John Jacobs

6.3k total citations
24 papers, 544 citations indexed

About

John Jacobs is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, John Jacobs has authored 24 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 11 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in John Jacobs's work include Research in Cotton Cultivation (7 papers), Plant tissue culture and regeneration (5 papers) and Photosynthetic Processes and Mechanisms (4 papers). John Jacobs is often cited by papers focused on Research in Cotton Cultivation (7 papers), Plant tissue culture and regeneration (5 papers) and Photosynthetic Processes and Mechanisms (4 papers). John Jacobs collaborates with scholars based in Netherlands, Australia and France. John Jacobs's co-authors include Jean-Marc Lacape, Danny Llewellyn, Janine Jean, Christopher Viot, Gerben J. van Eldik, Marc Cornelissen, Marc Van Montagu, Tony Arioli, A. F. Croes and G. J. Wullems and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

John Jacobs

24 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Jacobs Netherlands 13 488 181 96 32 31 24 544
Libei Li China 15 625 1.3× 258 1.4× 113 1.2× 12 0.4× 54 1.7× 34 708
Ayushi Kamthan India 8 273 0.6× 228 1.3× 26 0.3× 42 1.3× 28 0.9× 10 397
Ruiqin Ji China 11 404 0.8× 232 1.3× 32 0.3× 19 0.6× 14 0.5× 25 472
Shumei Zhou China 15 610 1.3× 350 1.9× 20 0.2× 20 0.6× 25 0.8× 22 698
Yuanjie Zhou China 10 212 0.4× 182 1.0× 38 0.4× 20 0.6× 14 0.5× 13 422
Elisa Asquini Italy 10 215 0.4× 196 1.1× 45 0.5× 13 0.4× 13 0.4× 16 365
Kil Hyun Kim South Korea 10 427 0.9× 74 0.4× 38 0.4× 11 0.3× 37 1.2× 15 463
Eliezer Rodrigues de Souto Brazil 11 306 0.6× 116 0.6× 54 0.6× 22 0.7× 10 0.3× 43 332
Seong‐Han Sohn South Korea 13 381 0.8× 227 1.3× 74 0.8× 30 0.9× 22 0.7× 37 458
Alain Poupet France 10 375 0.8× 178 1.0× 41 0.4× 39 1.2× 8 0.3× 19 429

Countries citing papers authored by John Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by John Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Jacobs

This figure shows the co-authorship network connecting the top 25 collaborators of John Jacobs. A scholar is included among the top collaborators of John Jacobs 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 John Jacobs. John Jacobs 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.
Zanella, Camila Martini, Greg Mellers, Beatrice Corsi, et al.. (2022). Longer epidermal cells underlie a quantitative source of variation in wheat flag leaf size. New Phytologist. 237(5). 1558–1573. 12 indexed citations
3.
Barrero, José M., William D. Bovill, Klara Verbyla, et al.. (2022). Overexpression of the WAPO-A1 gene increases the number of spikelets per spike in bread wheat. Scientific Reports. 12(1). 14229–14229. 8 indexed citations
4.
Lacape, Jean-Marc, Tuong‐Vi Cao, Christopher Viot, et al.. (2013). Mapping QTLs for traits related to phenology, morphology and yield components in an inter-specific Gossypium hirsutum×G. barbadense cotton RIL population. Field Crops Research. 144. 256–267. 41 indexed citations
5.
Grand, Xavier, et al.. (2012). Identification of positive and negative regulators of disease resistance to rice blast fungus using constitutive gene expression patterns. Plant Biotechnology Journal. 10(7). 840–850. 18 indexed citations
6.
Lacape, Jean-Marc, Michel Claverie, Ramón Vidal, et al.. (2012). Deep Sequencing Reveals Differences in the Transcriptional Landscapes of Fibers from Two Cultivated Species of Cotton. PLoS ONE. 7(11). e48855–e48855. 31 indexed citations
7.
Claverie, Michel, Marlène Souquet, Janine Jean, et al.. (2011). cDNA-AFLP-based genetical genomics in cotton fibers. Theoretical and Applied Genetics. 124(4). 665–683. 14 indexed citations
8.
Lacape, Jean-Marc, Danny Llewellyn, John Jacobs, et al.. (2010). Meta-analysis of cotton fiber quality QTLs across diverse environments in a Gossypium hirsutum x G. barbadense RIL population. BMC Plant Biology. 10(1). 132–132. 111 indexed citations
9.
Liu, Shiming, Danny Llewellyn, Warwick N. Stiller, et al.. (2010). Heritability and predicted selection response of yield components and fibre properties in an inter-specific derived RIL population of cotton. Euphytica. 178(3). 309–320. 10 indexed citations
10.
Lacape, Jean-Marc, John Jacobs, Tony Arioli, et al.. (2009). A new interspecific, Gossypium hirsutum × G. barbadense, RIL population: towards a unified consensus linkage map of tetraploid cotton. Theoretical and Applied Genetics. 119(2). 281–292. 81 indexed citations
11.
Stipanovic, Robert D., Lorraine S. Puckhaber, Alois A. Bell, A. E. Percival, & John Jacobs. (2005). Occurrence of (+)- and (−)-Gossypol in Wild Species of Cotton and in Gossypium hirsutum Var. marie-galante (Watt) Hutchinson. Journal of Agricultural and Food Chemistry. 53(16). 6266–6271. 54 indexed citations
12.
Eldik, Gerben J. van, et al.. (1999). Posttranscriptional gene silencing of gn1 in tobacco triggers accumulation of truncated gn1-derived RNA species. RNA. 5(10). 1364–1373. 8 indexed citations
13.
Jacobs, John, Matthew Sanders, Marc Bots, et al.. (1999). Sequences throughout the basic β‐1,3‐glucanase mRNA coding region are targets for homology dependent post‐transcriptional gene silencing. The Plant Journal. 20(2). 143–152. 17 indexed citations
14.
Eldik, Gerben J. van, et al.. (1998). Silencing of  -1,3-glucanase genes in tobacco correlates with an increased abundance of RNA degradation intermediates. Nucleic Acids Research. 26(22). 5176–5181. 40 indexed citations
15.
Jacobs, John, et al.. (1997). Post‐transcriptional β‐1,3‐glucanase gene silencing involves increased transcript turnover that is translation‐independent. The Plant Journal. 12(4). 885–893. 28 indexed citations
16.
Hochstenbach, Ron, Peter de Groot, John Jacobs, J. A. M. Schrauwen, & G. J. Wullems. (1996). The promoter of a gene that is expressed only in pollen interacts with ubiquitous transcription factors. Sexual Plant Reproduction. 9(4). 197–202. 2 indexed citations
17.
Jacobs, John, et al.. (1995). Isolation and Characterization of Mutants of Thiophene Synthesis in Tagetes erecta. PLANT PHYSIOLOGY. 107(3). 807–814. 13 indexed citations
18.
Jacobs, John, et al.. (1995). Thiophene bioconversions in Tagetes protoplasts. Plant Science. 104(2). 139–145. 2 indexed citations
19.
Croes, A. F., John Jacobs, Randolph Arroo, & G. J. Wullems. (1995). Molecular and metabolic control of secondary metabolism. Plant Cell Tissue and Organ Culture (PCTOC). 43(2). 127–130. 5 indexed citations
20.

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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