Dina A. St. Clair

3.3k total citations
54 papers, 2.4k citations indexed

About

Dina A. St. Clair is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Dina A. St. Clair has authored 54 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Plant Science, 18 papers in Genetics and 16 papers in Molecular Biology. Recurrent topics in Dina A. St. Clair's work include Genetic Mapping and Diversity in Plants and Animals (16 papers), Plant Pathogens and Resistance (12 papers) and Plant Molecular Biology Research (10 papers). Dina A. St. Clair is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (16 papers), Plant Pathogens and Resistance (12 papers) and Plant Molecular Biology Research (10 papers). Dina A. St. Clair collaborates with scholars based in United States, Uganda and France. Dina A. St. Clair's co-authors include Marilyn A. L. West, Richard W. Michelmore, Daniel J. Kliebenstein, Johannes P.T.M. van Leeuwen, R. W. Doerge, Christie E. Williams, D. J. Brouwer, Kyunga Kim, Arnold J. Bloom and David M. Francis and has published in prestigious journals such as The Plant Cell, Genetics and Genome Research.

In The Last Decade

Dina A. St. Clair

53 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dina A. St. Clair United States 22 2.1k 785 716 266 170 54 2.4k
M. J. Asíns Spain 32 2.9k 1.4× 818 1.0× 550 0.8× 309 1.2× 213 1.3× 81 3.1k
J. W. Van Ooijen Netherlands 6 1.7k 0.8× 490 0.6× 787 1.1× 181 0.7× 108 0.6× 6 2.1k
Rafael Perl‐Treves Israel 30 2.0k 1.0× 984 1.3× 708 1.0× 281 1.1× 213 1.3× 72 2.5k
T. M. Fulton United States 15 3.6k 1.7× 1.3k 1.6× 1.5k 2.1× 203 0.8× 223 1.3× 15 3.9k
María José Aranzana Spain 25 2.8k 1.4× 1.4k 1.7× 1.1k 1.6× 473 1.8× 405 2.4× 61 3.4k
Jan De Riek Belgium 25 1.3k 0.6× 692 0.9× 406 0.6× 183 0.7× 371 2.2× 105 1.9k
Aurélie Berard France 28 2.4k 1.1× 1.2k 1.5× 968 1.4× 129 0.5× 181 1.1× 44 2.9k
Daniel Zamir Israel 23 2.8k 1.3× 1.5k 1.9× 1.0k 1.5× 162 0.6× 441 2.6× 34 3.3k
Albert G. Abbott United States 34 3.2k 1.6× 2.1k 2.6× 434 0.6× 584 2.2× 374 2.2× 91 3.8k
Sung‐Chur Sim South Korea 24 1.6k 0.8× 541 0.7× 595 0.8× 118 0.4× 121 0.7× 63 1.8k

Countries citing papers authored by Dina A. St. Clair

Since Specialization
Citations

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

Fields of papers citing papers by Dina A. St. Clair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dina A. St. Clair. 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 Dina A. St. Clair. The network helps show where Dina A. St. Clair may publish in the future.

