Steven J. Kiddle

6.5k total citations · 1 hit paper
42 papers, 1.6k citations indexed

About

Steven J. Kiddle is a scholar working on Physiology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Steven J. Kiddle has authored 42 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Physiology, 18 papers in Molecular Biology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Steven J. Kiddle's work include Alzheimer's disease research and treatments (15 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (10 papers) and Dementia and Cognitive Impairment Research (9 papers). Steven J. Kiddle is often cited by papers focused on Alzheimer's disease research and treatments (15 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (10 papers) and Dementia and Cognitive Impairment Research (9 papers). Steven J. Kiddle collaborates with scholars based in United Kingdom, United States and Sweden. Steven J. Kiddle's co-authors include Richard Batrla, Simone Lista, Harald Hampel, Kaj Blennow, José Luís Molinuevo, Sid E. O’Bryant, Colin L. Masters, Henrik Zetterberg, Richard Dobson and Simon Lovestone and has published in prestigious journals such as The Lancet, Nature Communications and Bioinformatics.

In The Last Decade

Steven J. Kiddle

41 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.

Blood-based biomarkers for Alzheimer disease: mapping the road to the clinic

2018 464 citations Steven J. Kiddle et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steven J. Kiddle United Kingdom	19	713	626	386	199	163	42	1.6k
Martina Zimmermann Germany	27	552 0.8×	716 1.1×	196 0.5×	60 0.3×	163 1.0×	76	1.9k
Shea J. Andrews United States	21	567 0.8×	892 1.4×	298 0.8×	40 0.2×	292 1.8×	47	1.9k
Herman Depypere Belgium	26	430 0.6×	581 0.9×	236 0.6×	181 0.9×	130 0.8×	56	2.5k
Jing Qian United States	29	598 0.8×	1.2k 1.9×	472 1.2×	53 0.3×	161 1.0×	92	3.2k
Chunling Wan China	26	345 0.5×	1.1k 1.8×	302 0.8×	42 0.2×	76 0.5×	98	2.1k
James G. Bollinger United States	28	931 1.3×	1.5k 2.3×	532 1.4×	50 0.3×	187 1.1×	40	3.1k
Yiping Wei China	21	358 0.5×	1.0k 1.7×	152 0.4×	53 0.3×	166 1.0×	125	2.1k
Constance Delaby France	24	591 0.8×	546 0.9×	310 0.8×	24 0.1×	130 0.8×	66	1.9k
Matthias Arnold Germany	21	590 0.8×	1.1k 1.8×	121 0.3×	33 0.2×	98 0.6×	70	2.0k
Alfonso Di Costanzo Italy	28	390 0.5×	608 1.0×	223 0.6×	53 0.3×	203 1.2×	103	2.7k

Countries citing papers authored by Steven J. Kiddle

Since Specialization

Citations

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

Fields of papers citing papers by Steven J. Kiddle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven J. Kiddle. 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 Steven J. Kiddle. The network helps show where Steven J. Kiddle may publish in the future.

Co-authorship network of co-authors of Steven J. Kiddle

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

All Works

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20 of 20 papers shown

Janet, Jon Paul, et al.. (2024). Transfer learning with graph neural networks for improved molecular property prediction in the multi-fidelity setting. Nature Communications. 15(1). 1517–1517. 52 indexed citations

Kiddle, Steven J., Karolina Andersson Sundell, Shira Perl, Stephen Nolan, & Magnus Bjursell. (2024). Urate‐lowering therapy in patients with hyperuricemia and heart failure: A retrospective cohort study using the UK Clinical Practice Research Datalink. Clinical Cardiology. 47(6). e24297–e24297. 3 indexed citations

Åstrand, Annika, et al.. (2023). Effect of COVID-19 on Bronchiectasis Exacerbation Rates: A Retrospective U.S. Insurance Claims Study. Annals of the American Thoracic Society. 21(2). 261–270. 8 indexed citations

Kiddle, Steven J., Daniel Bean, Phillip R. Hunt, et al.. (2023). Evaluating clinical outcomes and prognosis in patients with cirrhosis and portal hypertension: a retrospective observational cohort study. BMJ Open Gastroenterology. 10(1). e001234–e001234. 1 indexed citations

Nichols, Linda O., Tom Taverner, Francesca L. Crowe, et al.. (2022). In simulated data and health records, latent class analysis was the optimum multimorbidity clustering algorithm. Journal of Clinical Epidemiology. 152. 164–175. 18 indexed citations

