David Rodbard

35.4k total citations · 11 hit papers
241 papers, 26.8k citations indexed

About

David Rodbard is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience. According to data from OpenAlex, David Rodbard has authored 241 papers receiving a total of 26.8k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 70 papers in Endocrinology, Diabetes and Metabolism and 35 papers in Cellular and Molecular Neuroscience. Recurrent topics in David Rodbard's work include Diabetes Management and Research (48 papers), Receptor Mechanisms and Signaling (35 papers) and Neuropeptides and Animal Physiology (25 papers). David Rodbard is often cited by papers focused on Diabetes Management and Research (48 papers), Receptor Mechanisms and Signaling (35 papers) and Neuropeptides and Animal Physiology (25 papers). David Rodbard collaborates with scholars based in United States, Cameroon and Hungary. David Rodbard's co-authors include Peter J. Munson, Andreas Chrambach, André DeLÉAN, BRUCE C. NISULA, James F. Dunn, P.L. Rayford, Tommaso Costa, Vincenzo Guardabasso, G. T. ROSS and William E. Bridson and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

David Rodbard

238 papers receiving 25.1k citations

Hit Papers

LIGAND: A versatile compu... 1970 2026 1988 2007 1980 1978 1981 1974 1971 2.5k 5.0k 7.5k
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.

  1. LIGAND: A versatile computerized approach for characterization of ligand-binding systems
    1980 8.1k citations Peter J. Munson, David Rodbard profile →
  2. Simultaneous analysis of families of sigmoidal curves: application to bioassay, radioligand assay, and physiological dose-response curves.
    1978 2.3k citations Peter J. Munson, David Rodbard et al. profile →
  3. Transport of Steroid Hormones: Binding of 21 Endogenous Steroids to Both Testosterone-Binding Globulin and Corticosteroid-Binding Globulin in Human Plasma
    1981 969 citations David Rodbard et al. profile →
  4. Statistical Quality Control and Routine Data Processing for Radioimmunoassays and Immunoradiometric Assays
    1974 939 citations David Rodbard profile →
  5. Estimation of molecular radius, free mobility, and valence using polyacrylamide gel electrophoresis
    1971 662 citations David Rodbard et al. profile →
  6. Polyacrylamide Gel Electrophoresis
    1971 644 citations David Rodbard et al. profile →
  7. COMPUTER ANALYSIS OF RADIOLIGAND ASSAY AND RADIOIMMUNOASSAY DATA
    1970 565 citations David Rodbard et al. profile →
  8. Continuous Glucose Monitoring: A Review of Successes, Challenges, and Opportunities
    2016 532 citations David Rodbard Diabetes Technology & Therapeutics profile →
  9. The Relationships Between Time in Range, Hyperglycemia Metrics, and HbA1c
    2019 324 citations Roy W. Beck, Richard M. Bergenstal et al. Journal of Diabetes Science and Technology profile →
  10. Continuous Glucose Monitoring: A Review of Recent Studies Demonstrating Improved Glycemic Outcomes
    2017 313 citations David Rodbard Diabetes Technology & Therapeutics profile →
  11. American Association of Clinical Endocrinology Clinical Practice Guideline: The Use of Advanced Technology in the Management of Persons With Diabetes Mellitus
    2021 179 citations Thomas Blevins, David Rodbard et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Rodbard 11.6k 6.8k 5.8k 3.3k 2.5k 241 26.8k
Pedro Cuatrecasas 23.0k 2.0× 3.2k 0.5× 6.6k 1.1× 2.7k 0.8× 3.8k 1.5× 362 35.6k
Anthony R. Means 23.7k 2.0× 2.0k 0.3× 3.6k 0.6× 3.8k 1.1× 2.3k 0.9× 379 33.9k
Michael Bäder 15.4k 1.3× 7.3k 1.1× 5.4k 0.9× 2.2k 0.7× 3.7k 1.5× 857 39.1k
Oliver Smithies 26.5k 2.3× 5.5k 0.8× 2.4k 0.4× 11.4k 3.5× 2.8k 1.1× 331 55.5k
John A. Cidlowski 14.0k 1.2× 6.1k 0.9× 2.1k 0.4× 7.2k 2.2× 1.8k 0.8× 376 35.2k
Rosalyn S. Yalow 5.3k 0.5× 4.8k 0.7× 2.7k 0.5× 1.9k 0.6× 3.7k 1.5× 255 16.3k
Jesse Roth 14.3k 1.2× 9.1k 1.3× 2.5k 0.4× 3.5k 1.0× 7.0k 2.8× 301 29.1k
Peter J. Munson 11.8k 1.0× 1.8k 0.3× 5.2k 0.9× 1.8k 0.5× 1.0k 0.4× 181 20.5k
Howard R. Morris 15.0k 1.3× 1.0k 0.1× 5.8k 1.0× 1.8k 0.6× 1.7k 0.7× 338 27.0k
Larry A. Sklar 10.5k 0.9× 1.8k 0.3× 1.5k 0.3× 4.0k 1.2× 766 0.3× 319 19.1k

