Richard Dobson

34.5k total citations · 3 hit papers
347 papers, 9.9k citations indexed

About

Richard Dobson is a scholar working on Molecular Biology, Small Animals and Artificial Intelligence. According to data from OpenAlex, Richard Dobson has authored 347 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Molecular Biology, 61 papers in Small Animals and 39 papers in Artificial Intelligence. Recurrent topics in Richard Dobson's work include Helminth infection and control (61 papers), Alzheimer's disease research and treatments (28 papers) and Machine Learning in Healthcare (27 papers). Richard Dobson is often cited by papers focused on Helminth infection and control (61 papers), Alzheimer's disease research and treatments (28 papers) and Machine Learning in Healthcare (27 papers). Richard Dobson collaborates with scholars based in United Kingdom, Australia and United States. Richard Dobson's co-authors include Elizabeth H Barnes, P.J. Waller, A.D. Donald, Simon Lovestone, I.A. Barger, Robert Stewart, E.H. Barnes, Stephen Newhouse, Petroula Proitsi and Magda Tsolaki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nucleic Acids Research.

In The Last Decade

Richard Dobson

327 papers receiving 9.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Functional annotation of the human brain methylome identifies tissue-specific epigenetic variation across brain and blood

2012 494 citations Richard Dobson et al. profile →
Digital health tools for the passive monitoring of depression: a systematic review of methods

2022 104 citations Valeria de Angel, Katie M White et al. profile →
World Association for the Advancement of Veterinary Parasitology (W.A.A.V.P.) guideline for diagnosing anthelmintic resistance using the faecal egg count reduction test in ruminants, horses and swine

2023 103 citations Richard Dobson et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richard Dobson United Kingdom	55	2.6k	2.1k	1.2k	1.2k	920	347	9.9k
Richard J. Martin United States	56	1.6k 0.6×	1.7k 0.8×	1.5k 1.2×	1.1k 0.9×	300 0.3×	418	10.5k
Robert J. Moore Australia	75	5.6k 2.1×	931 0.4×	684 0.6×	770 0.7×	1.1k 1.1×	373	19.1k
David J. Roberts United Kingdom	57	2.5k 0.9×	530 0.2×	237 0.2×	852 0.7×	1.2k 1.3×	395	13.0k
Frédérique Lisacek Switzerland	38	5.8k 2.2×	162 0.1×	693 0.6×	671 0.6×	873 0.9×	142	13.4k
Stephen M. Collins Canada	86	8.3k 3.1×	504 0.2×	350 0.3×	5.1k 4.4×	1.9k 2.0×	460	27.9k
Philip M. Sherman Canada	74	6.8k 2.6×	840 0.4×	380 0.3×	1.4k 1.2×	3.1k 3.4×	413	20.3k
Paul R. Burton Australia	52	2.6k 1.0×	239 0.1×	497 0.4×	3.1k 2.7×	3.2k 3.5×	228	16.4k
Martin L. Hibberd Singapore	57	4.5k 1.7×	120 0.1×	630 0.5×	980 0.8×	932 1.0×	201	13.2k
Elizabeth M. Johnson United Kingdom	56	1.7k 0.6×	889 0.4×	126 0.1×	1.2k 1.0×	441 0.5×	207	12.9k
Andrew J. Karter United States	73	1.4k 0.5×	133 0.1×	906 0.8×	1.4k 1.2×	2.0k 2.2×	261	19.5k

Countries citing papers authored by Richard Dobson

Since Specialization

Citations

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

Fields of papers citing papers by Richard Dobson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Dobson

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Laiou, Petroula, Željko Kraljević, Antonio Valentı́n, et al.. (2025). Seizure forecasting by tracking cortical response to electrical stimulation. Epilepsia. 66(10). 3937–3947.

2.

Harland, Robert, Tao Wang, Catherine Polling, et al.. (2025). Developing clinical informatics to support direct care and population health management: the VIEWER story. BMJ Health & Care Informatics. 32(1). e101530–e101530.

3.

Wang, Tao, Matthew Broadbent, Catherine Polling, et al.. (2025). VIEWER: an extensible visual analytics framework for enhancing mental healthcare. Journal of the American Medical Informatics Association. 33(1). 144–158. 1 indexed citations

4.

