Chris Moran

6.1k total citations · 1 hit paper
124 papers, 3.2k citations indexed

About

Chris Moran is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Chris Moran has authored 124 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Surgery, 29 papers in Cardiology and Cardiovascular Medicine and 24 papers in Physiology. Recurrent topics in Chris Moran's work include Hip and Femur Fractures (26 papers), Dementia and Cognitive Impairment Research (18 papers) and Cardiac, Anesthesia and Surgical Outcomes (18 papers). Chris Moran is often cited by papers focused on Hip and Femur Fractures (26 papers), Dementia and Cognitive Impairment Research (18 papers) and Cardiac, Anesthesia and Surgical Outcomes (18 papers). Chris Moran collaborates with scholars based in Australia, United Kingdom and United States. Chris Moran's co-authors include Velandai Srikanth, Thanh G. Phan, Richard Beare, Michele L. Callisaya, Geert Jan Biessels, Felicia Hill‐Briggs, Alan J. Sinclair, Amanda Wood, Gerald Münch and Iain Moppett and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Chris Moran

118 papers receiving 3.2k citations

Hit Papers

Type 2 diabetes and cogni... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chris Moran 1.1k 645 578 557 505 124 3.2k
Ingvild Saltvedt 961 0.9× 791 1.2× 757 1.3× 516 0.9× 789 1.6× 116 3.9k
Farzaneh A. Sorond 395 0.4× 684 1.1× 1.3k 2.3× 1.1k 1.9× 678 1.3× 128 5.2k
Charles Bernick 284 0.3× 413 0.6× 494 0.9× 1.1k 1.9× 565 1.1× 84 2.8k
Marc M. Budge 450 0.4× 884 1.4× 930 1.6× 241 0.4× 1.2k 2.4× 56 4.3k
Lori L. Boland 608 0.6× 2.7k 4.2× 1.3k 2.2× 504 0.9× 383 0.8× 61 5.6k
Robin Conwit 445 0.4× 1.1k 1.6× 1.2k 2.1× 1.8k 3.2× 1.2k 2.4× 116 6.7k
Ismo Räihä 705 0.7× 603 0.9× 883 1.5× 384 0.7× 690 1.4× 89 3.5k
Neeraj Badjatia 497 0.5× 239 0.4× 399 0.7× 1.2k 2.2× 299 0.6× 208 7.1k
Kyle Rudser 546 0.5× 788 1.2× 389 0.7× 306 0.5× 253 0.5× 159 3.9k
Richard Rokyta 872 0.8× 468 0.7× 817 1.4× 261 0.5× 118 0.2× 226 3.2k

Countries citing papers authored by Chris Moran

Since Specialization
Citations

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

Fields of papers citing papers by Chris Moran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Moran

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Moran. A scholar is included among the top collaborators of Chris Moran 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 Chris Moran. Chris Moran 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
2.
Zhou, Zhen, Chris Moran, Anne M. Murray, et al.. (2025). Association of Year-to-Year Lipid Variability With Risk of Cognitive Decline and Dementia in Community-Dwelling Older Adults. Neurology. 104(4). e210247–e210247. 5 indexed citations
3.
Beare, Richard, et al.. (2024). Interactions between muscle volume and body mass index on brain structure in the UK Biobank. SHILAP Revista de lepidopterología. 3. 1456716–1456716. 1 indexed citations
4.
Davidson, Louise, et al.. (2024). Evaluation of a new prehospital major incident triage tool: Informing current UK practice. International Journal of Disaster Risk Reduction. 111. 104740–104740. 1 indexed citations
5.
Zoungas, Sophia, Chris Moran, Andrea J. Curtis, et al.. (2024). Baseline Characteristics of Participants in STAREE: A Randomized Trial for Primary Prevention of Cardiovascular Disease Events and Prolongation of Disability‐Free Survival in Older People. Journal of the American Heart Association. 13(22). e036357–e036357. 4 indexed citations
6.
Tait, Jamie L., Taya Collyer, Seana Gall, et al.. (2024). Associations of midlife fitness and obesity profiles with cognitive function. European Journal of Sport Science. 24(5). 587–596. 1 indexed citations
7.
Andrew, Nadine E., Terry Haines, Keith Hill, et al.. (2024). Multi-Stakeholder Aged Care Research Networks: A Scoping Review. The Gerontologist. 65(3). 1 indexed citations
9.
Vassallo, James, et al.. (2022). New NHS Prehospital Major Incident Triage Tool: from MIMMS to MITT. Emergency Medicine Journal. 39(11). 800–802. 8 indexed citations
10.
Lacy, Mary E., Chris Moran, Paola Gilsanz, et al.. (2022). Comparison of cognitive function in older adults with type 1 diabetes, type 2 diabetes, and no diabetes: results from the Study of Longevity in Diabetes (SOLID). BMJ Open Diabetes Research & Care. 10(2). e002557–e002557. 17 indexed citations
11.
Moran, Chris, Taya Collyer, Richard Beare, et al.. (2022). Associations of Sex, Age, and Cardiometabolic Risk Profiles With Brain Structure and Cognition. Neurology. 99(17). e1853–e1865. 7 indexed citations
13.
Moran, Chris, et al.. (2021). New Horizons—Cognitive Dysfunction Associated With Type 2 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 107(4). 929–942. 10 indexed citations
14.
Srikanth, Velandai, Richard Beare, Monique Breslin, et al.. (2021). The Association Between Physical Activity Intensity, Cognition, and Brain Structure in People With Type 2 Diabetes. The Journals of Gerontology Series A. 76(11). 2047–2053. 14 indexed citations
15.
Moran, Chris, Richard Beare, Amanda Vincent, et al.. (2020). Interactions Between Age, Sex, Menopause, and Brain Structure at Midlife: A UK Biobank Study. The Journal of Clinical Endocrinology & Metabolism. 106(2). 410–420. 35 indexed citations
16.
Wang, Yun, Velandai Srikanth, David A. Snowdon, et al.. (2020). Quantifying the economic benefit of the personal alarm and emergency response system in Australia: a cost analysis of the reduction in ambulance attendances. Australian Health Review. 45(1). 51–58. 3 indexed citations
17.
Moran, Chris, et al.. (2018). Examination of risk scores to better predict hospital‐related harms. Internal Medicine Journal. 49(9). 1125–1131. 8 indexed citations
18.
Callisaya, Michele L., Chris Moran, & Velandai Srikanth. (2013). Type 2 Diabetes Mellitus as a causal factor for dementia - is there sufficient evidence from interventional studies?. eCite Digital Repository (University of Tasmania). 4 indexed citations
19.
Karantana, Alexia, Nicholas Downing, Daren P. Forward, et al.. (2013). Surgical Treatment of Distal Radial Fractures with a Volar Locking Plate Versus Conventional Percutaneous Methods. Journal of Bone and Joint Surgery. 95(19). 1737–1744. 120 indexed citations
20.
Walt, J. H. Van Der & Chris Moran. (2001). An audit of perioperative management of autistic children. Pediatric Anesthesia. 11(4). 401–408. 70 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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