David S. Gibson

3.0k total citations · 1 hit paper
54 papers, 2.2k citations indexed

About

David S. Gibson is a scholar working on Rheumatology, Molecular Biology and Hematology. According to data from OpenAlex, David S. Gibson has authored 54 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Rheumatology, 18 papers in Molecular Biology and 15 papers in Hematology. Recurrent topics in David S. Gibson's work include Rheumatoid Arthritis Research and Therapies (16 papers), Autoimmune and Inflammatory Disorders Research (13 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). David S. Gibson is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (16 papers), Autoimmune and Inflammatory Disorders Research (13 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). David S. Gibson collaborates with scholars based in United Kingdom, United States and Ireland. David S. Gibson's co-authors include Victoria McGilligan, H. Denis Alexander, Irene Maeve Rea, Susan McNerlan, Owen A. Ross, Madeleine Rooney, Amanda Eakin, Melody Chemaly, Michael McAllister and Vidal F. de la Cruz and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Scientific Reports and American Journal Of Pathology.

In The Last Decade

David S. Gibson

52 papers receiving 2.1k 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.

Age and Age-Related Diseases: Role of Inflammation Triggers and Cytokines

2018 893 citations David S. Gibson, Victoria McGilligan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David S. Gibson United Kingdom	21	718	422	371	280	227	54	2.2k
Masao Takemura Japan	28	650 0.9×	501 1.2×	273 0.7×	298 1.1×	324 1.4×	107	2.6k
Kazuhiko Arima Japan	29	820 1.1×	516 1.2×	787 2.1×	318 1.1×	316 1.4×	175	2.8k
Seong‐Kyu Kim South Korea	29	651 0.9×	384 0.9×	960 2.6×	217 0.8×	262 1.2×	140	2.5k
Keiko Suzuki Japan	25	808 1.1×	301 0.7×	458 1.2×	198 0.7×	295 1.3×	191	2.7k
Cheng Jin China	33	1.0k 1.4×	377 0.9×	236 0.6×	245 0.9×	565 2.5×	102	3.8k
Luca Semerano France	26	467 0.7×	853 2.0×	743 2.0×	212 0.8×	228 1.0×	78	2.3k
Michael Yaron Israel	28	390 0.5×	396 0.9×	809 2.2×	268 1.0×	230 1.0×	61	2.3k
Attila J. Szabó Hungary	33	884 1.2×	700 1.7×	183 0.5×	326 1.2×	414 1.8×	202	3.7k
Shaye Kivity Israel	32	793 1.1×	800 1.9×	820 2.2×	443 1.6×	555 2.4×	107	4.0k
Jean-Paul Chapelle Belgium	25	783 1.1×	282 0.7×	137 0.4×	145 0.5×	305 1.3×	88	2.4k

Countries citing papers authored by David S. Gibson

Since Specialization

Citations

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

Fields of papers citing papers by David S. Gibson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Gibson. 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 David S. Gibson. The network helps show where David S. Gibson may publish in the future.

Co-authorship network of co-authors of David S. Gibson

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Gibson. A scholar is included among the top collaborators of David S. Gibson 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 David S. Gibson. David S. Gibson 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

Watterson, Steven, Andrew English, Ying Kuan, et al.. (2025). Sendotypes predict worsening renal function in chronic kidney disease patients. Clinical and Translational Medicine. 15(4). e70279–e70279.

Alexander, H. Denis, et al.. (2024). Anti-inflammatory effects of phytocannabinoids and terpenes on inflamed Tregs and Th17 cells in vitro. Experimental and Molecular Pathology. 139. 104924–104924. 4 indexed citations

McLaughlin, Joseph K., Victoria McGilligan, Steven Watterson, et al.. (2024). Potential Plasma Proteins (LGALS9, LAMP3, PRSS8 and AGRN) as Predictors of Hospitalisation Risk in COVID-19 Patients. Biomolecules. 14(9). 1163–1163. 2 indexed citations

English, Andrew, Joseph McLaughlin, Martin Kelly, et al.. (2023). Genomic, Proteomic, and Phenotypic Biomarkers of COVID-19 Severity: Protocol for a Retrospective Observational Study. JMIR Research Protocols. 13. e50733–e50733. 3 indexed citations

