Daniel A. Finan

793 total citations · 1 hit paper
24 papers, 556 citations indexed

About

Daniel A. Finan is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Daniel A. Finan has authored 24 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Endocrinology, Diabetes and Metabolism, 15 papers in Surgery and 11 papers in Genetics. Recurrent topics in Daniel A. Finan's work include Diabetes Management and Research (22 papers), Pancreatic function and diabetes (15 papers) and Diabetes and associated disorders (11 papers). Daniel A. Finan is often cited by papers focused on Diabetes Management and Research (22 papers), Pancreatic function and diabetes (15 papers) and Diabetes and associated disorders (11 papers). Daniel A. Finan collaborates with scholars based in United States, Denmark and Germany. Daniel A. Finan's co-authors include Howard Zisser, Wendy C. Bevier, Dale E. Seborg, Francis J. Doyle, Cesar C. Palerm, Lois Jovanovič, Lois Jovanovič, Aaron J. Kowalski, J L Greenstein and Timothy J. Kieffer and has published in prestigious journals such as Diabetes Care, Cell Metabolism and Industrial & Engineering Chemistry Research.

In The Last Decade

Daniel A. Finan

23 papers receiving 543 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.

Severe Hypoglycemia and Impaired Awareness of Hypoglycemia Persist in People With Type 1 Diabetes Despite Use of Diabetes Technology: Results From a Cross-sectional Survey

2024 42 citations Jennifer L. Sherr, Lori M. Laffel et al. Diabetes Care profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel A. Finan United States	14	468	361	289	71	50	24	556
Patricio Colmegna United States	14	522 1.1×	445 1.2×	337 1.2×	97 1.4×	51 1.0×	46	625
Mirko Messori Italy	14	578 1.2×	469 1.3×	328 1.1×	87 1.2×	83 1.7×	19	671
Joon Bok Lee United States	10	611 1.3×	519 1.4×	372 1.3×	67 0.9×	59 1.2×	18	705
José Garcia‐Tirado United States	13	305 0.7×	227 0.6×	169 0.6×	68 1.0×	27 0.5×	40	404
Matthew W. Percival United States	8	392 0.8×	333 0.9×	251 0.9×	61 0.9×	40 0.8×	9	440
Patrick Keith-Hynes United States	12	603 1.3×	533 1.5×	398 1.4×	32 0.5×	29 0.6×	16	705
Dimitri Boiroux Denmark	15	503 1.1×	390 1.1×	288 1.0×	148 2.1×	56 1.1×	59	615
Shahar Miller Israel	11	920 2.0×	809 2.2×	658 2.3×	27 0.4×	31 0.6×	13	1.0k
Gayane Voskanyan United States	12	746 1.6×	630 1.7×	443 1.5×	43 0.6×	36 0.7×	14	851
Faye Cameron United States	10	274 0.6×	224 0.6×	164 0.6×	31 0.4×	27 0.5×	14	325

Countries citing papers authored by Daniel A. Finan

Since Specialization

Citations

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

Fields of papers citing papers by Daniel A. Finan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel A. Finan

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Finan. A scholar is included among the top collaborators of Daniel A. Finan 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 A. Finan. Daniel A. Finan 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

Sherr, Jennifer L., Lori M. Laffel, Jingwen Liu, et al.. (2024). Severe Hypoglycemia and Impaired Awareness of Hypoglycemia Persist in People With Type 1 Diabetes Despite Use of Diabetes Technology: Results From a Cross-sectional Survey. Diabetes Care. 47(6). 941–947. 42 indexed citations breakdown →

Laffel, Lori M., Jennifer L. Sherr, Jingwen Liu, et al.. (2024). Limitations in Achieving Glycemic Targets From CGM Data and Persistence of Severe Hypoglycemia in Adults With Type 1 Diabetes Regardless of Insulin Delivery Method. Diabetes Care. 48(2). 273–278. 2 indexed citations

Latres, Esther, Daniel A. Finan, J L Greenstein, Aaron J. Kowalski, & Timothy J. Kieffer. (2019). Navigating Two Roads to Glucose Normalization in Diabetes: Automated Insulin Delivery Devices and Cell Therapy. Cell Metabolism. 29(3). 545–563. 76 indexed citations

Barnard‐Kelly, Katharine, Ralph Ziegler, David C. Klonoff, et al.. (2018). Open Source Closed-Loop Insulin Delivery Systems: A Clash of Cultures or Merging of Diverse Approaches?. Journal of Diabetes Science and Technology. 12(6). 1223–1226. 29 indexed citations

Desmet, Timothy, et al.. (2018). Drones and "Butterflies": A Low-Cost UAV System for Rapid Detection and Identification of Unconventional Minefields. JMU Scholoraly Commons (James Madison University). 9 indexed citations