Countries citing papers authored by David Rodbard

Since Specialization
Citations

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

Fields of papers citing papers by David Rodbard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Rodbard

This figure shows the co-authorship network connecting the top 25 collaborators of David Rodbard. A scholar is included among the top collaborators of David Rodbard 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 Rodbard. David Rodbard 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.
Wolpert, Howard, David Rodbard, Jie Xue, Jennal Johnson, & Eyal Dassau. (2025). Characterizing insulin dosing behaviour and glycaemic excursions: Development of metrics using connected insulin pen and continuous glucose monitoring. Diabetes Obesity and Metabolism. 27(5). 2507–2514.
2.
3.
Steenkamp, Devin, et al.. (2023). Proof-of-concept Application of Continuous Glucose Monitoring Data Analytics to Identify Diabetes Glucotypes. Journal of the Endocrine Society. 7(5). bvad038–bvad038. 2 indexed citations
4.
Garg, Satish K., David Rodbard, Irl B. Hirsch, & Gregory P. Forlenza. (2020). Managing New-Onset Type 1 Diabetes During the COVID-19 Pandemic: Challenges and Opportunities. Diabetes Technology & Therapeutics. 22(6). 431–439. 123 indexed citations
5.
Blevins, Thomas, Wendy Lane, David Rodbard, et al.. (2020). Glucose Variability and Time in Range in Type 2 Diabetes Treated with U-500R by Pump or Injection: CGM Findings from the VIVID Study. Diabetes Technology & Therapeutics. 23(1). 51–58. 8 indexed citations
6.
Rodbard, David. (2020). The Ambulatory Glucose Profile: Opportunities for Enhancement. Diabetes Technology & Therapeutics. 23(5). 332–341. 12 indexed citations
7.
Beck, Roy W., Richard M. Bergenstal, Peiyao Cheng, et al.. (2019). The Relationships Between Time in Range, Hyperglycemia Metrics, and HbA1c. Journal of Diabetes Science and Technology. 13(4). 614–626. 324 indexed citations breakdown →
8.
9.
Osborn, Chandra Y., et al.. (2017). One Drop | Mobile: An Evaluation of Hemoglobin A1c Improvement Linked to App Engagement. JMIR Diabetes. 2(2). e21–e21. 36 indexed citations
10.
Osborn, Chandra Y., et al.. (2017). One Drop | Mobile on iPhone and Apple Watch: An Evaluation of HbA1c Improvement Associated With Tracking Self-Care. JMIR mhealth and uhealth. 5(11). e179–e179. 23 indexed citations
11.
12.
Rodbard, David, Lois Jovanovič, & Satish K. Garg. (2009). Responses to Continuous Glucose Monitoring in Subjects with Type 1 Diabetes Using Continuous Subcutaneous Insulin Infusion or Multiple Daily Injections. Diabetes Technology & Therapeutics. 11(12). 757–765. 24 indexed citations
13.
Genazzani, Alessandro D., et al.. (1990). ESTIMATION OF INSTANTANEOUS SECRETORY RATE OF LUTEINIZING HORMONE IN WOMEN DURING THE MENSTRUAL CYCLE AND IN MEN. Clinical Endocrinology. 32(5). 573–582. 32 indexed citations
14.
Berger, Markus, et al.. (1988). Computer Programs to Assist the Physician in the Analysis of Self-Monitored Blood Glucose Data. PubMed Central. 52–57. 3 indexed citations
15.
Munson, Peter J. & David Rodbard. (1988). An Exact Correction to the “Cheng-Prusoff” Correction. Journal of Receptor Research. 8(1-4). 533–546. 93 indexed citations
16.
Rodbard, David, et al.. (1985). A Personal-Computer-Based System for Acquisition and Analysis of Radioimmunoassay Data.. PubMed Central. 455–459. 1 indexed citations
17.
Rodbard, David, et al.. (1984). A Data Management Program to Assist with Home Monitoring of Blood Glucose and Self Adjustment of Insulin Dosage for Patients with Diabetes Mellitus and Their Physicians. PubMed Central. 321–324. 5 indexed citations
18.
Rodbard, David, et al.. (1979). Computer modeling of several ligands binding to multiple receptors.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 105(6). 1377–81. 36 indexed citations
19.
Rodbard, David, et al.. (1979). Multi-subsite receptors for multivalent ligands. Application to drugs, hormones, and neurotransmitters.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 15(1). 60–70. 56 indexed citations
20.
Fa, Greco, et al.. (1976). Noninvasive monitoring of adriamycin cardiotoxicity by "Sphygmo-Recording" of the pulse wave delay (QKd interval).. PubMed. 60(9). 1239–45. 6 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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