Whittaker, Hannah, Kevin Wing, Ian Douglas, Steven J. Kiddle, & Jennifer K Quint. (2022). Inhaled Corticosteroid Withdrawal and Change in Lung Function in Primary Care Patients with Chronic Obstructive Pulmonary Disease in England. Annals of the American Thoracic Society. 19(11). 1834–1841. 6 indexed citations

Whittaker, Hannah, Steven J. Kiddle, & Jennifer K Quint. (2021). Challenges and Pitfalls of Using Repeat Spirometry Recordings in Routine Primary Care Data to Measure FEV1 Decline in a COPD Population. PubMed. Volume 12. 119–130. 2 indexed citations

Zhu, Yajing, Duncan Edwards, Jonathan Mant, Rupert Payne, & Steven J. Kiddle. (2020). Characteristics, service use and mortality of clusters of multimorbid patients in England: a population-based study. BMC Medicine. 18(1). 78–78. 61 indexed citations

Kiddle, Steven J., Hannah Whittaker, Shaun R. Seaman, & Jennifer K Quint. (2020). Prediction of five-year mortality after COPD diagnosis using primary care records. PLoS ONE. 15(7). e0236011–e0236011. 10 indexed citations

10.

Whittaker, Hannah, Hana Müllerová, Deborah Jarvis, et al.. (2019). <p>Inhaled corticosteroids, blood eosinophils, and FEV<sub>1</sub> decline in patients with COPD in a large UK primary health care setting</p>. International Journal of COPD. Volume 14. 1063–1073. 13 indexed citations

11.

Whittaker, Hannah, et al.. (2019). Inhaled corticosteroids and FEV1 decline in chronic obstructive pulmonary disease: a systematic review. Respiratory Research. 20(1). 277–277. 9 indexed citations

12.

Voyle, Nicola, Petroula Proitsi, Nicholas J. Ashton, et al.. (2016). Blood metabolite markers of neocortical amyloid-β burden: discovery and enrichment using candidate proteins. Translational Psychiatry. 6(1). e719–e719. 19 indexed citations

13.

Voyle, Nicola, Hamel Patel, Amos Folarin, et al.. (2016). Genetic Risk as a Marker of Amyloid-β and Tau Burden in Cerebrospinal Fluid. Journal of Alzheimer s Disease. 55(4). 1417–1427. 11 indexed citations

14.

Khan, Wasim, Carlos Aguilar, Steven J. Kiddle, et al.. (2015). A Subset of Cerebrospinal Fluid Proteins from a Multi-Analyte Panel Associated with Brain Atrophy, Disease Classification and Prediction in Alzheimer’s Disease. PLoS ONE. 10(8). e0134368–e0134368. 26 indexed citations

15.

Voyle, Nicola, Aoife Keohane, Stephen Newhouse, et al.. (2015). A Pathway Based Classification Method for Analyzing Gene Expression for Alzheimer’s Disease Diagnosis. Journal of Alzheimer s Disease. 49(3). 659–669. 45 indexed citations

16.

Dobson, Richard, et al.. (2014). Are Blood-Based Protein Biomarkers for Alzheimer's Disease also Involved in Other Brain Disorders? A Systematic Review. Journal of Alzheimer s Disease. 43(1). 303–314. 39 indexed citations

17.

Sattlecker, Martina, Steven J. Kiddle, Stephen Newhouse, et al.. (2014). Alzheimer's disease biomarker discovery using SOMAscan multiplexed protein technology. Alzheimer s & Dementia. 10(6). 724–734. 144 indexed citations

18.

Kiddle, Steven J., Martina Sattlecker, Petroula Proitsi, et al.. (2013). Candidate Blood Proteome Markers of Alzheimer's Disease Onset and Progression: A Systematic Review and Replication Study. Journal of Alzheimer s Disease. 38(3). 515–531. 134 indexed citations

19.

Bazenet, Chantal, Steven J. Kiddle, Martina Sattlecker, et al.. (2013). P4–344: Candidate blood proteome markers of Alzheimer's disease onset and progression: A systematic review and replication study. Alzheimer s & Dementia. 9(4S_Part_22). 11 indexed citations

20.

Kiddle, Steven J., Madhav Thambisetty, Andrew Simmons, et al.. (2012). Plasma Based Markers of [11C] PiB-PET Brain Amyloid Burden. PLoS ONE. 7(9). e44260–e44260. 68 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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