Finan, Daniel A., Eyal Dassau, Marc D. Breton, et al.. (2015). Sensitivity of the Predictive Hypoglycemia Minimizer System to the Algorithm Aggressiveness Factor. Journal of Diabetes Science and Technology. 10(1). 104–110. 6 indexed citations

Finan, Daniel A., Eyal Dassau, Stephen D. Patek, et al.. (2014). Closed-Loop Control Performance of the Hypoglycemia-Hyperglycemia Minimizer (HHM) System in a Feasibility Study. Journal of Diabetes Science and Technology. 8(1). 35–42. 10 indexed citations

Finan, Daniel A., Eyal Dassau, Marc D. Breton, et al.. (2014). Effect of Algorithm Aggressiveness on the Performance of the Hypoglycemia-Hyperglycemia Minimizer (HHM) System. Journal of Diabetes Science and Technology. 8(4). 685–690. 8 indexed citations

Boiroux, Dimitri, Daniel A. Finan, John Bagterp Jørgensen, Niels Kjølstad Poulsen, & Henrik Madsen. (2011). Strategies for Glucose Control in People with Type 1 Diabetes. IFAC Proceedings Volumes. 44(1). 3765–3770. 8 indexed citations

10.

Schmidt, Signe, Daniel A. Finan, Anne Katrine Duun‐Henriksen, et al.. (2011). Effects of Everyday Life Events on Glucose, Insulin, and Glucagon Dynamics in Continuous Subcutaneous Insulin Infusion–Treated Type 1 Diabetes: Collection of Clinical Data for Glucose Modeling. Diabetes Technology & Therapeutics. 14(3). 210–217. 15 indexed citations

11.

Harvey, Rebecca A., Youqing Wang, Benyamin Grosman, et al.. (2010). Quest for the Artificial Pancreas: Combining Technology with Treatment. IEEE Engineering in Medicine and Biology Magazine. 29(2). 53–62. 76 indexed citations

12.

Boiroux, Dimitri, Daniel A. Finan, Niels Kjølstad Poulsen, John Bagterp Jørgensen, & Henrik Madsen. (2010). Implications and Limitations of Ideal Insulin Administration for People with Type 1 Diabetes. 156–161. 7 indexed citations

13.

Finan, Daniel A., John Bagterp Jørgensen, Niels Kjølstad Poulsen, & Henrik Madsen. (2010). Robust model identification applied to type 1 diabetes. 2021–2026. 10 indexed citations

14.

Boiroux, Dimitri, Daniel A. Finan, John Bagterp Jørgensen, Niels Kjølstad Poulsen, & Henrik Madsen. (2010). Meal Estimation in Nonlinear Model Predictive Control for Type 1 Diabetes. IFAC Proceedings Volumes. 43(14). 1052–1057. 7 indexed citations

15.

Finan, Daniel A., Howard Zisser, Lois Jovanovič, Wendy C. Bevier, & Dale E. Seborg. (2010). Automatic Detection of Stress States in Type 1 Diabetes Subjects in Ambulatory Conditions. Industrial & Engineering Chemistry Research. 49(17). 7843–7848. 16 indexed citations

16.

Boiroux, Dimitri, Daniel A. Finan, John Bagterp Jørgensen, Niels Kjølstad Poulsen, & Henrik Madsen. (2010). ARX MPC for people with type 1 diabetes. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU).

17.

Finan, Daniel A., Francis J. Doyle, Cesar C. Palerm, et al.. (2009). Experimental Evaluation of a Recursive Model Identification Technique for Type 1 Diabetes. Journal of Diabetes Science and Technology. 3(5). 1192–1202. 54 indexed citations

18.

Finan, Daniel A., Howard Zisser, Lois Jovanovič, Wendy C. Bevier, & Dale E. Seborg. (2007). Practical Issues in the Identification of Empirical Models from Simulated Type 1 Diabetes Data. Diabetes Technology & Therapeutics. 9(5). 438–450. 31 indexed citations

19.

Bevier, Wendy C., Howard Zisser, Cesar C. Palerm, et al.. (2007). Calculating the insulin to carbohydrate ratio using the hyperinsulinaemic-euglycaemic clamp—a novel use for a proven technique. Diabetes/Metabolism Research and Reviews. 23(6). 472–478. 13 indexed citations

20.

Finan, Daniel A., Howard Zisser, Lois Jovanovič, Wendy C. Bevier, & Dale E. Seborg. (2006). IDENTIFICATION OF LINEAR DYNAMIC MODELS FOR TYPE 1 DIABETES: A SIMULATION STUDY. IFAC Proceedings Volumes. 39(2). 503–508. 20 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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