Stanton B. Gelvin

15.1k total citations · 4 hit papers
131 papers, 11.5k citations indexed

About

Stanton B. Gelvin is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Stanton B. Gelvin has authored 131 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Molecular Biology, 88 papers in Plant Science and 36 papers in Biotechnology. Recurrent topics in Stanton B. Gelvin's work include Plant tissue culture and regeneration (91 papers), Transgenic Plants and Applications (35 papers) and CRISPR and Genetic Engineering (31 papers). Stanton B. Gelvin is often cited by papers focused on Plant tissue culture and regeneration (91 papers), Transgenic Plants and Applications (35 papers) and CRISPR and Genetic Engineering (31 papers). Stanton B. Gelvin collaborates with scholars based in United States, Netherlands and Taiwan. Stanton B. Gelvin's co-authors include Robbert A. Schilperoort, Desh Pal S. Verma, Lan‐Ying Lee, Leo S. Melchers, Elizabeth E. Hood, André Hoekema, Jaesung Nam, Kirankumar S. Mysore, Veena and S. B. Narasimhulu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Stanton B. Gelvin

129 papers receiving 11.0k citations

Hit Papers

NewAgrobacterium helper p... 1990 2026 2002 2014 1993 1990 2003 2016 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stanton B. Gelvin United States 55 9.6k 8.3k 3.6k 529 374 131 11.5k
Tony A. Kavanagh Ireland 30 9.1k 1.0× 9.4k 1.1× 2.8k 0.8× 389 0.7× 283 0.8× 71 12.2k
Ann Depicker Belgium 49 8.9k 0.9× 8.1k 1.0× 3.2k 0.9× 697 1.3× 364 1.0× 153 12.0k
Pál Maliga United States 61 11.6k 1.2× 6.9k 0.8× 2.7k 0.7× 432 0.8× 278 0.7× 166 12.5k
Michael Bevan United Kingdom 61 15.7k 1.6× 17.3k 2.1× 4.2k 1.2× 1.2k 2.2× 424 1.1× 138 21.5k
Paul J. J. Hooykaas Netherlands 62 11.0k 1.1× 10.4k 1.3× 3.3k 0.9× 784 1.5× 853 2.3× 198 14.7k
Stephen G. Rogers United States 38 8.2k 0.9× 7.8k 0.9× 3.7k 1.0× 425 0.8× 117 0.3× 59 10.3k
Fumio Takaiwa Japan 52 4.8k 0.5× 5.0k 0.6× 3.1k 0.9× 826 1.6× 518 1.4× 231 9.0k
Vitaly Citovsky United States 64 7.7k 0.8× 10.9k 1.3× 2.5k 0.7× 476 0.9× 682 1.8× 179 13.8k
R. A. Schilperoort Netherlands 49 7.0k 0.7× 6.8k 0.8× 2.7k 0.8× 318 0.6× 210 0.6× 131 9.0k
Imre E. Somssich Germany 56 12.3k 1.3× 15.7k 1.9× 1.1k 0.3× 343 0.6× 777 2.1× 90 18.7k

Countries citing papers authored by Stanton B. Gelvin

Since Specialization
Citations

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

Fields of papers citing papers by Stanton B. Gelvin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stanton B. Gelvin. 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 Stanton B. Gelvin. The network helps show where Stanton B. Gelvin may publish in the future.

