John P. Grady

2.3k total citations
51 papers, 1.4k citations indexed

About

John P. Grady is a scholar working on Molecular Biology, Clinical Biochemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, John P. Grady has authored 51 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 16 papers in Clinical Biochemistry and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in John P. Grady's work include Mitochondrial Function and Pathology (21 papers), Metabolism and Genetic Disorders (16 papers) and Genetic Neurodegenerative Diseases (7 papers). John P. Grady is often cited by papers focused on Mitochondrial Function and Pathology (21 papers), Metabolism and Genetic Disorders (16 papers) and Genetic Neurodegenerative Diseases (7 papers). John P. Grady collaborates with scholars based in United Kingdom, Australia and United States. John P. Grady's co-authors include Douglass M. Turnbull, Robert W. Taylor, Karolina A. Rygiel, Gráinne S. Gorman, Robert McFarland, Yi Shiau Ng, Andrew M. Schaefer, Mariana C. Rocha, Emma L. Blakely and Charlotte L. Alston and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

John P. Grady

48 papers receiving 1.4k 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 P. Grady United Kingdom 22 1.1k 490 208 140 121 51 1.4k
Mohammed Al‐Owain Saudi Arabia 25 1.1k 1.0× 267 0.5× 157 0.8× 116 0.8× 110 0.9× 87 2.0k
Helen Griffin United Kingdom 23 1.0k 1.0× 227 0.5× 374 1.8× 92 0.7× 148 1.2× 49 1.5k
Göknur Haliloğlu Türkiye 23 922 0.9× 183 0.4× 224 1.1× 189 1.4× 110 0.9× 116 1.7k
Nadine Gigarel France 18 1.8k 1.7× 711 1.5× 194 0.9× 134 1.0× 119 1.0× 39 2.2k
Caterina Garone Italy 21 1.3k 1.2× 641 1.3× 131 0.6× 78 0.6× 44 0.4× 45 1.7k
Alison G. Compton Australia 23 2.2k 2.0× 1.1k 2.1× 163 0.8× 138 1.0× 48 0.4× 42 2.5k
Pengfei Lin China 19 445 0.4× 124 0.3× 169 0.8× 88 0.6× 70 0.6× 66 872
Ivo Kremensky Bulgaria 18 753 0.7× 127 0.3× 395 1.9× 121 0.9× 33 0.3× 75 1.4k
Anne-Sophie Lèbre France 18 769 0.7× 316 0.6× 132 0.6× 65 0.5× 43 0.4× 38 1.1k
Konrad Oexle Germany 20 609 0.6× 115 0.2× 110 0.5× 175 1.3× 186 1.5× 63 1.3k

Countries citing papers authored by John P. Grady

Since Specialization
Citations

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

Fields of papers citing papers by John P. Grady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John P. Grady

