Alejo Nevado‐Holgado

4.8k total citations · 1 hit paper
58 papers, 1.6k citations indexed

About

Alejo Nevado‐Holgado is a scholar working on Physiology, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Alejo Nevado‐Holgado has authored 58 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 12 papers in Molecular Biology and 12 papers in Artificial Intelligence. Recurrent topics in Alejo Nevado‐Holgado's work include Alzheimer's disease research and treatments (15 papers), Machine Learning in Healthcare (11 papers) and Dementia and Cognitive Impairment Research (11 papers). Alejo Nevado‐Holgado is often cited by papers focused on Alzheimer's disease research and treatments (15 papers), Machine Learning in Healthcare (11 papers) and Dementia and Cognitive Impairment Research (11 papers). Alejo Nevado‐Holgado collaborates with scholars based in United Kingdom, United States and Belgium. Alejo Nevado‐Holgado's co-authors include Rafał Bogacz, Simon Lovestone, John R. Terry, Laura Winchester, Andrey Kormilitzin, Elena M. Ribé, Danielle Newby, John Powell, Peter J. Magill and Nicolas Mallet and has published in prestigious journals such as Nature Medicine, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Alejo Nevado‐Holgado

57 papers receiving 1.6k 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.

Integrating the environmental and genetic architectures of aging and mortality

2025 38 citations M. Austin Argentieri, Najaf Amin et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alejo Nevado‐Holgado United Kingdom	23	376	318	295	287	246	58	1.6k
David B. Keator United States	27	522 1.4×	226 0.7×	172 0.6×	386 1.3×	910 3.7×	89	2.5k
Alexandra L. Young United Kingdom	20	256 0.7×	132 0.4×	271 0.9×	539 1.9×	374 1.5×	55	1.5k
Elyse Katz United States	10	183 0.5×	180 0.6×	184 0.6×	237 0.8×	525 2.1×	15	1.4k
Frank Wiegand United States	16	316 0.8×	404 1.3×	123 0.4×	156 0.5×	106 0.4×	35	1.4k
Michael Hüll Germany	27	374 1.0×	294 0.9×	164 0.6×	503 1.8×	381 1.5×	80	2.1k
Chieh‐Hsin Lin Taiwan	31	875 2.3×	480 1.5×	107 0.4×	678 2.4×	295 1.2×	103	3.0k
Mohamad Habes United States	24	254 0.7×	170 0.5×	258 0.9×	588 2.0×	587 2.4×	93	2.5k
Allitia DiBernardo United States	21	175 0.5×	126 0.4×	199 0.7×	219 0.8×	163 0.7×	45	1.4k
Derrek P. Hibar United States	24	451 1.2×	130 0.4×	79 0.3×	480 1.7×	576 2.3×	62	1.9k

Countries citing papers authored by Alejo Nevado‐Holgado

Since Specialization

Citations

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

Fields of papers citing papers by Alejo Nevado‐Holgado

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alejo Nevado‐Holgado. 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 Alejo Nevado‐Holgado. The network helps show where Alejo Nevado‐Holgado may publish in the future.

Co-authorship network of co-authors of Alejo Nevado‐Holgado

This figure shows the co-authorship network connecting the top 25 collaborators of Alejo Nevado‐Holgado. A scholar is included among the top collaborators of Alejo Nevado‐Holgado 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 Alejo Nevado‐Holgado. Alejo Nevado‐Holgado 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

Joyce, Dan W., et al.. (2025). Detecting the clinical features of difficult-to-treat depression using synthetic data from large language models. Computers in Biology and Medicine. 194. 110246–110246. 1 indexed citations

Argentieri, M. Austin, Najaf Amin, Alejo Nevado‐Holgado, et al.. (2025). Integrating the environmental and genetic architectures of aging and mortality. Nature Medicine. 31(3). 1016–1025. 38 indexed citations breakdown →

Taylor, Niall, et al.. (2024). Developing healthcare language model embedding spaces. Artificial Intelligence in Medicine. 158. 103009–103009. 1 indexed citations

Taylor, Niall, et al.. (2024). Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks. Artificial Intelligence in Medicine. 157. 103002–103002. 4 indexed citations

