Thomas A. Hardy

2.1k total citations
63 papers, 1.6k citations indexed

About

Thomas A. Hardy is a scholar working on Endocrinology, Diabetes and Metabolism, Oceanography and Surgery. According to data from OpenAlex, Thomas A. Hardy has authored 63 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Endocrinology, Diabetes and Metabolism, 14 papers in Oceanography and 13 papers in Surgery. Recurrent topics in Thomas A. Hardy's work include Diabetes Treatment and Management (19 papers), Diabetes Management and Research (18 papers) and Ocean Waves and Remote Sensing (13 papers). Thomas A. Hardy is often cited by papers focused on Diabetes Treatment and Management (19 papers), Diabetes Management and Research (18 papers) and Ocean Waves and Remote Sensing (13 papers). Thomas A. Hardy collaborates with scholars based in United States, Australia and Italy. Thomas A. Hardy's co-authors include Ian R. Young, Luciano B. Mason, James M. May, Lance Bode, Christof Kazda, Parag Garhyan, Jason McConochie, Andrea De Gaetano, Saeeduddin Ahmed and David Baker and has published in prestigious journals such as Nucleic Acids Research, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

Thomas A. Hardy

59 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas A. Hardy United States 22 611 400 300 255 243 63 1.6k
Kazumi Akimoto Japan 28 395 0.6× 291 0.7× 776 2.6× 82 0.3× 182 0.7× 97 2.2k
Yutaro Suzuki Japan 22 165 0.3× 84 0.2× 205 0.7× 136 0.5× 115 0.5× 128 1.5k
Karen E. Ramsey United States 12 301 0.5× 944 2.4× 49 0.2× 48 0.2× 106 0.4× 27 1.7k
Lawrence P. Sullivan United States 28 112 0.2× 136 0.3× 1.1k 3.8× 122 0.5× 162 0.7× 59 2.3k
Masanori Kaneko Japan 27 203 0.3× 297 0.7× 691 2.3× 36 0.1× 174 0.7× 120 2.6k
Yukiko Nagai Japan 30 1.0k 1.6× 439 1.1× 838 2.8× 244 1.0× 162 0.7× 91 2.7k
Yuanbo Liang China 35 223 0.4× 101 0.3× 384 1.3× 67 0.3× 50 0.2× 217 4.5k
Mats Rundgren Sweden 29 57 0.1× 221 0.6× 345 1.1× 147 0.6× 1.2k 5.1× 133 3.1k
Marek Cieszkowski Poland 22 159 0.3× 438 1.1× 282 0.9× 49 0.2× 141 0.6× 89 1.4k
Guillermo Meléndez Mexico 18 78 0.1× 89 0.2× 195 0.7× 47 0.2× 268 1.1× 99 1.2k

Countries citing papers authored by Thomas A. Hardy

Since Specialization
Citations

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

Fields of papers citing papers by Thomas A. Hardy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas A. Hardy. 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 Thomas A. Hardy. The network helps show where Thomas A. Hardy may publish in the future.

