Simon Ball

6.4k total citations
127 papers, 3.8k citations indexed

About

Simon Ball is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Simon Ball has authored 127 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 35 papers in Surgery and 28 papers in Genetics. Recurrent topics in Simon Ball's work include Renal Transplantation Outcomes and Treatments (25 papers), Genetic Syndromes and Imprinting (20 papers) and Epigenetics and DNA Methylation (17 papers). Simon Ball is often cited by papers focused on Renal Transplantation Outcomes and Treatments (25 papers), Genetic Syndromes and Imprinting (20 papers) and Epigenetics and DNA Methylation (17 papers). Simon Ball collaborates with scholars based in United Kingdom, United States and Canada. Simon Ball's co-authors include Jo Peters, Richard Borrows, Christine M. Williamson, C.V. Beechey, Paul Cockwell, Shazia Shabir, Josephine Peters, P. H. Glenister, Gavin Kelsey and Adnan Sharif and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and PLoS ONE.

In The Last Decade

Simon Ball

126 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Ball United Kingdom 33 1.1k 920 897 644 504 127 3.8k
Wassim Y. Almawi Bahrain 41 1.1k 1.0× 665 0.7× 887 1.0× 243 0.4× 1.6k 3.2× 305 6.3k
Ashwani Khanna United States 30 821 0.7× 787 0.9× 179 0.2× 654 1.0× 406 0.8× 149 3.2k
Timo Räth Germany 39 874 0.8× 1.3k 1.4× 914 1.0× 308 0.5× 1.1k 2.2× 215 4.9k
Karen M. Dwyer Australia 34 1.2k 1.1× 906 1.0× 511 0.6× 229 0.4× 2.5k 4.9× 145 6.3k
Marcos López‐Hoyos Spain 37 606 0.5× 949 1.0× 270 0.3× 1.0k 1.6× 1.5k 2.9× 281 5.1k
Bernard Charpentier France 40 804 0.7× 1.6k 1.7× 278 0.3× 2.5k 3.9× 1.5k 2.9× 106 5.6k
Dominique Latinne Belgium 29 343 0.3× 1.8k 2.0× 329 0.4× 1.1k 1.7× 678 1.3× 145 3.8k
Kenneth I. Welsh United Kingdom 37 702 0.6× 507 0.6× 554 0.6× 223 0.3× 1.5k 3.1× 68 4.2k
Carlos López‐Larrea Spain 48 1.8k 1.6× 586 0.6× 748 0.8× 301 0.5× 3.5k 6.9× 221 7.1k
Jun Oh Germany 31 858 0.8× 482 0.5× 489 0.5× 140 0.2× 543 1.1× 159 4.0k

