David Baird

2.7k total citations
12 papers, 267 citations indexed

About

David Baird is a scholar working on Nephrology, Pulmonary and Respiratory Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, David Baird has authored 12 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nephrology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in David Baird's work include Birth, Development, and Health (3 papers), Acute Kidney Injury Research (3 papers) and Chronic Kidney Disease and Diabetes (3 papers). David Baird is often cited by papers focused on Birth, Development, and Health (3 papers), Acute Kidney Injury Research (3 papers) and Chronic Kidney Disease and Diabetes (3 papers). David Baird collaborates with scholars based in United Kingdom, Germany and United States. David Baird's co-authors include David A. Ferenbach, Jeremy Hughes, Eoin O’Sullivan, Katie J. Mylonas, Roland Schmitt, Sofía Ferreira-González, Stuart J. Forbes, Duncan C. Humphries, Paul Krimpenfort and Anette Melk and has published in prestigious journals such as Journal of the American Society of Nephrology, BMJ and Science Translational Medicine.

In The Last Decade

David Baird

11 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Baird United Kingdom	6	89	79	73	48	35	12	267
Martina Gaggl Austria	10	72 0.8×	45 0.6×	116 1.6×	103 2.1×	12 0.3×	39	316
А. В. Смирнов Russia	7	40 0.4×	54 0.7×	74 1.0×	34 0.7×	15 0.4×	96	236
Bashira A. Charles United States	7	38 0.4×	74 0.9×	60 0.8×	26 0.5×	40 1.1×	8	299
Dihua Zhang China	8	40 0.4×	100 1.3×	162 2.2×	28 0.6×	17 0.5×	16	348
P. Puerstner Austria	8	52 0.6×	89 1.1×	48 0.7×	30 0.6×	62 1.8×	9	325
C Day United Kingdom	6	44 0.5×	56 0.7×	87 1.2×	30 0.6×	29 0.8×	13	260
René Frydensbjerg Andersen Denmark	11	54 0.6×	124 1.6×	189 2.6×	18 0.4×	16 0.5×	19	315
Oded Volovelsky Israel	11	41 0.5×	94 1.2×	83 1.1×	8 0.2×	57 1.6×	21	294
Maxime Hoffmann France	8	43 0.5×	87 1.1×	83 1.1×	28 0.6×	11 0.3×	11	220

Countries citing papers authored by David Baird

Since Specialization

Citations

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

Fields of papers citing papers by David Baird

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Baird

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

All Works

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12 of 12 papers shown

Baird, David, Marie-Helena Docherty, Thomas G. Mason, et al.. (2025). Urinary Clusterin is a Biomarker of Renal Epithelial Senescence and Predicts Human Kidney Disease Progression. Kidney International Reports. 10(7). 2344–2356. 2 indexed citations

Baird, David & David A. Ferenbach. (2025). Toward Noninvasive Biomarkers of Renal Senescence. Journal of the American Society of Nephrology. 36(7). 1439–1441.

O’Sullivan, Eoin, Katie J. Mylonas, Rachel Bell, et al.. (2022). Single-cell analysis of senescent epithelia reveals targetable mechanisms promoting fibrosis. JCI Insight. 7(22). 21 indexed citations

Mylonas, Katie J., Eoin O’Sullivan, Duncan C. Humphries, et al.. (2021). Cellular senescence inhibits renal regeneration after injury in mice, with senolytic treatment promoting repair. Science Translational Medicine. 13(594). 130 indexed citations

Baird, David, et al.. (2020). Transplant Renal Artery Stenosis. Kidney International Reports. 5(12). 2399–2402. 8 indexed citations

Baird, David, et al.. (2020). Cellular Senescence and Senotherapies in the Kidney: Current Evidence and Future Directions. Frontiers in Pharmacology. 11. 755–755. 43 indexed citations

Baird, David, et al.. (2020). Impact of electronic alerts for acute kidney injury on patient outcomes: interrupted time-series analysis of population cohort data. Clinical Kidney Journal. 14(2). 639–646. 3 indexed citations

Baird, David, et al.. (2019). Introducing an AKI predictive tool for patients undergoing orthopaedic surgery. BMJ Open Quality. 8(1). e000306–e000306. 4 indexed citations

Davey, Peter, et al.. (2019). Assessing the accuracy of ICD-10 coding for measuring rates of and mortality from acute kidney injury and the impact of electronic alerts: an observational cohort study. Clinical Kidney Journal. 13(6). 1083–1090. 33 indexed citations

10.

Baird, David, et al.. (2019). FO076ICD-10 CODING - AN UNRELIABLE INDICATOR FOR ACUTE KIDNEY INJURY RATES AND OUTCOMES IN HOSPITAL IN-PATIENTS. Nephrology Dialysis Transplantation. 34(Supplement_1). 1 indexed citations

11.

Baird, David, et al.. (2015). Hyperkalaemia on the surgical ward. BMJ. 351. h5531–h5531. 1 indexed citations

12.

Carty, David, Lesley Anderson, David Baird, et al.. (2011). Peripheral arterial tone. Journal of Hypertension. 30(1). 117–123. 21 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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