Richard M. Spencer

517 total citations
8 papers, 366 citations indexed

About

Richard M. Spencer is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Richard M. Spencer has authored 8 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Richard M. Spencer's work include Inhalation and Respiratory Drug Delivery (2 papers), Pluripotent Stem Cells Research (1 paper) and Effects and risks of endocrine disrupting chemicals (1 paper). Richard M. Spencer is often cited by papers focused on Inhalation and Respiratory Drug Delivery (2 papers), Pluripotent Stem Cells Research (1 paper) and Effects and risks of endocrine disrupting chemicals (1 paper). Richard M. Spencer collaborates with scholars based in United States and India. Richard M. Spencer's co-authors include Thomas B. Knudsen, David J. Dix, Nancy Baker, Thomas R. Transue, Tommy Cathey, Matthew T. Martin, Ann M. Richard, Fathi Elloumi, Keith A. Houck and Richard Judson and has published in prestigious journals such as PLoS Computational Biology, Toxicology and Applied Pharmacology and Chemical Research in Toxicology.

In The Last Decade

Richard M. Spencer

8 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richard M. Spencer United States	7	142	119	105	89	52	8	366
A. Middleton United Kingdom	15	436 3.1×	60 0.5×	75 0.7×	63 0.7×	31 0.6×	33	818
Clemens Wittwehr Italy	9	83 0.6×	115 1.0×	89 0.8×	65 0.7×	15 0.3×	20	329
Mounir Bouhifd United States	13	261 1.8×	93 0.8×	144 1.4×	101 1.1×	109 2.1×	25	537
Paul C. Brown United States	10	91 0.6×	59 0.5×	32 0.3×	66 0.7×	68 1.3×	26	351
Sam Ansari Switzerland	11	258 1.8×	63 0.5×	118 1.1×	14 0.2×	40 0.8×	21	541
Mark Holbrook United Kingdom	15	262 1.8×	51 0.4×	24 0.2×	77 0.9×	18 0.3×	22	558
Matt Moeser United States	6	93 0.7×	73 0.6×	153 1.5×	35 0.4×	13 0.3×	7	316
Rémi Dulize Switzerland	12	166 1.2×	30 0.3×	97 0.9×	17 0.2×	36 0.7×	17	350
Ty M. Thomson Switzerland	9	409 2.9×	55 0.5×	62 0.6×	11 0.1×	29 0.6×	12	590
Qingda Zang United States	9	95 0.7×	154 1.3×	50 0.5×	86 1.0×	27 0.5×	12	451

Countries citing papers authored by Richard M. Spencer

Since Specialization

Citations

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

Fields of papers citing papers by Richard M. Spencer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard M. Spencer. 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 Richard M. Spencer. The network helps show where Richard M. Spencer may publish in the future.

Co-authorship network of co-authors of Richard M. Spencer

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

All Works

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8 of 8 papers shown

Knudsen, Thomas B., et al.. (2020). Computational biology and in silico toxicodynamics. Current Opinion in Toxicology. 23-24(Oct-Dec 2020). 119–126. 10 indexed citations

Saili, Katerine S., Jill A. Franzosa, Nancy Baker, et al.. (2019). Systems modeling of developmental vascular toxicity. Current Opinion in Toxicology. 15(1). 55–63. 17 indexed citations

Hutson, M. Shane, Maxwell C. K. Leung, Nancy Baker, Richard M. Spencer, & Thomas B. Knudsen. (2017). Computational Model of Secondary Palate Fusion and Disruption. Chemical Research in Toxicology. 30(4). 965–979. 45 indexed citations

Leung, Maxwell C. K., M. Shane Hutson, Ashley W. Seifert, Richard M. Spencer, & Thomas B. Knudsen. (2016). Computational modeling and simulation of genital tubercle development. Reproductive Toxicology. 64. 151–161. 27 indexed citations

Tang, Wei, et al.. (2013). Development of a three-dimensional model of the human respiratory system for dosimetric use. Theoretical Biology and Medical Modelling. 10(1). 28–28. 4 indexed citations

Kleinstreuer, Nicole, David J. Dix, Michael R. Rountree, et al.. (2013). A Computational Model Predicting Disruption of Blood Vessel Development. PLoS Computational Biology. 9(4). e1002996–e1002996. 90 indexed citations

Judson, Richard, Ann M. Richard, David J. Dix, et al.. (2008). ACToR — Aggregated Computational Toxicology Resource. Toxicology and Applied Pharmacology. 233(1). 7–13. 147 indexed citations

Spencer, Richard M., Jeffry D. Schroeter, & Ted B. Martonen. (2001). Computer simulations of lung airway structures using data-driven surface modeling techniques. Computers in Biology and Medicine. 31(6). 499–511. 26 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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