Thomas C. Newman

2.2k total citations
25 papers, 1.8k citations indexed

About

Thomas C. Newman is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Thomas C. Newman has authored 25 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Plant Science. Recurrent topics in Thomas C. Newman's work include Insect and Arachnid Ecology and Behavior (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Lipid metabolism and disorders (4 papers). Thomas C. Newman is often cited by papers focused on Insect and Arachnid Ecology and Behavior (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Lipid metabolism and disorders (4 papers). Thomas C. Newman collaborates with scholars based in United States, Austria and France. Thomas C. Newman's co-authors include Masaru Ohme‐Takagi, C. Barr Taylor, David L. Williams, L L Rudel, Rudolf Zechner, Gene E. Robinson, Paul A. Dawson, Paul A. Dawson, Jan L. Breslow and Amy L. Toth and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Thomas C. Newman

24 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas C. Newman United States 21 933 477 355 281 257 25 1.8k
N. Ferry France 28 1.4k 1.5× 387 0.8× 599 1.7× 74 0.3× 578 2.2× 69 2.2k
Norbert H. Haunerland Canada 23 1.0k 1.1× 286 0.6× 159 0.4× 206 0.7× 529 2.1× 54 1.9k
Alice Schroeder United States 23 971 1.0× 250 0.5× 206 0.6× 72 0.3× 102 0.4× 60 2.4k
C. D. K. Bottema Australia 36 1.9k 2.0× 1.1k 2.2× 251 0.7× 82 0.3× 56 0.2× 118 3.7k
Masahira Hattori Japan 10 1.7k 1.8× 358 0.8× 460 1.3× 129 0.5× 732 2.8× 16 3.3k
Daulat R.P. Tulsiani United States 35 2.0k 2.1× 358 0.8× 160 0.5× 66 0.2× 53 0.2× 73 3.5k
Harry Griffin United Kingdom 24 470 0.5× 286 0.6× 166 0.5× 38 0.1× 88 0.3× 57 1.7k
José A. Tapia Spain 37 739 0.8× 325 0.7× 251 0.7× 31 0.1× 125 0.5× 102 3.6k
Thomas J. Caperna United States 25 741 0.8× 342 0.7× 312 0.9× 93 0.3× 72 0.3× 98 2.3k
Shaohua Gu China 33 1.6k 1.7× 1.1k 2.4× 274 0.8× 306 1.1× 1.4k 5.5× 181 3.5k

Countries citing papers authored by Thomas C. Newman

Since Specialization
Citations

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

Fields of papers citing papers by Thomas C. Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas C. Newman