This figure shows the co-authorship network connecting the top 25 collaborators of John P. Grady. A scholar is included among the top collaborators of John P. Grady 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 P. Grady. John P. Grady 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.
Sharaf, Radwa, Dexter X. Jin, John P. Grady, et al.. (2023). A pan-sarcoma landscape of telomeric content shows that alterations in RAD51B and GID4 are associated with higher telomeric content. npj Genomic Medicine. 8(1). 26–26. 5 indexed citations
3.
Thavaneswaran, Subotheni, Maya Kansara, Frank Cheau‐Feng Lin, et al.. (2023). A signal-seeking Phase 2 study of olaparib and durvalumab in advanced solid cancers with homologous recombination repair gene alterations. British Journal of Cancer. 129(3). 475–485. 7 indexed citations
4.
Lin, Frank, Subotheni Thavaneswaran, John P. Grady, et al.. (2021). Criteria-based curation of a therapy-focused compendium to support treatment recommendations in precision oncology. npj Precision Oncology. 5(1). 58–58. 6 indexed citations
5.
Mueller, Simon A., Marie Gauthier, James Blackburn, et al.. (2020). Molecular patterns in salivary duct carcinoma identify prognostic subgroups. Modern Pathology. 33(10). 1896–1909. 21 indexed citations
6.
Parrish, R. Ryley, John P. Grady, Neela K. Codadu, Claudia Racca, & Andrew J. Trevelyan. (2018). Graphical user interface for simultaneous profiling of activity patterns in multiple neuronal subclasses. Data in Brief. 20. 226–233. 1 indexed citations
7.
Reeve, Amy K., et al.. (2018). Mitochondrial dysfunction within the synapses of substantia nigra neurons in Parkinson’s disease. npj Parkinson s Disease. 4(1). 9–9. 98 indexed citations
8.
Parrish, R. Ryley, John P. Grady, Neela K. Codadu, Andrew J. Trevelyan, & Claudia Racca. (2018). Simultaneous profiling of activity patterns in multiple neuronal subclasses. Journal of Neuroscience Methods. 303. 16–29. 5 indexed citations
9.
Dutta, Ankit K., J. Lynn Fink, John P. Grady, et al.. (2018). Subclonal evolution in disease progression from MGUS/SMM to multiple myeloma is characterised by clonal stability. Leukemia. 33(2). 457–468. 89 indexed citations
10.
Grady, John P., Sarah J. Pickett, Yi Shiau Ng, et al.. (2018). mt DNA heteroplasmy level and copy number indicate disease burden in m.3243A>G mitochondrial disease. EMBO Molecular Medicine. 10(6). 190 indexed citations
11.
Dutta, Ankit K., John P. Grady, D. Hewett, et al.. (2017). Whole Exome Sequencing of Paired MGUS/SMM to MM Patients Reveals Novel Subclonal Tumour Evolution Models in Disease Progression of Multiple Myeloma. Blood. 130. 391–391. 1 indexed citations
12.
Martikainen, Mika H., John P. Grady, Yi Shiau Ng, et al.. (2017). Decreased male reproductive success in association with mitochondrial dysfunction. European Journal of Human Genetics. 25(10). 1162–1164. 20 indexed citations
13.
Vincent, Amy E., Hannah S. Rosa, Charlotte L. Alston, et al.. (2016). Dysferlin mutations and mitochondrial dysfunction. Neuromuscular Disorders. 26(11). 782–788. 26 indexed citations
14.
Vincent, Amy E., John P. Grady, Mariana C. Rocha, et al.. (2016). Mitochondrial dysfunction in myofibrillar myopathy. Neuromuscular Disorders. 26(10). 691–701. 28 indexed citations
15.
Grady, John P., et al.. (2015). Integrating Television Media into Group Counseling Course Work. Journal of Counselor Preparation and Supervision. 7(2). 3. 3 indexed citations
16.
Ng, Yi Shiau, Gráinne S. Gorman, Victoria Nesbitt, et al.. (2015). Phenotypes and Genotypes of Mitochondrial Disease- Findings from A National Mitochondrial Disease Cohort (P2.061). Neurology. 84(14_supplement). 1 indexed citations
17.
Rocha, Mariana C., John P. Grady, Anne Grünewald, et al.. (2015). A novel immunofluorescent assay to investigate oxidative phosphorylation deficiency in mitochondrial myopathy: understanding mechanisms and improving diagnosis. Scientific Reports. 5(1). 15037–15037. 89 indexed citations
18.
Grady, John P., Julie L. Murphy, Emma L. Blakely, et al.. (2014). Accurate Measurement of Mitochondrial DNA Deletion Level and Copy Number Differences in Human Skeletal Muscle. PLoS ONE. 9(12). e114462–e114462. 50 indexed citations
19.
Serrano‐Pedraza, Ignacio, John P. Grady, & Jenny C. A. Read. (2012). Spatial frequency bandwidth of surround suppression tuning curves. Journal of Vision. 12(6). 24–24. 10 indexed citations
20.
Weaver, Kevan, Nigel D. White, H. Tananbaum, et al.. (1999). Key Technology Development for Constellation-X. AAS. 195. 1 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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