Daniel T. Holmes

3.4k total citations
117 papers, 1.9k citations indexed

About

Daniel T. Holmes is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel T. Holmes has authored 117 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Endocrinology, Diabetes and Metabolism, 29 papers in Surgery and 18 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel T. Holmes's work include Hormonal Regulation and Hypertension (23 papers), Adrenal and Paraganglionic Tumors (12 papers) and Hormonal and reproductive studies (10 papers). Daniel T. Holmes is often cited by papers focused on Hormonal Regulation and Hypertension (23 papers), Adrenal and Paraganglionic Tumors (12 papers) and Hormonal and reproductive studies (10 papers). Daniel T. Holmes collaborates with scholars based in Canada, United States and Belgium. Daniel T. Holmes's co-authors include J. Grace van der Gugten, Kevin A. Buhr, Jiří Fröhlich, Christoph H. Borchers, Dynesha Mason, Karin H. Humphries, Sam M. Wiseman, Étienne Cavalier, Joshua E. Raizman and James McCormack and has published in prestigious journals such as Angewandte Chemie International Edition, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel T. Holmes

112 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel T. Holmes Canada 27 682 481 314 251 187 117 1.9k
Maureen Sampson United States 27 778 1.1× 1.0k 2.2× 548 1.7× 338 1.3× 150 0.8× 93 2.8k
Ling Qiu China 27 603 0.9× 301 0.6× 886 2.8× 158 0.6× 316 1.7× 204 2.8k
Emi Kimoto United States 33 191 0.3× 210 0.4× 378 1.2× 224 0.9× 332 1.8× 67 2.9k
Yvonne S. Lin United States 32 385 0.6× 270 0.6× 849 2.7× 99 0.4× 110 0.6× 65 4.0k
Richard A. Robson New Zealand 29 323 0.5× 513 1.1× 480 1.5× 225 0.9× 348 1.9× 87 2.8k
Hans‐Ulrich Häring Germany 27 692 1.0× 321 0.7× 1.2k 3.8× 261 1.0× 78 0.4× 46 2.8k
Alexander Leichtle Switzerland 32 370 0.5× 335 0.7× 1.1k 3.5× 209 0.8× 308 1.6× 111 3.2k
James M. Luther United States 31 1.2k 1.7× 595 1.2× 757 2.4× 556 2.2× 146 0.8× 71 2.7k
Brad S. Karon United States 23 354 0.5× 241 0.5× 336 1.1× 298 1.2× 172 0.9× 96 1.7k
Roberto Padrini Italy 27 275 0.4× 343 0.7× 402 1.3× 503 2.0× 141 0.8× 104 2.7k

Countries citing papers authored by Daniel T. Holmes

Since Specialization
Citations

This map shows the geographic impact of Daniel T. 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 Daniel T. Holmes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Holmes more than expected).

Fields of papers citing papers by Daniel T. Holmes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel T. Holmes

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel T. Holmes. A scholar is included among the top collaborators of Daniel T. 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 Daniel T. Holmes. Daniel T. 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.
Patel, Khushbu, et al.. (2025). Robotic Process Automation in Laboratory Medicine. Clinical Chemistry. 71(6). 624–628. 1 indexed citations
3.
Omondi, F. Harrison, Natalie N. Kinloch, Hope R. Lapointe, et al.. (2024). Effects of COVID-19 mRNA vaccination on HIV viremia and reservoir size. AIDS. 38(8). 1120–1130. 4 indexed citations
4.
Chik, Constance L., et al.. (2024). 12200 Impact Of Strict IGF-1 Control (I-Con) On Quality Of Life Scores In Patients With Acromegaly. Journal of the Endocrine Society. 8(Supplement_1).
5.
Holmes, Daniel T., Mark Canney, Ognjenka Djurdjev, et al.. (2024). Assessing Discharge Communication and Follow-up of Acute Kidney Injury in British Columbia: A Retrospective Chart Review. Canadian Journal of Kidney Health and Disease. 11. 1035177264–1035177264. 2 indexed citations
6.
Kline, Gregory & Daniel T. Holmes. (2023). Bone turnover markers for assessment of anti-resorptive effect in clinical practice: A good idea meets the problem of measurement uncertainty. Clinical Biochemistry. 116. 100–104. 1 indexed citations
7.
Cooper, Jennifer, et al.. (2023). Age specific reference intervals for plasma biomarkers of neurodegeneration and neurotrauma in a Canadian population. Clinical Biochemistry. 121-122. 110680–110680. 19 indexed citations
8.
Mobini, Mahdi, Nancy Matic, J. Grace van der Gugten, et al.. (2023). End-to-End Data Automation for Pooled Sample SARS-CoV-2 Using R and Other Open-Source Tools. The Journal of Applied Laboratory Medicine. 8(1). 41–52.
9.
Nguyen, Anne, et al.. (2023). Lithium related thyroid and parathyroid disease: Updated clinical practice guidelines are needed. Journal of Affective Disorders. 339. 471–477. 2 indexed citations
10.
Gugten, J. Grace van der & Daniel T. Holmes. (2022). Quantitation of Renin Activity in Plasma Using Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS). Methods in molecular biology. 2546. 439–450. 2 indexed citations
11.
McCormack, James & Daniel T. Holmes. (2020). Your results may vary: the imprecision of medical measurements. BMJ. 368. m149–m149. 27 indexed citations
12.
Kline, Gregory, et al.. (2018). Surprisingly low aldosterone levels in peripheral veins following intravenous sedation during adrenal vein sampling. Journal of Hypertension. 37(3). 596–602. 19 indexed citations
13.
French, Deborah, et al.. (2018). Comparison of four clinically validated testosterone LC-MS/MS assays: Harmonization is an attainable goal. PubMed. 11. 12–20. 20 indexed citations
14.
Bahar, Burak, et al.. (2017). An interactive website for analytical method comparison and bias estimation. Clinical Biochemistry. 50(18). 1025–1029. 24 indexed citations
15.
Taves, Matthew D., Adam W. Plumb, J. Grace van der Gugten, et al.. (2016). Lymphoid organs of neonatal and adult mice preferentially produce active glucocorticoids from metabolites, not precursors. Brain Behavior and Immunity. 57. 271–281. 23 indexed citations
16.
Vráblík, Michal, et al.. (2014). Use of ezetimibe results in more patients reaching lipid targets without side effects. Cor et Vasa. 56(2). e128–e132. 3 indexed citations
17.
Kroeger, Paul, et al.. (2013). Laboratory confirmation of Amanita smithiana mushroom poisoning. Clinical Toxicology. 51(4). 249–251. 14 indexed citations
18.
Holmes, Daniel T., et al.. (2013). Recurrent Hypoglycemia from Insulin Autoimmune Syndrome. Journal of General Internal Medicine. 29(1). 250–254. 56 indexed citations
19.
Gugten, J. Grace van der, et al.. (2012). Supported liquid extraction offers improved sample preparation for aldosterone analysis by liquid chromatography tandem mass spectrometry. Journal of Clinical Pathology. 65(11). 1045–1048. 25 indexed citations
20.
Hung, Tawny, Christopher R. DeWitt, W. Martz, William E. Schreiber, & Daniel T. Holmes. (2010). Fomepizole fails to prevent progression of acidosis in 2-butoxyethanol and ethanol coingestion. Clinical Toxicology. 48(6). 569–571. 5 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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