Ray Wü

9.9k total citations · 2 hit papers
122 papers, 7.5k citations indexed

About

Ray Wü is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Ray Wü has authored 122 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Molecular Biology, 45 papers in Plant Science and 23 papers in Biotechnology. Recurrent topics in Ray Wü's work include DNA and Nucleic Acid Chemistry (32 papers), RNA and protein synthesis mechanisms (27 papers) and Plant tissue culture and regeneration (27 papers). Ray Wü is often cited by papers focused on DNA and Nucleic Acid Chemistry (32 papers), RNA and protein synthesis mechanisms (27 papers) and Plant tissue culture and regeneration (27 papers). Ray Wü collaborates with scholars based in United States, Canada and China. Ray Wü's co-authors include Jack W. Szostak, Ju‐Kon Kim, Robert Yang, R. Padmanabhan, David McElroy, Ernest Jay, Ajay Garg, Anil P. Ranwala, Thomas G. Owens and Yang Do Choi and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ray Wü

121 papers receiving 6.8k citations

Hit Papers

Trehalose accumulation in rice plants confer... 1980 2026 1995 2010 2002 1980 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ray Wü United States 45 5.2k 3.8k 958 836 724 122 7.5k
Kin‐ichiro Miura Japan 34 4.2k 0.8× 798 0.2× 870 0.9× 691 0.8× 898 1.2× 147 5.4k
Barbara A. Moffatt Canada 39 6.8k 1.3× 3.7k 1.0× 2.4k 2.5× 589 0.7× 1.3k 1.8× 70 10.3k
Hildburg Beier Germany 25 3.4k 0.6× 1.4k 0.4× 669 0.7× 487 0.6× 394 0.5× 51 5.4k
Shigeru Iida Japan 53 6.0k 1.1× 2.8k 0.7× 1.5k 1.5× 542 0.6× 777 1.1× 171 8.0k
Daniel Gallie United States 51 5.6k 1.1× 5.7k 1.5× 499 0.5× 696 0.8× 502 0.7× 136 9.2k
Wayne M. Barnes United States 30 3.6k 0.7× 869 0.2× 1.3k 1.4× 377 0.5× 744 1.0× 44 4.8k
Shennan Lu United States 11 3.8k 0.7× 2.1k 0.6× 631 0.7× 368 0.4× 825 1.1× 13 6.2k
Noreen R. Gonzales United States 14 4.3k 0.8× 2.1k 0.6× 640 0.7× 402 0.5× 867 1.2× 18 6.8k
Olof Emanuelsson Sweden 23 8.3k 1.6× 3.5k 0.9× 540 0.6× 421 0.5× 703 1.0× 33 10.8k
Jihyun F. Kim South Korea 42 3.0k 0.6× 2.3k 0.6× 1.3k 1.3× 367 0.4× 884 1.2× 102 6.3k

Countries citing papers authored by Ray Wü

Since Specialization
Citations

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

Fields of papers citing papers by Ray Wü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ray Wü. 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 Ray Wü. The network helps show where Ray Wü may publish in the future.

