J. Ashby

1.2k total citations
32 papers, 966 citations indexed

About

J. Ashby is a scholar working on Plant Science, Molecular Biology and Immunology. According to data from OpenAlex, J. Ashby has authored 32 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 10 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in J. Ashby's work include Plant Virus Research Studies (11 papers), Immune Cell Function and Interaction (6 papers) and Plant Disease Resistance and Genetics (6 papers). J. Ashby is often cited by papers focused on Plant Virus Research Studies (11 papers), Immune Cell Function and Interaction (6 papers) and Plant Disease Resistance and Genetics (6 papers). J. Ashby collaborates with scholars based in United Kingdom, France and Switzerland. J. Ashby's co-authors include Oleg Eremin, Manfred Heinlein, R.R.A. Coombs, Jacqueline Ferralli, Vitaly Boyko, Mark Seemanpillai, Paul Schellenbaum, A. Sambade, Sarah C. R. Lummis and Dennis A. Dougherty and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Nature Cell Biology.

In The Last Decade

J. Ashby

30 papers receiving 899 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Ashby United Kingdom 18 498 238 237 83 75 32 966
Ross Cocklin United States 14 305 0.6× 800 3.4× 222 0.9× 32 0.4× 84 1.1× 20 1.4k
Stephen J. Garger United States 14 353 0.7× 593 2.5× 116 0.5× 22 0.3× 17 0.2× 21 1.0k
Fernando Soriano Spain 12 190 0.4× 494 2.1× 243 1.0× 34 0.4× 79 1.1× 15 768
Jeremy Beauchamp United Kingdom 16 139 0.3× 293 1.2× 78 0.3× 66 0.8× 84 1.1× 23 822
Etsuko Suzaki Japan 15 178 0.4× 338 1.4× 155 0.7× 10 0.1× 37 0.5× 35 704
D D Freed United States 9 808 1.6× 919 3.9× 85 0.4× 69 0.8× 155 2.1× 9 1.5k
M. Kamińska Poland 17 357 0.7× 653 2.7× 79 0.3× 57 0.7× 50 0.7× 92 1.0k
Mitsuyoshi Motizuki Japan 12 212 0.4× 709 3.0× 897 3.8× 17 0.2× 79 1.1× 26 1.4k
Norio Gunge Japan 24 500 1.0× 1.4k 5.8× 111 0.5× 27 0.3× 84 1.1× 58 1.7k
Martha Vâzquez Mexico 14 156 0.3× 492 2.1× 147 0.6× 29 0.3× 59 0.8× 33 766

Countries citing papers authored by J. Ashby

Since Specialization
Citations

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

Fields of papers citing papers by J. Ashby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Ashby

This figure shows the co-authorship network connecting the top 25 collaborators of J. Ashby. A scholar is included among the top collaborators of J. Ashby 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 J. Ashby. J. Ashby 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.
Green, Michael, et al.. (2025). Energy and water dynamics in data center cooling: Insights from a modeling study in hot-arid climates. Applied Thermal Engineering. 276. 126802–126802.
2.
Ashby, J., et al.. (2022). Water-energy tradeoffs in data centers: A case study in hot-arid climates. Resources Conservation and Recycling. 181. 106194–106194. 13 indexed citations
3.
Comitani, Federico, et al.. (2014). Insights into the binding of GABA to the insect RDL receptor from atomistic simulations: a comparison of models. Journal of Computer-Aided Molecular Design. 28(1). 35–48. 16 indexed citations
4.
Ashby, J., Ian McGonigle, Kerry L. Price, et al.. (2012). GABA Binding to an Insect GABA Receptor: A Molecular Dynamics and Mutagenesis Study. Biophysical Journal. 103(10). 2071–2081. 47 indexed citations
5.
Ashby, J., Clare E. M. Stevenson, Gavin E. Jarvis, David M. Lawson, & Andrew J. Maule. (2011). Structure-Based Mutational Analysis of eIF4E in Relation to sbm1 Resistance to Pea Seed-Borne Mosaic Virus in Pea. PLoS ONE. 6(1). e15873–e15873. 43 indexed citations
6.
Lummis, Sarah C. R., Ian McGonigle, J. Ashby, & Dennis A. Dougherty. (2011). Two Amino Acid Residues Contribute to a Cation-π Binding Interaction in the Binding Site of an Insect GABA Receptor. Journal of Neuroscience. 31(34). 12371–12376. 33 indexed citations
7.
Ashby, J., Clare E. M. Stevenson, Andrew J. Maule, & David M. Lawson. (2009). Crystallization and preliminary X-ray analysis of eukaryotic initiation factor 4E fromPisum sativum. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 65(8). 836–838. 2 indexed citations
8.
Vogler, Hannes, Vy Dang, A. Sambade, et al.. (2008). Tobacco mosaic virus Movement Protein Enhances the Spread of RNA Silencing. PLoS Pathogens. 4(4). e1000038–e1000038. 59 indexed citations
9.
10.
Hu, Qiu‐Fen, et al.. (2007). Validation of microtubule-associated Tobacco mosaic virus RNA movement and involvement of microtubule-aligned particle trafficking. HAL (Le Centre pour la Communication Scientifique Directe). 5 indexed citations
11.
Ferralli, Jacqueline, et al.. (2006). Disruption of Microtubule Organization and Centrosome Function by Expression of Tobacco Mosaic Virus Movement Protein. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
12.
Ashby, J., Emmanuel Boutant, Mark Seemanpillai, et al.. (2006). Tobacco mosaic virus movement protein functions as a structural microtubule-associated protein. HAL (Le Centre pour la Communication Scientifique Directe). 6 indexed citations
13.
Ashby, J., Emmanuel Boutant, Mark Seemanpillai, et al.. (2006). Tobacco Mosaic Virus Movement Protein Functions as a Structural Microtubule-Associated Protein. Journal of Virology. 80(24). 12433–12433. 1 indexed citations
14.
Boyko, Vitaly, Jacqueline Ferralli, J. Ashby, Paul Schellenbaum, & Manfred Heinlein. (2000). Function of microtubules in intercellular transport of plant virus RNA. Nature Cell Biology. 2(11). 826–832. 139 indexed citations
15.
Cumberbatch, Marie, J. Ashby, David J. Paton, et al.. (1991). Lymphocyte transformation and thiuram sensitization. Contact Dermatitis. 24(3). 164–171. 10 indexed citations
16.
Eremin, Oleg, J. Ashby, & J. Rhodes. (1984). Inhibition of Antibody-Dependent Cellular Cytotoxicity and Natural Cytotoxicity by Retinoic Acid. International Archives of Allergy and Immunology. 75(1). 2–7. 12 indexed citations
17.
Eremin, Oleg, et al.. (1982). Characterization of the phagocytic cells isolated from the human placenta.. PubMed. 31(4). 317–24. 34 indexed citations
18.
Eremin, Oleg, R.R.A. Coombs, & J. Ashby. (1981). Lymphocytes infiltrating human breast cancers lack K-cell activity and show low levels of NK-cell activity. British Journal of Cancer. 44(2). 166–176. 58 indexed citations
19.
Eremin, Oleg, et al.. (1980). Antibody-dependent cellular cytotoxicity in the guinea pig: The role of the Kurloff cell. Cellular Immunology. 55(2). 312–327. 16 indexed citations
20.
Eremin, Oleg, et al.. (1977). Surface Characteristics of the Human K (Killer) Lymphocyte. International Archives of Allergy and Immunology. 55(1-6). 112–125. 18 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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