Chris Holmes

2.5k total citations
25 papers, 578 citations indexed

About

Chris Holmes is a scholar working on Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Chris Holmes has authored 25 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 5 papers in Molecular Biology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Chris Holmes's work include Cardiac, Anesthesia and Surgical Outcomes (5 papers), Alzheimer's disease research and treatments (2 papers) and Computational Drug Discovery Methods (2 papers). Chris Holmes is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (5 papers), Alzheimer's disease research and treatments (2 papers) and Computational Drug Discovery Methods (2 papers). Chris Holmes collaborates with scholars based in United Kingdom, Ireland and Canada. Chris Holmes's co-authors include William M. Thurlbeck, Minna Tanner, Michael Balls, Bryan Kolb, Ian Q. Whishaw, S.D. Wainwright, Umberto Benedetto, A. G. MacIver, P A Judson and Arnaldo Dimagli and has published in prestigious journals such as Journal of Personality and Social Psychology, American Journal of Psychiatry and Biochemical Journal.

In The Last Decade

Chris Holmes

23 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Holmes United Kingdom 13 144 120 93 77 72 25 578
Günter Schumann United States 16 98 0.7× 167 1.4× 93 1.0× 80 1.0× 44 0.6× 49 945
Jürgen Brunner Germany 17 117 0.8× 213 1.8× 154 1.7× 78 1.0× 98 1.4× 61 982
Trevor Richter Canada 15 57 0.4× 175 1.5× 63 0.7× 40 0.5× 15 0.2× 25 938
Justin Davis United States 14 54 0.4× 118 1.0× 87 0.9× 57 0.7× 13 0.2× 26 762
Raffaella Zannolli Italy 18 276 1.9× 332 2.8× 41 0.4× 94 1.2× 15 0.2× 46 1.3k
Zoreh Davanipour United States 20 252 1.8× 322 2.7× 80 0.9× 23 0.3× 13 0.2× 34 1.3k
Yung‐Ting Kuo Taiwan 17 92 0.6× 189 1.6× 36 0.4× 40 0.5× 16 0.2× 46 792
Falko H. Herrmann Germany 17 40 0.3× 170 1.4× 123 1.3× 86 1.1× 436 6.1× 43 1.1k
Elizabeth Cox United States 12 78 0.5× 62 0.5× 62 0.7× 36 0.5× 21 0.3× 36 512
Andrew Brown United States 13 165 1.1× 180 1.5× 18 0.2× 38 0.5× 24 0.3× 32 1.4k

Countries citing papers authored by Chris Holmes

Since Specialization
Citations

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

Fields of papers citing papers by Chris Holmes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Holmes

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Holmes. A scholar is included among the top collaborators of Chris Holmes 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 Holmes. Chris Holmes 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.
2.
Ades, Steven, et al.. (2024). Venous thromboembolism prevention program implementation in a community oncology practice: a cohort study. The Lancet Regional Health - Americas. 38. 100866–100866. 3 indexed citations
3.
Sinha, Shubhra, Tim Dong, Arnaldo Dimagli, et al.. (2023). Comparison of machine learning techniques in prediction of mortality following cardiac surgery: analysis of over 220 000 patients from a large national database. European Journal of Cardio-Thoracic Surgery. 63(6). 17 indexed citations
4.
Holmes, Chris, et al.. (2021). A case series of paediatric patients with spinal muscular atrophy type I undergoing scoliosis correction surgery. Anaesthesia Reports. 9(2). e12138–e12138. 5 indexed citations
5.
Benedetto, Umberto, Arnaldo Dimagli, Shubhra Sinha, et al.. (2020). Machine learning improves mortality risk prediction after cardiac surgery: Systematic review and meta-analysis. Journal of Thoracic and Cardiovascular Surgery. 163(6). 2075–2087.e9. 65 indexed citations
6.
Barr, David, et al.. (2019). Saving sevoflurane: Automated gas control can reduce consumption of anesthetic vapor by one‐third in pediatric anesthesia. Pediatric Anesthesia. 29(4). 310–314. 6 indexed citations
7.
Mahmoud, Ahmed Abdelaal Ahmed, et al.. (2019). Participation of the hospitals in the Republic of Ireland in international research over more than a decade: a bibliometric analysis. Irish Journal of Medical Science (1971 -). 189(1). 51–69. 4 indexed citations
8.
Holmes, Chris, et al.. (2019). Research Output from the Irish Paediatric Hospitals in the Field of Anaesthesia and Intensive Care Over 10 Years: A Bibliometric Analysis. Turkish Journal of Anaesthesiology and Reanimation. 48(3). 223–228. 2 indexed citations
9.
Holmes, Chris, et al.. (2015). Avoidable perioperative mortality at the University Teaching Hospital, Lusaka, Zambia: a retrospective cohort study. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 62(12). 1259–1267. 19 indexed citations
10.
Robbe, Pauline, Adele Timbs, Adam Burns, et al.. (2013). COMPREHENSIVE GENOME-WIDE ANALYSIS OF CLL SAMPLES FROM UK 1ST LINE AND RELAPSED/REFRACTORY CLINICAL TRIALS. Haematologica. 98. 241–241.
11.
Holmes, Chris, et al.. (2006). Views of child psychiatrists on physical contact with patients. The British Journal of Psychiatry. 188(5). 486–487. 1 indexed citations
12.
Walker, Jenny, Judy J. Watson, Chris Holmes, Aleksander Edelman, & George Banting. (1995). Production and characterisation of monoclonal and polyclonal antibodies to different regions of the cystic fibrosis transmembrane conductance regulator (cftr): Detection of immunologically related proteins. Journal of Cell Science. 108(6). 2433–2444. 32 indexed citations
13.
Procter, Andrew, Paul T. Francis, Chris Holmes, et al.. (1994). ?-Amyloid precursor protein isoforms show correlations with neurones but not with glia of demented subjects. Acta Neuropathologica. 88(6). 545–552. 9 indexed citations
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16.
Kolb, Bryan, Chris Holmes, & Ian Q. Whishaw. (1987). Recovery from early cortical lesions in rats. III. Neonatal removal of posterior parietal cortex has greater behavioral and anatomical effects than similar removals in adulthood. Behavioural Brain Research. 26(2-3). 119–137. 67 indexed citations
17.
Holmes, Chris, et al.. (1978). Toward the Measurement of Primary Care. The Milbank Memorial Fund Quarterly Health and Society. 56(2). 231–231. 17 indexed citations
18.
Holmes, Chris & Michael Balls. (1977). Glycogenolysis in amphibian liver organ cultures: Effects of isoprenaline, cyclic-AMP, calcium, and the ionophores A23187 and Br-X537A. Cell Biology International Reports. 1(2). 185–191. 2 indexed citations
19.
Lefcourt, Herbert M., et al.. (1975). Causal attributions as a function of locus of control, initial confidence, and performance outcomes.. Journal of Personality and Social Psychology. 32(3). 391–397. 32 indexed citations
20.
Holmes, Chris. (1967). A Somatic Interpretation of the Psychiatry of Benjamin Rush. American Journal of Psychiatry. 124(6). 825–831. 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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