119141. 11 indexed citations

5.

Efremov, Ivan, F.F. Vajdos, Kris A. Borzilleri, et al.. (2012). Discovery and Optimization of a Novel Spiropyrrolidine Inhibitor of β-Secretase (BACE1) through Fragment-Based Drug Design. Journal of Medicinal Chemistry. 55(21). 9069–9088. 50 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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