Allan Caplan

8.8k total citations
51 papers, 2.1k citations indexed

About

Allan Caplan is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Allan Caplan has authored 51 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 32 papers in Plant Science and 7 papers in Biotechnology. Recurrent topics in Allan Caplan's work include Nematode management and characterization studies (12 papers), Plant tissue culture and regeneration (12 papers) and Legume Nitrogen Fixing Symbiosis (10 papers). Allan Caplan is often cited by papers focused on Nematode management and characterization studies (12 papers), Plant tissue culture and regeneration (12 papers) and Legume Nitrogen Fixing Symbiosis (10 papers). Allan Caplan collaborates with scholars based in United States, Belgium and China. Allan Caplan's co-authors include Marc Van Montagu, Rudy Dekeyser, Bart Claes, Raimundo Villarroel, Dirk Inzé, Guy Bauw, Marc Van den Bulcke, Tom Gerats, Jeff Schell and Anice Garcia and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Allan Caplan

51 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allan Caplan United States 23 1.5k 1.3k 363 153 71 51 2.1k
Samir V. Sawant India 26 1.2k 0.8× 1.0k 0.8× 272 0.7× 151 1.0× 46 0.6× 76 1.7k
Vanga Siva Reddy India 25 980 0.7× 1.3k 1.0× 479 1.3× 83 0.5× 59 0.8× 57 2.1k
Christine K. Shewmaker United States 26 1.2k 0.8× 2.0k 1.5× 349 1.0× 254 1.7× 57 0.8× 38 2.7k
Peter R. Shewry United Kingdom 24 1.1k 0.7× 876 0.7× 275 0.8× 122 0.8× 38 0.5× 48 1.7k
Romit Chakrabarty United States 12 1.0k 0.7× 717 0.5× 187 0.5× 207 1.4× 49 0.7× 19 1.5k
Susanne E. Kohalmi Canada 26 1.8k 1.2× 2.1k 1.6× 148 0.4× 143 0.9× 56 0.8× 63 2.7k
Guang‐Ning Ye United States 9 1.1k 0.7× 1.2k 0.9× 490 1.3× 160 1.0× 52 0.7× 11 1.8k
B.M.M. Dekker Netherlands 15 1.3k 0.9× 1.6k 1.2× 439 1.2× 362 2.4× 103 1.5× 23 2.3k
J. Gielen Belgium 22 1.3k 0.9× 1.1k 0.8× 333 0.9× 76 0.5× 38 0.5× 32 1.6k
Pilar Carbonero Spain 36 2.9k 1.9× 2.3k 1.7× 504 1.4× 126 0.8× 86 1.2× 64 3.6k

Countries citing papers authored by Allan Caplan

Since Specialization
Citations

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

Fields of papers citing papers by Allan Caplan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Allan Caplan

This figure shows the co-authorship network connecting the top 25 collaborators of Allan Caplan. A scholar is included among the top collaborators of Allan Caplan 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 Allan Caplan. Allan Caplan 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.
Xia, Chao, Cankui Zhang, Joanna Kud, et al.. (2024). The potato RNA metabolism machinery is targeted by the cyst nematode effector RHA1B for successful parasitism. The Plant Cell. 36(12). 4914–4931. 3 indexed citations
2.
Huang, Li, Zhe Zhao, Letian Chen, et al.. (2024). A receptor for dual ligands governs plant immunity and hormone response and is targeted by a nematode effector. Proceedings of the National Academy of Sciences. 121(42). e2412016121–e2412016121. 4 indexed citations
3.
Huang, Li, Joanna Kud, Joseph C. Kuhl, et al.. (2023). NILR1 perceives a nematode ascaroside triggering immune signaling and resistance. Current Biology. 33(18). 3992–3997.e3. 19 indexed citations
4.
Sheng, Haiqing, Sarah Wu, Yansong Xue, et al.. (2023). Engineering conjugative CRISPR-Cas9 systems for the targeted control of enteric pathogens and antibiotic resistance. PLoS ONE. 18(9). e0291520–e0291520. 9 indexed citations
5.
Kud, Joanna, Wenjie Wang, Allan Caplan, et al.. (2019). Functional Characterization of RING-Type E3 Ubiquitin Ligases In Vitro and In Planta. Journal of Visualized Experiments. 2 indexed citations
6.
Kud, Joanna, et al.. (2019). In situ Hybridization of Plant-parasitic Nematode Globodera pallida Juveniles to Detect Gene Expression. BIO-PROTOCOL. 9(18). e3372–e3372. 2 indexed citations
7.
Dandurand, Louise‐Marie, Joseph C. Kuhl, Allan Caplan, et al.. (2019). Transcriptome analysis of Globodera pallida from the susceptible host Solanum tuberosum or the resistant plant Solanum sisymbriifolium. Scientific Reports. 9(1). 13256–13256. 14 indexed citations
8.
Casavant, N. Carol, et al.. (2018). Assessment of an Organ-Specific de Novo Transcriptome of the Nematode Trap-Crop, Solanum sisymbriifolium. G3 Genes Genomes Genetics. 8(7). 2135–2143. 3 indexed citations
9.
Dandurand, Louise‐Marie, et al.. (2017). Microaspiration of Solanum tuberosum root cells at early stages of infection by Globodera pallida. Plant Methods. 13(1). 68–68. 4 indexed citations
10.
11.
Caplan, Allan, et al.. (2011). Identification of autophagy genes participating in zinc-induced necrotic cell death inSaccharomyces cerevisiae. Autophagy. 7(5). 490–500. 15 indexed citations
12.
Phongdara, Amornrat, et al.. (2002). Screening and characterization of aldehyde dehydrogenase gene from Halomonas salina strain AS11. Journal of Biotechnology. 95(2). 171–179. 13 indexed citations
13.
Tripepi, Robert R., et al.. (1999). 082 Infection and Transformation of Rhododendron by Agrobacterium tumefaciens Strain B6. HortScience. 34(3). 455C–455. 2 indexed citations
14.
Claes, Bart, et al.. (1998). The expression of the salt-responsive gene sal T from rice is regulated by hormonal and developmental cues. Planta. 207(2). 172–180. 61 indexed citations
15.
Claes, Bart, et al.. (1995). Genomic sequence corresponding to the salT (GenBank Z25811) gene from rice. PLANT PHYSIOLOGY. 108. 1342–1342. 39 indexed citations
16.
Breusegem, Frank Van, Rudy Dekeyser, Bart Claes, et al.. (1994). Heat-inducible rice hsp82 and hsp70 are not always co-regulated. Planta. 193(1). 57–66. 21 indexed citations
17.
Caplan, Allan, Rudy Dekeyser, & Marc Van Montagu. (1992). [37] Selectable markers for rice transformation. Methods in enzymology on CD-ROM/Methods in enzymology. 216. 426–441. 11 indexed citations
18.
Goldman, Gustavo H., et al.. (1992). Molecular characterization and regulation of the phosphoglycerate kinase gene from Trichoderma viride. Molecular Microbiology. 6(9). 1231–1242. 28 indexed citations
19.
Montagu, Marc Van, et al.. (1991). Polyamine-induced phosphorylation in rice nuclei. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
20.
Claes, Bart, Jan Smalle, Rudy Dekeyser, Marc Van Montagu, & Allan Caplan. (1991). Organ‐dependent regulation of a plant promoter isolated from rice by ‘promoter‐trapping’ in tobacco. The Plant Journal. 1(1). 15–26. 17 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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