Ross, Jack, Yogini Jani, Enrico Costanza, et al.. (2025). Design and implementation of a natural language processing system at the point of care: MiADE (medical information AI data extractor). BMC Medical Informatics and Decision Making. 25(1). 365–365.

5.

Penn, Jack, Richard Dobson, Naomi Fersht, et al.. (2025). Utilising Natural Language Processing to Identify Brain Tumor Patients for Clinical Trials: Development and Initial Evaluation. World Neurosurgery. 197. 123907–123907. 1 indexed citations

6.

Gill, Simrat, Andrey Barsky, Xin Guan, et al.. (2024). Consumer wearable devices for evaluation of heart rate control using digoxin versus beta-blockers: the RATE-AF randomized trial. Nature Medicine. 30(7). 2030–2036. 16 indexed citations

7.

Smith, Katherine Clegg, et al.. (2024). Detecting Clinical Intent in Electronic Healthcare Records in a UK National Healthcare Hospital. 484–489. 1 indexed citations

8.

Wang, Tao, Julie Williams, Омар Мустафа, et al.. (2024). Implementation of an Electronic Clinical Decision Support System for the Early Recognition and Management of Dysglycemia in an Inpatient Mental Health Setting Using CogStack: Protocol for a Pilot Hybrid Type 3 Effectiveness-Implementation Randomized Controlled Cluster Trial. JMIR Research Protocols. 13. e49548–e49548.

9.

Miotto, Mattia, Sarah Opie-Martin, Thomas P Spargo, et al.. (2023). Molecular dynamics analysis of superoxide dismutase 1 mutations suggests decoupling between mechanisms underlying ALS onset and progression. Computational and Structural Biotechnology Journal. 21. 5296–5308. 12 indexed citations

10.

Ángel, Bárbara, Olesya Ajnakina, Cecilia Albala, et al.. (2022). Grip Strength Trajectories and Cognition in English and Chilean Older Adults: A Cross-Cohort Study. Journal of Personalized Medicine. 12(8). 1230–1230. 2 indexed citations

11.

Dixon, William G, Sabine N van der Veer, Syed Mustafa Ali, et al.. (2022). Charting a Course for Smartphones and Wearables to Transform Population Health Research. Journal of Medical Internet Research. 25. e42449–e42449. 5 indexed citations

12.

Kraljević, Željko, Harold G. Parkes, Victoria Metaxa, et al.. (2021). Natural language word embeddings as a glimpse into healthcare language and associated mortality surrounding end of life. BMJ Health & Care Informatics. 28(1). e100464–e100464. 4 indexed citations

13.

Angel, Valeria de, Katie M White, Carolin Oetzmann, et al.. (2021). Digital Health Tools for the Passive Monitoring of Depression: A Systematic Review of Methods. medRxiv. 8 indexed citations

14.

Ranjan, Yatharth, Malik A Althobiani, Joseph Jacob, et al.. (2021). Remote Assessment of Lung Disease and Impact on Physical and Mental Health (RALPMH): Protocol for a Prospective Observational Study. JMIR Research Protocols. 10(10). e28873–e28873. 10 indexed citations

15.

Lord, Jodie, Bradley Jermy, Rebecca Green, et al.. (2021). Mendelian randomization identifies blood metabolites previously linked to midlife cognition as causal candidates in Alzheimer’s disease. Proceedings of the National Academy of Sciences. 118(16). 47 indexed citations

16.

Bendayan, Rebecca, Yajing Zhu, Alex D. Federman, & Richard Dobson. (2021). Multimorbidity Patterns and Memory Trajectories in Older Adults: Evidence From the English Longitudinal Study of Aging. The Journals of Gerontology Series A. 76(5). 867–875. 26 indexed citations

17.

Wang, Tao, Dominic Oliver, Giulia Spada, et al.. (2020). Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack. Journal of Visualized Experiments. 10 indexed citations

18.

Wang, Tao, Dominic Oliver, Giulia Spada, et al.. (2020). Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack. Journal of Visualized Experiments. 20 indexed citations

19.

Dobson, Richard. (2003). Review of abortion law demanded after abortion for cleft palate. BMJ. 327(7426). 1250.4–1250.4. 5 indexed citations

20.

Dobson, Richard. (2003). Industry sponsored studies twice as likely to have positive conclusions about costs. BMJ. 327(7422). 1006.3–1006.3. 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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