Co-authorship network of co-authors of Stanton B. Gelvin

This figure shows the co-authorship network connecting the top 25 collaborators of Stanton B. Gelvin. A scholar is included among the top collaborators of Stanton B. Gelvin 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 Stanton B. Gelvin. Stanton B. Gelvin 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.
2.
Dokládal, Ladislav, Eva Benková, David Honys, et al.. (2018). An armadillo-domain protein participates in a telomerase interaction network. Plant Molecular Biology. 97(4-5). 407–420. 9 indexed citations
3.
Lin, Choun‐Sea, Chen‐Tran Hsu, Lan‐Ying Lee, et al.. (2017). Application of protoplast technology to CRISPR/Cas9 mutagenesis: from single‐cell mutation detection to mutant plant regeneration. Plant Biotechnology Journal. 16(7). 1295–1310. 221 indexed citations
4.
Altpeter, Fredy, Nathan M. Springer, Laura Bartley, et al.. (2016). Advancing Crop Transformation in the Era of Genome Editing. The Plant Cell. 28(7). tpc.00196.2016–tpc.00196.2016. 480 indexed citations breakdown →
5.
Gelvin, Stanton B.. (2012). Traversing the Cell: Agrobacterium T-DNA’s Journey to the Host Genome. Frontiers in Plant Science. 3. 52–52. 110 indexed citations
6.
Gelvin, Stanton B.. (2009). Finding a way to the nucleus. Current Opinion in Microbiology. 13(1). 53–58. 47 indexed citations
7.
Bhattacharjee, Saikat, Lan‐Ying Lee, Hongbin Cao, et al.. (2008). IMPa-4, an Arabidopsis Importin α Isoform, Is Preferentially Involved in Agrobacterium -Mediated Plant Transformation. The Plant Cell. 20(10). 2661–2680. 99 indexed citations
8.
Hwang, Hau‐Hsuan & Stanton B. Gelvin. (2004). Plant Proteins That Interact with VirB2, the Agrobacterium tumefaciens Pilin Protein, Mediate Plant Transformationw. The Plant Cell. 16(11). 3148–3167. 100 indexed citations
9.
10.
Gelvin, Stanton B. & Robbert A. Schilperoort. (2000). Plant Molecular Biology Manual. 7 indexed citations
11.
Keen, Noel T., Stanton B. Gelvin, & Sharon R. Long. (1999). Summary of IS-MPMI Meeting, July 1999, Amsterdam. Molecular Plant-Microbe Interactions. 12(10). 835–838. 10 indexed citations
12.
Nam, Jaesung, Ann G. Matthysse, & Stanton B. Gelvin. (1997). Differences in susceptibility of Arabidopsis ecotypes to crown gall disease may result from a deficiency in T-DNA integration.. The Plant Cell. 9(3). 317–333. 120 indexed citations
13.
Ream, Walt & Stanton B. Gelvin. (1996). Crown gall : advances in understanding interkingdom gene transfer. 7 indexed citations
14.
Yusibov, Vidadi, Todd R. Steck, Vikas Gupta, & Stanton B. Gelvin. (1994). Association of single-stranded transferred DNA from Agrobacterium tumefaciens with tobacco cells.. Proceedings of the National Academy of Sciences. 91(8). 2994–2998. 114 indexed citations
15.
Kononowicz, Halina, et al.. (1992). Subdomains of the octopine synthase upstream activating element direct cell-specific expression in transgenic tobacco plants.. The Plant Cell. 4(1). 17–27. 20 indexed citations
16.
Li, Xiu‐Qing, et al.. (1992). Factors influencing Agrobacterium-mediated transient expression of gusA in rice. Plant Molecular Biology. 20(6). 1037–1048. 81 indexed citations
17.
Gelvin, Stanton B.. (1990). Crown Gall Disease and Hairy Root Disease. PLANT PHYSIOLOGY. 92(2). 281–285. 85 indexed citations
18.
Veluthambi, K., Radheshyam K. Jayaswal, & Stanton B. Gelvin. (1987). Virulence genes A, G , and D mediate the double-stranded border cleavage of T-DNA from the Agrobacterium Ti plasmid. Proceedings of the National Academy of Sciences. 84(7). 1881–1885. 69 indexed citations
19.
Taliercio, Earl, David Coates, & Stanton B. Gelvin. (1985). The nucleosome structure of the rRNA genes of some tumorous and nontumorous Nicotiana cell lines. Plant Molecular Biology. 5(4). 247–255. 5 indexed citations
20.
Gelvin, Stanton B., Michael F. Thomashow, James C. McPherson, M P Gordon, & Eugene W. Nester. (1982). Sizes and map positions of several plasmid-DNA-encoded transcripts in octopine-type crown gall tumors.. Proceedings of the National Academy of Sciences. 79(1). 76–80. 72 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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