Co-authorship network of co-authors of Thomas A. Hardy

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas A. Hardy. A scholar is included among the top collaborators of Thomas A. Hardy 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 Thomas A. Hardy. Thomas A. Hardy 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.
Bode, Bruce W., Anders L. Carlson, Rong Liu, et al.. (2021). Ultrarapid Lispro Demonstrates Similar Time in Target Range to Lispro with a Hybrid Closed-Loop System. Diabetes Technology & Therapeutics. 23(12). 828–836. 26 indexed citations
2.
3.
Małecki, Maciej T., Dachuang Cao, Rong Liu, et al.. (2020). Ultra-Rapid Lispro Improves Postprandial Glucose Control and Time in Range in Type 1 Diabetes Compared to Lispro: PRONTO-T1D Continuous Glucose Monitoring Substudy. Diabetes Technology & Therapeutics. 22(11). 853–860. 26 indexed citations
4.
Bode, Bruce W., Satish K. Garg, Paul Norwood, et al.. (2020). Compatibility and Safety of Ultra Rapid Lispro with Continuous Subcutaneous Insulin Infusion in Patients with Type 1 Diabetes: PRONTO-Pump Study. Diabetes Technology & Therapeutics. 23(1). 41–50. 24 indexed citations
5.
Gaetano, Andrea De & Thomas A. Hardy. (2019). A novel fast-slow model of diabetes progression: Insights into mechanisms of response to the interventions in the Diabetes Prevention Program. PLoS ONE. 14(10). e0222833–e0222833. 16 indexed citations
6.
Gaetano, Andrea De, Thomas A. Hardy, Benoît Beck, et al.. (2008). Mathematical models of diabetes progression. American Journal of Physiology-Endocrinology and Metabolism. 295(6). E1462–E1479. 75 indexed citations
7.
Riesenberg, Robert, Darcie L. Kurtz, Thomas A. Hardy, et al.. (2006). A double-blind, randomized trial to evaluate the pharmacokinetics and tolerability of 30 or 40 mg/d oral olanzapine relative to 20 mg/d oral olanzapine in stable psychiatric subjects. Clinical Therapeutics. 28(6). 881–892. 19 indexed citations
8.
Hardy, Thomas A., et al.. (2006). Cross-sectional Comparison of Fasting Lipids in Normoglycemic Patients With Schizophrenia During Chronic Treatment With Olanzapine, Risperidone, or Typical Antipsychotics. Journal of Clinical Psychopharmacology. 26(4). 405–408. 15 indexed citations
9.
Ahmed, Saeeduddin, et al.. (2004). The Metabolic Syndrome in Patients With Severe Mental Illnesses. The Primary Care Companion For CNS Disorders. 6(4). 152–158. 80 indexed citations
10.
Mason, Luciano B., et al.. (2003). Issues in the Development of a Lagrangian Sediment Transport Model. eCite Digital Repository (University of Tasmania). 724. 1 indexed citations
11.
Hardy, Thomas A. & James M. May. (2002). Coordinate regulation of L-arginine uptake and nitric oxide synthase activity in cultured endothelial cells. Free Radical Biology and Medicine. 32(2). 122–131. 86 indexed citations
12.
Hardy, Thomas A., Luciano B. Mason, & Jason McConochie. (1999). WAMGBR: Modelling tropical cyclone waves in the GBR. eCite Digital Repository (University of Tasmania).
13.
McConochie, Jason, Luciano B. Mason, & Thomas A. Hardy. (1999). A Coral Sea Cyclone Wind Model Intended for Wave Modelling. eCite Digital Repository (University of Tasmania). 12 indexed citations
14.
Puziss, John W., Thomas A. Hardy, Robert B. Johnson, Peter J. Roach, & Philip Hieter. (1994). MDS1 , a dosage suppressor of an mck1 mutant, encodes a putative yeast homolog of glycogen synthase kinase 3. Molecular and Cellular Biology. 14(1). 831–839. 24 indexed citations
15.
Hardy, Thomas A. & Luciano B. Mason. (1993). Establishing frequency curves for cyclone-induced coastal water levels. eCite Digital Repository (University of Tasmania). 1 indexed citations
16.
Bode, Lance, Luciano B. Mason, & Thomas A. Hardy. (1993). Application of Numerical Modelling to the Prediction of Dredge Plume Movement. 1. 379–384. 1 indexed citations
17.
Hardy, Thomas A. & Nicholas C. Kraus. (1989). Coupling Stokes and Cnoidal Wave Theories in a Nonlinear Refraction Model. 1. 588–601.
18.
Kraus, Nicholas C., Mary A. Cialone, & Thomas A. Hardy. (1987). Discussion of "Numerical Study of Finite Amplitude Wave Refraction". 113(2). 199–201. 1 indexed citations
19.
Hardy, Thomas A. & Nicholas C. Kraus. (1986). A Numerical Model for Shoaling and Refraction of Second-Order Cnoidal Waves Over an Irregular Bottom.. US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core). 9 indexed citations
20.

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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