Taylor, Niall, et al.. (2024). Model development for bespoke large language models for digital triage assistance in mental health care. Artificial Intelligence in Medicine. 157. 102988–102988. 4 indexed citations

Taylor, Niall, et al.. (2023). Clinical Prompt Learning With Frozen Language Models. IEEE Transactions on Neural Networks and Learning Systems. 35(11). 16453–16463. 20 indexed citations

Li, Zhenpeng, Andrey Kormilitzin, Marco Fernandes, et al.. (2022). Validation of UK Biobank data for mental health outcomes: A pilot study using secondary care electronic health records. International Journal of Medical Informatics. 160. 104704–104704. 13 indexed citations

Zhang, Yuting, Noel J. Buckley, Sebastiaan Engelborghs, et al.. (2022). Predicting AT(N) pathologies in Alzheimer’s disease from blood-based proteomic data using neural networks. Frontiers in Aging Neuroscience. 14. 1040001–1040001. 10 indexed citations

Maruszak, Aleksandra, Edina Silajdžić, Hyun-Ah Lee, et al.. (2022). Predicting progression to Alzheimer’s disease with human hippocampal progenitors exposed to serum. Brain. 146(5). 2045–2058. 19 indexed citations

10.

Newby, Danielle, Marco Fernandes, Yasmina Molero, et al.. (2022). Comparative effect of metformin versus sulfonylureas with dementia and Parkinson’s disease risk in US patients over 50 with type 2 diabetes mellitus. BMJ Open Diabetes Research & Care. 10(5). e003036–e003036. 28 indexed citations

11.

Hillary, Robert F., Danni A. Gadd, Daniel L. McCartney, et al.. (2022). Genome‐ and epigenome‐wide studies of plasma protein biomarkers for Alzheimer's disease implicate TBCA and TREM2 in disease risk. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 14(1). e12280–e12280. 5 indexed citations

12.

Sommerlad, Andrew, Nomi Werbeloff, Gayan Perera, et al.. (2021). Effect of trazodone on cognitive decline in people with dementia: Cohort study using UK routinely collected data. International Journal of Geriatric Psychiatry. 37(1). 9 indexed citations

13.

Martín‐Sánchez, Ana, Janet Piñero, Lara Nonell, et al.. (2021). Comorbidity between Alzheimer’s disease and major depression: a behavioural and transcriptomic characterization study in mice. Alzheimer s Research & Therapy. 13(1). 73–73. 28 indexed citations

14.

Birkenbihl, Colin, Sarah Westwood, Liu Shi, et al.. (2020). ANMerge: A Comprehensive and Accessible Alzheimer’s Disease Patient-Level Dataset. Journal of Alzheimer s Disease. 79(1). 423–431. 20 indexed citations

15.

Yu, Rongqin, Alejo Nevado‐Holgado, Yasmina Molero, et al.. (2019). Mental disorders and intimate partner violence perpetrated by men towards women: A Swedish population-based longitudinal study. PLoS Medicine. 16(12). e1002995–e1002995. 96 indexed citations

16.

Morrill, James, Andrey Kormilitzin, Alejo Nevado‐Holgado, et al.. (2019). The Signature-Based Model for Early Detection of Sepsis From Electronic Health Records in the Intensive Care Unit. Computing in Cardiology Conference. 46. 1–4. 10 indexed citations

17.

Rojo, Ana I., Marta Pajares, Patricia Rada, et al.. (2017). NRF2 deficiency replicates transcriptomic changes in Alzheimer's patients and worsens APP and TAU pathology. Redox Biology. 13. 444–451. 181 indexed citations

18.

Karystianis, George, et al.. (2017). Automatic mining of symptom severity from psychiatric evaluation notes. International Journal of Methods in Psychiatric Research. 27(1). 24 indexed citations

19.

Barber, Imelda, Alejo Nevado‐Holgado, & Simon Lovestone. (2017). [P3–232]: A PARKINSON's DISEASE PROTEIN BIOMARKER PANEL USING THE SOMAMER ASSAY AND MACHINE LEARNING. Alzheimer s & Dementia. 13(7S_Part_21). 3 indexed citations

20.

Nevado‐Holgado, Alejo, et al.. (2016). Commonly prescribed drugs associate with cognitive function: a cross-sectional study in UK Biobank. BMJ Open. 6(11). e012177–e012177. 54 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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