Andrew Goodall

522 total citations
10 papers, 406 citations indexed

About

Andrew Goodall is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Andrew Goodall has authored 10 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Plant Science and 2 papers in Cell Biology. Recurrent topics in Andrew Goodall's work include Plant nutrient uptake and metabolism (4 papers), Legume Nitrogen Fixing Symbiosis (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Andrew Goodall is often cited by papers focused on Plant nutrient uptake and metabolism (4 papers), Legume Nitrogen Fixing Symbiosis (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Andrew Goodall collaborates with scholars based in Australia, United Kingdom and Italy. Andrew Goodall's co-authors include John F. Hancock, Robert G. Parton, Sarah J. Plowman, Nicholas Ariotti, Gary D. Bending, John P. Hammond, Ian D. E. A. Lidbury, Alexandra M. E. Jones, Andrew R. J. Murphy and David J. Scanlan and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Scientific Reports.

In The Last Decade

Andrew Goodall

10 papers receiving 402 citations

Peers

Andrew Goodall

MB

PS

CB

SS

ECOLO

H. Yasmin Godage United Kingdom

Carolyn J. Lowry United States

Yingying Xing China

Che‐Jen Hsiao United States

Isabella Viney United States

Sijie Wang China

Jia Zhou United States

Jamil Haider United States

Xiaomin Wei China

H. Yasmin Godage United Kingdom

Andrew Goodall

410 ×1.8

MB

151 ×1.5

PS

80 ×1.5

CB

44 ×1.0

SS

14 ×0.3

ECOLO

Citations per year, relative to Andrew Goodall Andrew Goodall (= 1×) peers H. Yasmin Godage

Countries citing papers authored by Andrew Goodall

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Goodall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Goodall

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Goodall. A scholar is included among the top collaborators of Andrew Goodall 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 Andrew Goodall. Andrew Goodall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Lidbury, Ian D. E. A., Sébastien Raguideau, Chiara Borsetto, et al.. (2022). Stimulation of Distinct Rhizosphere Bacteria Drives Phosphorus and Nitrogen Mineralization in Oilseed Rape under Field Conditions. mSystems. 7(4). e0002522–e0002522. 14 indexed citations

2.

Lidbury, Ian D. E. A., Tandra D. Fraser, Andrew R. J. Murphy, et al.. (2017). The ‘known’ genetic potential for microbial communities to degrade organic phosphorus is reduced in low‐pH soils. MicrobiologyOpen. 6(4). 58 indexed citations

3.

Lidbury, Ian D. E. A., Andrew R. J. Murphy, Tandra D. Fraser, et al.. (2017). Identification of extracellular glycerophosphodiesterases in Pseudomonas and their role in soil organic phosphorus remineralisation. Scientific Reports. 7(1). 2179–2179. 33 indexed citations

4.

Lidbury, Ian D. E. A., Andrew R. J. Murphy, David J. Scanlan, et al.. (2016). Comparative genomic, proteomic and exoproteomic analyses of three Pseudomonas strains reveals novel insights into the phosphorus scavenging capabilities of soil bacteria. Environmental Microbiology. 18(10). 3535–3549. 74 indexed citations

5.

Pike, Tanya, Charlotte Widberg, Andrew Goodall, et al.. (2013). Truncated MEK1 is required for transient activation of MAPK signalling in G2 phase cells. Cellular Signalling. 25(6). 1423–1428. 1 indexed citations

6.

Nguyen, Uyen, Yao‐Wen Wu, Andrew Goodall, & Kirill Alexandrov. (2010). Analysis of Protein Prenylation In Vitro and In Vivo Using Functionalized Phosphoisoprenoids. Current Protocols in Protein Science. 62(1). Unit14.3–Unit14.3. 15 indexed citations

7.

Jones, Chris I., Leonardo A. Moraes, William J. Kaiser, et al.. (2009). PECAM-1 expression and activity negatively regulate multiple platelet signaling pathways. Scopus. 23 indexed citations

8.

Inder, Kerry L., Dorothy Loo, Natasha Chaudhary, et al.. (2009). Nucleophosmin and Nucleolin Regulate K-Ras Plasma Membrane Interactions and MAPK Signal Transduction. Journal of Biological Chemistry. 284(41). 28410–28419. 60 indexed citations

9.

Plowman, Sarah J., Nicholas Ariotti, Andrew Goodall, Robert G. Parton, & John F. Hancock. (2008). Electrostatic Interactions Positively Regulate K-Ras Nanocluster Formation and Function. Molecular and Cellular Biology. 28(13). 4377–4385. 90 indexed citations

10.

Herbert, Ben, Femia G. Hopwood, David Oxley, et al.. (2003). β‐elimination: An unexpected artefact in proteome analysis. PROTEOMICS. 3(6). 826–831. 38 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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