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

All Works

20 of 20 papers shown
1.
Li‐Byarlay, Hongmei, Yang Li, Hume Stroud, et al.. (2013). RNA interference knockdown of DNA methyl-transferase 3 affects gene alternative splicing in the honey bee. Proceedings of the National Academy of Sciences. 110(31). 12750–12755. 182 indexed citations
2.
Greenberg, Jeffrey K., Jing Xia, Xiang Zhou, et al.. (2012). Behavioral plasticity in honey bees is associated with differences in brain microRNA transcriptome. Genes Brain & Behavior. 11(6). 660–670. 81 indexed citations
3.
Hunt, James H., Florian Wolschin, Michael T. Henshaw, et al.. (2010). Differential Gene Expression and Protein Abundance Evince Ontogenetic Bias toward Castes in a Primitively Eusocial Wasp. PLoS ONE. 5(5). e10674–e10674. 69 indexed citations
4.
Toth, Amy L., Kranthi Varala, Thomas C. Newman, et al.. (2007). Wasp Gene Expression Supports an Evolutionary Link Between Maternal Behavior and Eusociality. Science. 318(5849). 441–444. 208 indexed citations
5.
Xu, Xudong, Renqiu Kong, Frans J. de Bruijn, et al.. (2002). DNA sequence and genetic characterization of plasmid pFQ11 fromFrankia alnistrain CpI1. FEMS Microbiology Letters. 207(1). 103–107. 8 indexed citations
6.
Wilson, David L., Sheila Abner, Thomas C. Newman, Linda S. Mansfield, & John E. Linz. (2000). Identification of Ciprofloxacin-Resistant Campylobacter jejuni by Use of a Fluorogenic PCR Assay. Journal of Clinical Microbiology. 38(11). 3971–3978. 64 indexed citations
7.
8.
Engeseth, Nicki J., R. S. Pacovsky, Thomas C. Newman, & John B. Ohlrogge. (1996). Characterization of an Acyl-CoA-Binding Protein fromArabidopsis thaliana. Archives of Biochemistry and Biophysics. 331(1). 55–62. 80 indexed citations
9.
Ohme‐Takagi, Masaru, et al.. (1994). The effect of sequences with high AU content on mRNA stability in tobacco. Proc Natl Acad Sci USA.
10.
Newman, Thomas C., et al.. (1993). DST sequences, highly conserved among plant SAUR genes, target reporter transcripts for rapid decay in tobacco.. The Plant Cell. 5(6). 701–714. 173 indexed citations
11.
Newman, Thomas C., Masaru Ohme‐Takagi, Crispin B. Taylor, & Pamela J. Green. (1993). DST Sequences, Highly Conserved among Plant SAUR Genes, Target Reporter Transcripts for Rapid Decay in Tobacco. The Plant Cell. 5(6). 701–701. 29 indexed citations
12.
13.
Zechner, Rudolf, Rosita Moser, Thomas C. Newman, Susan K. Fried, & J L Breslow. (1991). Apolipoprotein E gene expression in mouse 3T3-L1 adipocytes and human adipose tissue and its regulation by differentiation and lipid content. Journal of Biological Chemistry. 266(16). 10583–10588. 118 indexed citations
14.
Zechner, Rudolf, Thomas C. Newman, Barbara Sherry, Anthony Cerami, & Jan L. Breslow. (1988). Recombinant Human Cachectin/Tumor Necrosis Factor but Not Interleukin-1α Downregulates Lipoprotein Lipase Gene Expression at the Transcriptional Level in Mouse 3T3-L1 Adipocytes. Molecular and Cellular Biology. 8(6). 2394–2401. 17 indexed citations
15.
Williams, David L., Thomas C. Newman, Gregory S. Shelness, & David A. Gordon. (1986). [39] Measurement of apolipoprotein mRNA by DNA-excess solution hybridization with single-stranded probes. Methods in enzymology on CD-ROM/Methods in enzymology. 128. 671–689. 85 indexed citations
16.
Williams, David L., Paul A. Dawson, Thomas C. Newman, & Lawrence L. Rudel. (1985). Synthesis of Apolipoprotein E by Peripheral Tissues. Annals of the New York Academy of Sciences. 454(1). 222–229. 31 indexed citations
17.
Newman, Thomas C., Paul A. Dawson, L L Rudel, & David L. Williams. (1985). Quantitation of apolipoprotein E mRNA in the liver and peripheral tissues of nonhuman primates.. Journal of Biological Chemistry. 260(4). 2452–2457. 134 indexed citations
18.
Newman, Thomas C., et al.. (1982). Cloning and expression of theilvB gene ofEscherichia coli K-12. Molecular and General Genetics MGG. 186(3). 378–384. 32 indexed citations
19.
Sutton, Ann, et al.. (1981). Valine-Resistant Escherichia coli K-12 Strains with Mutations in the ilvB Operon. Journal of Bacteriology. 148(3). 998–1001. 5 indexed citations
20.
Newman, Thomas C. & Mark Levinthal. (1980). A NEW MAP LOCATION FOR THE ilvB LOCUS OF ESCHERICHIA COLI. Genetics. 96(1). 59–77. 27 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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