Co-authorship network of co-authors of Dina A. St. Clair

This figure shows the co-authorship network connecting the top 25 collaborators of Dina A. St. Clair. A scholar is included among the top collaborators of Dina A. St. Clair 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 Dina A. St. Clair. Dina A. St. Clair 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.
Clair, Dina A. St., et al.. (2017). Differential Transcriptional Regulation in Roots of Tomato Near-Isogenic Lines in Response to Rapid-Onset Water Stress. Frontiers in Plant Science. 8. 166–166. 3 indexed citations
2.
Easlon, Hsien Ming, J.S. Rubio-Asensio, Dina A. St. Clair, & Arnold J. Bloom. (2013). Chilling‐induced water stress: Variation in shoot turgor maintenance among wild tomato species from diverse habitats. American Journal of Botany. 100(10). 1991–1999. 13 indexed citations
3.
Tan, Xiaoping, Blake C. Meyers, Alexander Kozik, et al.. (2007). Global expression analysis of nucleotide binding site-leucine rich repeat-encoding and related genes in Arabidopsis. BMC Plant Biology. 7(1). 56–56. 146 indexed citations
4.
Chen, Junfeng, Vikas Agrawal, Magnus Rattray, et al.. (2007). A comparison of microarray and MPSS technology platforms for expression analysis of Arabidopsis. BMC Genomics. 8(1). 414–414. 20 indexed citations
5.
West, Marilyn A. L., Johannes P.T.M. van Leeuwen, Alexander Kozik, et al.. (2006). High-density haplotyping with microarray-based expression and single feature polymorphism markers in Arabidopsis. Genome Research. 16(6). 787–795. 137 indexed citations
6.
Kliebenstein, Daniel J., Michael A. West, Johannes P.T.M. van Leeuwen, et al.. (2005). Genomic Survey of Gene Expression Diversity in Arabidopsis thaliana. Genetics. 172(2). 1179–1189. 89 indexed citations
7.
Clair, Dina A. St., et al.. (2005). Variation for Resistance to Aphids (Homoptera: Aphididae) Among Tomato Inbred Backcross Lines Derived from Wild <I>Lycopersicon</I> Species. Journal of Economic Entomology. 98(3). 988–995. 12 indexed citations
8.
Bloom, Arnold J., et al.. (2005). A major QTL introgressed from wild Lycopersicon hirsutum confers chilling tolerance to cultivated tomato (Lycopersicon esculentum). Theoretical and Applied Genetics. 111(5). 898–905. 37 indexed citations
9.
Brouwer, D. J., Elizabeth Jones, & Dina A. St. Clair. (2004). QTL analysis of quantitative resistance toPhytophthora infestans(late blight) in tomato and comparisons with potato. Genome. 47(3). 475–492. 64 indexed citations
10.
Park, Young Hoon, Marilyn A. L. West, & Dina A. St. Clair. (2004). Evaluation of AFLPs for germplasm fingerprinting and assessment of genetic diversity in cultivars of tomato (Lycopersicon esculentum L.). Genome. 47(3). 510–518. 74 indexed citations
11.
Morris, Paul F., et al.. (2000). Genetic diversity of Alternaria alternata isolated from tomato in California assessed using RAPDs. Mycological Research. 104(3). 286–292. 78 indexed citations
12.
Francis, David M. & Dina A. St. Clair. (1997). Population Genetics of Pythium ultimum. Phytopathology. 87(4). 454–461. 21 indexed citations
13.
Sacks, Erik J. & Dina A. St. Clair. (1996). Cryogenic Storage of Tomato Pollen: Effect on Fecundity. HortScience. 31(3). 447–448. 15 indexed citations
14.
15.
Francis, David M., et al.. (1994). A dispersed family of repetitive DNA sequences exhibits characteristics of a transposable element in the genus Lycopersicon.. Genetics. 137(2). 581–588. 10 indexed citations
16.
Hewitt, John D., et al.. (1993). Resistance of Tomato Genotypes to Four Isolates of Verticillium dahliae Race 2. HortScience. 28(8). 833–836. 19 indexed citations
17.
Francis, David M. & Dina A. St. Clair. (1993). Outcrossing in the homothallic oomycete, Pythium ultimum, detected with molecular markers. Current Genetics. 24(1-2). 100–106. 49 indexed citations
18.
Clair, Dina A. St., et al.. (1992). POLLEN VIABILITY AND VIGOR IN TOMATO PLANTS UNDER HIGH TEMPERATURES. HortScience. 27(6). 683e–683.
19.
Bliss, F. A., Juan Carlos Rosas, Dina A. St. Clair, & K. Kmiecik. (1986). Breeding beans for increased nitrogen fixation.. Annual Report of the Bean Improvement Cooperative. Bean Improvement Cooperative. 29. 15–17. 4 indexed citations
20.
Dahlsten, Donald L., et al.. (1985). Pest management in the urban forest. California Agriculture. 39(1). 21–22. 2 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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