McDonald, Stephen, et al.. (2023). An AI Approach to Identifying Novel Therapeutics for Rheumatoid Arthritis. Journal of Personalized Medicine. 13(12). 1633–1633. 4 indexed citations

Druce, Katie L., David S. Gibson, Belay Birlie Yimer, et al.. (2022). Remote sampling of biomarkers of inflammation with linked patient generated health data in patients with rheumatic and musculoskeletal diseases: an Ecological Momentary Assessment feasibility study. BMC Musculoskeletal Disorders. 23(1). 770–770. 1 indexed citations

Bucholc, Magda, Declan Bradley, Damien Bennett, et al.. (2022). Identifying pre-existing conditions and multimorbidity patterns associated with in-hospital mortality in patients with COVID-19. Scientific Reports. 12(1). 17313–17313. 17 indexed citations

Eakin, Amanda, Philip Gardiner, Adrian Pendleton, et al.. (2022). ATRPred: A machine learning based tool for clinical decision making of anti-TNF treatment in rheumatoid arthritis patients. PLoS Computational Biology. 18(7). e1010204–e1010204. 16 indexed citations

Winton, Valerie J., Rafael D. Melani, Lissa C. Anderson, et al.. (2020). Development of novel methods for non-canonical myeloma protein analysis with an innovative adaptation of immunofixation electrophoresis, native top-down mass spectrometry, and middle-down de novo sequencing. Clinical Chemistry and Laboratory Medicine (CCLM). 59(4). 653–661. 5 indexed citations

10.

Shukla, Priyank, et al.. (2020). Assessment of a dried blood spot C-reactive protein method to identify disease flares in rheumatoid arthritis patients. Scientific Reports. 10(1). 21089–21089. 10 indexed citations

11.

Shyamsundar, Murali, Daniel F. McAuley, Rebecca J. Ingram, et al.. (2014). Keratinocyte Growth Factor Promotes Epithelial Survival and Resolution in a Human Model of Lung Injury. American Journal of Respiratory and Critical Care Medicine. 189(12). 1520–1529. 85 indexed citations

12.

Gibson, David S., et al.. (2014). Current and future trends in biomarker discovery and development of companion diagnostics for arthritis. Expert Review of Molecular Diagnostics. 15(2). 219–234. 14 indexed citations

13.

Gibson, David S., et al.. (2012). Circulating and synovial antibody profiling of juvenile arthritis patients by nucleic acid programmable protein arrays. Arthritis Research & Therapy. 14(2). R77–R77. 32 indexed citations

14.

Gibson, David S., Madeleine Rooney, Ji Qiu, et al.. (2011). Biomarkers in rheumatology, now and in the future. Lara D. Veeken. 51(3). 423–433. 30 indexed citations

15.

Chauhan, Anil, David S. Gibson, Mengmeng Zhu, et al.. (2009). Proteomic analysis of circulating immune complexes in juvenile idiopathic arthritis reveals disease‐associated proteins. PROTEOMICS - CLINICAL APPLICATIONS. 3(7). 829–840. 18 indexed citations

16.

Gibson, David S., Caitríona Scaife, Catherine McAllister, et al.. (2009). Comparative analysis of synovial fluid and plasma proteomes in juvenile arthritis – Proteomic patterns of joint inflammation in early stage disease. Journal of Proteomics. 72(4). 656–676. 24 indexed citations

17.

Clarke, Susan, et al.. (2008). Paediatric and Adolescent Rheumatology [83-92]. Lara D. Veeken. 47(Supplement 2). ii26–ii28. 1 indexed citations

18.

Gibson, David S. & Madeleine Rooney. (2007). The human synovial fluid proteome: A key factor in the pathology of joint disease. PROTEOMICS - CLINICAL APPLICATIONS. 1(8). 889–899. 29 indexed citations

19.

McAllister, Catherine, et al.. (2006). Juvenile idiopathic arthritis: Joint destruction vs joint repair. Clinical and histological findings in early untreated disease.. Research Portal (Queen's University Belfast). 54. 1 indexed citations

20.

Farrell, Stephen W., C. McMaster, David S. Gibson, Michael D. Shields, & W A McCallion. (2006). Pepsin in bronchoalveolar lavage fluid: a specific and sensitive method of diagnosing gastro-oesophageal reflux–related pulmonary aspiration. Journal of Pediatric Surgery. 41(2). 289–293. 101 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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