Scott M. Newman

19 total papers · 1.3k total citations
14 papers, 916 citations indexed

About

Scott M. Newman is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment and Cellular and Molecular Neuroscience. According to data from OpenAlex, Scott M. Newman has authored 14 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Renewable Energy, Sustainability and the Environment and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Scott M. Newman's work include Photosynthetic Processes and Mechanisms (10 papers), Algal biology and biofuel production (5 papers) and Mitochondrial Function and Pathology (3 papers). Scott M. Newman is often cited by papers focused on Photosynthetic Processes and Mechanisms (10 papers), Algal biology and biofuel production (5 papers) and Mitochondrial Function and Pathology (3 papers). Scott M. Newman collaborates with scholars based in United States. Scott M. Newman's co-authors include Mary Briske‐Anderson, John W. Finley, John E. Boynton, Philip S. Perlman, Ronald A. Butow, N W Gillham, Barbara L. Randolph-Anderson, Margaret Johnson, Brett A. Kaufman and Clive A. Slaughter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLANT PHYSIOLOGY and Genetics.

In The Last Decade

Scott M. Newman

14 papers receiving 898 citations

Author Peers

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

Author						Papers	Cites
Scott M. Newman	689	186	72	64	63	14	916
Pamela Lane	777 1.1×	251 1.3×	33 0.5×	86 1.3×	17 0.3×	22	1.2k
Kwok Ki Ho	789 1.1×	237 1.3×	257 3.6×	40 0.6×	29 0.5×	27	1.1k
Joël Couprie	835 1.2×	60 0.3×	76 1.1×	94 1.5×	10 0.2×	26	1.2k
Lital N. Adler	490 0.7×	77 0.4×	262 3.6×	15 0.2×	20 0.3×	15	953
Sabine Molik	693 1.0×	337 1.8×	126 1.8×	62 1.0×	43 0.7×	9	1.1k
Jong-Soon Choi	450 0.7×	92 0.5×	59 0.8×	75 1.2×	12 0.2×	38	979
Jeremy L. Praissman	646 0.9×	43 0.2×	53 0.7×	81 1.3×	10 0.2×	17	1.1k
Bart Nelissen	542 0.8×	66 0.4×	158 2.2×	168 2.6×	9 0.1×	13	802
Chiung‐Wen Chang	673 1.0×	334 1.8×	161 2.2×	90 1.4×	6 0.1×	25	1.0k
Martin J. Pine	576 0.8×	32 0.2×	36 0.5×	66 1.0×	47 0.7×	32	848

Countries citing papers authored by Scott M. Newman

Since Specialization

Citations

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

Fields of papers citing papers by Scott M. Newman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott M. Newman

This figure shows the co-authorship network connecting the top 25 collaborators of Scott M. Newman. A scholar is included among the top collaborators of Scott M. Newman 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 Scott M. Newman. Scott M. Newman 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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