Countries citing papers authored by Simon Ball

Since Specialization
Citations

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

Fields of papers citing papers by Simon Ball

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Ball

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Ball. A scholar is included among the top collaborators of Simon Ball 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 Simon Ball. Simon Ball 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.
Slater, Luke T., John A. Williams, Paul N. Schofield, et al.. (2022). Klarigi: Characteristic explanations for semantic biomedical data. Computers in Biology and Medicine. 153. 106425–106425. 1 indexed citations
2.
Pankhurst, Tanya, Felicity Evison, Suzy Gallier, et al.. (2021). Rapid adaptation of a local healthcare digital system to COVID-19: The experience in Birmingham (UK). Health Policy and Technology. 10(4). 100568–100568. 4 indexed citations
3.
Slater, Luke T., John A. Williams, Andreas Karwath, et al.. (2021). Multi-faceted semantic clustering with text-derived phenotypes. Computers in Biology and Medicine. 138. 104904–104904. 3 indexed citations
4.
Slater, Luke T., et al.. (2021). A fast, accurate, and generalisable heuristic-based negation detection algorithm for clinical text. Computers in Biology and Medicine. 130. 104216–104216. 12 indexed citations
5.
Pankhurst, Tanya, Felicity Evison, Suzy Gallier, et al.. (2021). Introduction of Systematized Nomenclature of Medicine–Clinical Terms Coding Into an Electronic Health Record and Evaluation of its Impact: Qualitative and Quantitative Study. JMIR Medical Informatics. 9(11). e29532–e29532. 3 indexed citations
6.
Sapey, Elizabeth, Suzy Gallier, Peter Nightingale, et al.. (2020). Ethnicity and risk of death in patients hospitalised for COVID-19 infection in the UK: an observational cohort study in an urban catchment area. BMJ Open Respiratory Research. 7(1). e000644–e000644. 55 indexed citations
7.
Nishio, Makoto, Fabrice Barlési, Howard West, et al.. (2020). Atezolizumab Plus Chemotherapy for First-Line Treatment of Non-Squamous Non-Small Cell Lung Cancer: Results From the Randomized Phase III IMpower132 Trial.. Journal of Thoracic Oncology. 7 indexed citations
8.
Pankhurst, Tanya, Charles J. Ferro, Peter Nightingale, et al.. (2017). Hospital acquired Acute Kidney Injury is associated with increased mortality but not increased readmission rates in a UK acute hospital. BMC Nephrology. 18(1). 317–317. 18 indexed citations
9.
Shabir, Shazia, et al.. (2013). Validity of glycated haemoglobin to diagnose new onset diabetes after transplantation. Transplant International. 26(3). 315–321. 56 indexed citations
10.
Eaton, Sally A., Christine M. Williamson, Simon Ball, et al.. (2012). New Mutations at the Imprinted Gnas Cluster Show Gene Dosage Effects of Gs α in Postnatal Growth and Implicate XL α s in Bone and Fat Metabolism but Not in Suckling. Molecular and Cellular Biology. 32(5). 1017–1029. 21 indexed citations
11.
Moore, Jason H., Xiang He, Xiang Liu, et al.. (2011). Mortality prediction after kidney transplantation: comparative clinical use of 7 comorbidity indices.. PubMed. 9(1). 32–41. 21 indexed citations
12.
Williamson, Christine M., Simon Ball, Claire Dawson, et al.. (2011). Uncoupling Antisense-Mediated Silencing and DNA Methylation in the Imprinted Gnas Cluster. PLoS Genetics. 7(3). e1001347–e1001347. 79 indexed citations
13.
Sharif, Adnan, Haifaa Jawad, Peter Nightingale, et al.. (2011). A Quantitative Survey of Western Muslim Attitudes to Solid Organ Donation. Transplantation. 92(10). 1108–1114. 44 indexed citations
14.
15.
Landray, Martin, David C. Wheeler, Gregory Y.H. Lip, et al.. (2004). Inflammation, endothelial dysfunction, and platelet activation in patients with chronic kidney disease: the chronic renal impairment in Birmingham (CRIB) study. American Journal of Kidney Diseases. 43(2). 244–253. 253 indexed citations
16.
Ball, Simon. (2003). Urinary retinol binding protein in Indo-Asian patients with idiopathic interstitial nephritis. QJM. 96(5). 363–367. 4 indexed citations
17.
Ball, Simon, et al.. (2001). The spatial and temporal expression pattern of Nesp and its antisense Nespas, in mid-gestation mouse embryos. Mechanisms of Development. 100(1). 79–81. 13 indexed citations
18.
Kelsey, Gavin, Judith A. Skinner, Simon Ball, et al.. (2000). An imprinted transcript, antisense to Nesp, adds complexity to the cluster of imprinted genes at the mouse Gnas locus. Proceedings of the National Academy of Sciences. 97(7). 3342–3346. 136 indexed citations
19.
20.
Hegde, U. M., et al.. (1985). The relative incidence of idiopathic and secondary autoimmune thrombocytopenia: a clinical and serological evaluation in 508 patients. Clinical & Laboratory Haematology. 7(1). 7–16. 14 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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