Thomas W. Greene

2.5k total citations
30 papers, 1.4k citations indexed

About

Thomas W. Greene is a scholar working on Plant Science, Biotechnology and Nutrition and Dietetics. According to data from OpenAlex, Thomas W. Greene has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 18 papers in Biotechnology and 14 papers in Nutrition and Dietetics. Recurrent topics in Thomas W. Greene's work include Enzyme Production and Characterization (17 papers), Microbial Metabolites in Food Biotechnology (12 papers) and Plant nutrient uptake and metabolism (8 papers). Thomas W. Greene is often cited by papers focused on Enzyme Production and Characterization (17 papers), Microbial Metabolites in Food Biotechnology (12 papers) and Plant nutrient uptake and metabolism (8 papers). Thomas W. Greene collaborates with scholars based in United States, China and Japan. Thomas W. Greene's co-authors include Thomas W. Okita, L. Curtis Hannah, Janine R. Shaw, Michael J. Giroux, Gerard F. Barry, J. Preiss, İbrahim Halil Kavaklı, F. D. Meyer, Paul A. Nakata and B. G. Cobb and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Plant Cell.

In The Last Decade

Thomas W. Greene

30 papers receiving 1.4k 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 W. Greene United States 24 1.0k 565 480 423 199 30 1.4k
Janine R. Shaw United States 20 756 0.7× 337 0.6× 401 0.8× 303 0.7× 176 0.9× 29 1.0k
Seon‐Kap Hwang United States 19 1.1k 1.1× 380 0.7× 635 1.3× 302 0.7× 223 1.1× 34 1.5k
Per Villand Norway 15 627 0.6× 429 0.8× 323 0.7× 289 0.7× 73 0.4× 21 1.0k
Yoshinori Utsumi Japan 19 1.2k 1.2× 249 0.4× 904 1.9× 320 0.8× 346 1.7× 36 1.6k
Barbara Pfister Switzerland 14 836 0.8× 443 0.8× 328 0.7× 100 0.2× 125 0.6× 24 1.2k
Lynette Rampling Australia 13 758 0.7× 189 0.3× 189 0.4× 62 0.1× 58 0.3× 17 954
Brigitte Delrue France 14 457 0.4× 375 0.7× 572 1.2× 293 0.7× 159 0.8× 16 1.1k
Tien‐Shin Yu Taiwan 15 1.2k 1.2× 738 1.3× 221 0.5× 126 0.3× 54 0.3× 21 1.4k
Mark A. Smedley United Kingdom 15 710 0.7× 529 0.9× 65 0.1× 161 0.4× 35 0.2× 30 930
Nicolas Szydlowski France 13 516 0.5× 248 0.4× 357 0.7× 116 0.3× 96 0.5× 17 780

Countries citing papers authored by Thomas W. Greene

Since Specialization
Citations

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

Fields of papers citing papers by Thomas W. Greene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas W. Greene