Co-authorship network of co-authors of Ray Wü

This figure shows the co-authorship network connecting the top 25 collaborators of Ray Wü. A scholar is included among the top collaborators of Ray Wü 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 Ray Wü. Ray Wü 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.
Alshak, Mark N., et al.. (2018). Feasibility of a Mobile Health Application To Monitor Recovery and Patient-reported Outcomes after Robot-assisted Radical Prostatectomy. European Urology Oncology. 2(4). 425–428. 33 indexed citations
2.
He, Chengkun, Zhihong Lin, David McElroy, & Ray Wü. (2009). Identification of a rice Actin2 gene regulatory region for high‐level expression of transgenes in monocots‡. Plant Biotechnology Journal. 7(3). 227–239. 46 indexed citations
3.
Garg, Ajay, Ju‐Kon Kim, Thomas G. Owens, et al.. (2002). Trehalose accumulation in rice plants confers high tolerance levels to different abiotic stresses. Proceedings of the National Academy of Sciences. 99(25). 15898–15903. 929 indexed citations breakdown →
4.
Liu, Dan & Ray Wü. (1999). Protection of Megabase-Sized Chromosomal DNA from Breakage by DNase Activity in Plant Nuclei. BioTechniques. 26(2). 258–261. 6 indexed citations
6.
Kim, Ju‐Kon, Ray Wü, Rebecca S. Boston, et al.. (1999). Molecular and genetic analysis of transgenic rice plants expressing the maize ribosome-inactivating protein b-32 gene and the herbicide resistance bar gene. Molecular Breeding. 5(2). 85–94. 33 indexed citations
7.
Miranda, Joachim R. de, et al.. (1996). Sequence of Echinochloa hoja blanca tenuivirus RNA-3. Virus Genes. 13(1). 65–68. 10 indexed citations
8.
Jain, Renuka, Sunita Jain, & Ray Wü. (1996). Stimulatory effect of water stress on plant regeneration in aromatic Indica rice varieties. Plant Cell Reports. 15(6). 449–454. 53 indexed citations
9.
Goldman, Stanley, Yogesh Mawal, Isei Tanida, & Ray Wü. (1994). Studies of a gibberellin-dependent DNA-binding protein related to the expression of a rice α-amylase gene. Plant Science. 99(1). 75–88. 7 indexed citations
10.
Kim, Ju‐Kon, Jun Cao, & Ray Wü. (1992). Regulation and interaction of multiple protein factors with the proximal promoter regions of a rice high pl α-amylase gene. Molecular and General Genetics MGG. 232(3). 383–393. 41 indexed citations
11.
Lei, Ming & Ray Wü. (1991). A novel glycine-rich cell wall protein gene in rice. Plant Molecular Biology. 16(2). 187–198. 44 indexed citations
12.
Wang, Yichang, Theodore M. Klein, Michael Fromm, et al.. (1988). Transient expression of foreign genes in rice, wheat and soybean cells following particle bombardment. Plant Molecular Biology. 11(4). 433–439. 126 indexed citations
13.
Côté, Jean, et al.. (1986). Nucleotide sequence of the rice cytochrome ⨍ gene and the presence of sequence variation near this gene. Gene. 50(1-3). 271–278. 14 indexed citations
14.
Deng, Guoren & Ray Wü. (1981). An improved procedure for utilizing terminal transferase to add homopolymers to the 3′ termini of DNA. Nucleic Acids Research. 9(16). 4173–4188. 165 indexed citations
15.
Szostak, Jack W. & Ray Wü. (1980). Unequal crossing over in the ribosomal DNA of Saccharomyces cerevisiae. Nature. 284(5755). 426–430. 363 indexed citations breakdown →
16.
Tu, Chen‐Pei D., Ernest Jay, Chander P. Bahl, & Ray Wü. (1976). A rellable mapping method for sequence determination of oligodeoxyribonucleotides by mobility shift analysis. Analytical Biochemistry. 74(1). 73–93. 77 indexed citations
17.
Bahl, Chander P., et al.. (1976). A general method for inserting specific DNA sequences into cloning vehicles. Gene. 1(1). 81–92. 87 indexed citations
18.
Wü, Ray, Robert A. Bambara, Ernest Jay, & Winston Salser. (1975). Recent Advances in DNA Sequence Analysi. PubMed. 2(4). 455–512. 20 indexed citations
19.
Ghangas, Gurdev S. & Ray Wü. (1974). Specific Hydrolysis of the Cohesive Ends of Bacteriophage λ-Deoxyribonucleic Acid by Micrococcus luteus Ultraviolet Exonuclease. Journal of Biological Chemistry. 249(23). 7550–7554. 2 indexed citations
20.
Ghangas, Gurdev S., Ernest Jay, Robert A. Bambara, & Ray Wü. (1973). Nucleotide sequence analysis of DNA. Biochemical and Biophysical Research Communications. 54(3). 998–1007. 14 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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