G. Stephen Noell

16 total papers · 554 total citations
13 papers, 368 citations indexed

About

G. Stephen Noell is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, G. Stephen Noell has authored 13 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in G. Stephen Noell's work include RNA Interference and Gene Delivery (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). G. Stephen Noell is often cited by papers focused on RNA Interference and Gene Delivery (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). G. Stephen Noell collaborates with scholars based in United States, Germany and Canada. G. Stephen Noell's co-authors include Paul Galatsis, Warren D. Hirst, Elie Needle, Mary DeRome, Wendy Thomas, June Rae Merwin, George L. Spitalny, Henry C. Chiou, Travis T. Wager and Bethany L. Kormos and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Neurochemistry and Journal of Immunological Methods.

In The Last Decade

G. Stephen Noell

13 papers receiving 349 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
G. Stephen Noell	190	134	48	45	42	13	368
Zhongmin Yuan	306 1.6×	48 0.4×	31 0.6×	35 0.8×	35 0.8×	18	442
Eun‐Jung Ann	342 1.8×	49 0.4×	30 0.6×	40 0.9×	11 0.3×	20	438
Azadeh Kia	189 1.0×	158 1.2×	70 1.5×	29 0.6×	7 0.2×	12	367
Damian M. S. Spencer	233 1.2×	143 1.1×	51 1.1×	141 3.1×	10 0.2×	11	434
Zhengqiu Zhou	167 0.9×	52 0.4×	74 1.5×	13 0.3×	16 0.4×	18	370
Peizhou Liang	291 1.5×	30 0.2×	35 0.7×	29 0.6×	23 0.5×	9	427
Qianying Yuan	209 1.1×	55 0.4×	19 0.4×	63 1.4×	17 0.4×	19	407
Ajoy Kumar Samraj	265 1.4×	39 0.3×	19 0.4×	24 0.5×	21 0.5×	12	409
D. Naidoo	98 0.5×	26 0.2×	27 0.6×	37 0.8×	53 1.3×	20	335
Janet E. Holley	172 0.9×	29 0.2×	61 1.3×	56 1.2×	68 1.6×	15	419

Countries citing papers authored by G. Stephen Noell

Since Specialization

Citations

This map shows the geographic impact of G. 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 G. 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 G. Stephen Noell more than expected).

Fields of papers citing papers by G. Stephen Noell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Stephen Noell

This figure shows the co-authorship network connecting the top 25 collaborators of G. Stephen Noell. A scholar is included among the top collaborators of G. 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 G. Stephen Noell. G. 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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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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