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas W. Greene. A scholar is included among the top collaborators of Thomas W. Greene 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 W. Greene. Thomas W. Greene 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.
Simmons, Carl R., H.R. Lafïtte, Norbert Brugière, et al.. (2021). Successes and insights of an industry biotech program to enhance maize agronomic traits. Plant Science. 307. 110899–110899. 57 indexed citations
2.
Habben, Jeffrey E., Guangwu Chen, Min Liu, et al.. (2020). Knockouts of Drought Sensitive Genes Improve Rice Grain Yield under both Drought and Well-Watered Field Conditions. Advances in Crop Science and Technology. 4 indexed citations
3.
Wang, Changgui, Wei Wang, Jeffrey E. Habben, et al.. (2020). Knockouts of a late flowering gene via CRISPR–Cas9 confer early maturity in rice at multiple field locations. Plant Molecular Biology. 104(1-2). 137–150. 20 indexed citations
4.
Jaqueth, Jennifer, Zhenglin Hou, Peizhong Zheng, et al.. (2019). Fertility restoration of maize CMS‐C altered by a single amino acid substitution within the Rf4 bHLH transcription factor. The Plant Journal. 101(1). 101–111. 44 indexed citations
5.
Wang, Changgui, Yang Gao, Jeffrey E. Habben, et al.. (2019). A cytokinin-activation enzyme-like gene improves grain yield under various field conditions in rice. Plant Molecular Biology. 102(4-5). 373–388. 54 indexed citations
6.
Hannah, L. Curtis, James Bing, Janine R. Shaw, et al.. (2012). A shrunken-2 Transgene Increases Maize Yield by Acting in Maternal Tissues to Increase the Frequency of Seed Development. The Plant Cell. 24(6). 2352–2363. 71 indexed citations
7.
Mammadov, Jafar, Wei Chen, Feyruz Yalçin, et al.. (2010). Development of highly polymorphic SNP markers from the complexity reduced portion of maize [Zea mays L.] genome for use in marker-assisted breeding. Theoretical and Applied Genetics. 121(3). 577–588. 40 indexed citations
8.
9.
Greene, Thomas W., et al.. (2008). Mapping of the Ogura fertility restorer gene Rfo and development of Rfo allele-specific markers in canola (Brassica napus L.). Molecular Breeding. 22(4). 663–674. 25 indexed citations
10.
11.
Cross, Joanna, Maureen Clancy, Janine R. Shaw, et al.. (2004). A polymorphic motif in the small subunit of ADP‐glucose pyrophosphorylase modulates interactions between the small and large subunits. The Plant Journal. 41(4). 501–511. 32 indexed citations
12.
Meyer, F. D., Eric D. Smidansky, Brian Beecher, Thomas W. Greene, & Michael J. Giroux. (2004). The maize Sh2r6hs ADP-glucose pyrophosphorylase (AGP) large subunit confers enhanced AGP properties in transgenic wheat (Triticum aestivum). Plant Science. 167(4). 899–911. 35 indexed citations
13.
Cross, Joanna, Maureen Clancy, Janine R. Shaw, et al.. (2004). Both Subunits of ADP-Glucose Pyrophosphorylase Are Regulatory. PLANT PHYSIOLOGY. 135(1). 137–144. 86 indexed citations
14.
Burger, Brian T., Joanna Cross, Janine R. Shaw, et al.. (2003). Relative turnover numbers of maize endosperm and potato tuber ADP-glucose pyrophosphorylases in the absence and presence of 3-phosphoglyceric acid. Planta. 217(3). 449–456. 25 indexed citations
15.
Kavaklı, İbrahim Halil, et al.. (2001). Investigation of Subunit Function in ADP-Glucose Pyrophosphorylase. Biochemical and Biophysical Research Communications. 281(3). 783–787. 25 indexed citations
16.
Greene, Thomas W., et al.. (2000). Isolation and characterization of a higher plant ADP‐glucose pyrophosphorylase small subunit homotetramer. FEBS Letters. 482(1-2). 113–118. 34 indexed citations
17.
Hannah, L. Curtis & Thomas W. Greene. (1998). Maize seed weight is dependent on the amount of endosperm ADP-glucose pyrophosphorylase. Journal of Plant Physiology. 152(6). 649–652. 9 indexed citations
18.
Greene, Thomas W., Ronald L. Woodbury, & Thomas W. Okita. (1996). Aspartic Acid 413 Is Important for the Normal Allosteric Functioning of ADP-Glucose Pyrophosphorylase. PLANT PHYSIOLOGY. 112(3). 1315–1320. 25 indexed citations
19.
Bass, Hank W., et al.. (1994). Control of ribosome-inactivating protein (RIP) RNA levels during maize seed development. Plant Science. 101(1). 17–30. 10 indexed citations
20.
Nakata, Paul A., Thomas W. Greene, Joseph M. Anderson, et al.. (1991). Comparison of the primary sequences of two potato tuber ADP-glucose pyrophosphorylase subunits. Plant Molecular Biology. 17(5). 1089–1093. 73 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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