Craig Kollman

4.5k total citations · 2 hit papers
49 papers, 2.3k citations indexed

About

Craig Kollman is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Craig Kollman has authored 49 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Endocrinology, Diabetes and Metabolism, 31 papers in Surgery and 26 papers in Genetics. Recurrent topics in Craig Kollman's work include Diabetes Management and Research (38 papers), Pancreatic function and diabetes (30 papers) and Diabetes and associated disorders (26 papers). Craig Kollman is often cited by papers focused on Diabetes Management and Research (38 papers), Pancreatic function and diabetes (30 papers) and Diabetes and associated disorders (26 papers). Craig Kollman collaborates with scholars based in United States, Canada and Australia. Craig Kollman's co-authors include Roy W. Beck, Bruce A. Buckingham, Katrina J. Ruedy, Stuart A. Weinzimer, Darrell M. Wilson, William V. Tamborlane, R. Paul Wadwa, John W. Lum, Peter Calhoun and H. Peter Chase and has published in prestigious journals such as New England Journal of Medicine, Blood and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Craig Kollman

48 papers receiving 2.2k 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.

A Randomized Trial of Closed-Loop Control in Children with Type 1 Diabetes

2020 284 citations Marc D. Breton, Lauren Kanapka et al. New England Journal of Medicine profile →
Trial of Hybrid Closed-Loop Control in Young Children with Type 1 Diabetes

2023 81 citations R. Paul Wadwa, Bruce A. Buckingham et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Craig Kollman United States	27	1.8k	1.4k	1.2k	237	174	49	2.3k
Craig Kollman United States	28	2.4k 1.3×	1.7k 1.3×	1.5k 1.2×	573 2.4×	547 3.1×	52	3.3k
Harry Dorchy Belgium	21	828 0.5×	558 0.4×	679 0.6×	69 0.3×	81 0.5×	120	1.3k
Stephen Hing Australia	24	896 0.5×	371 0.3×	522 0.4×	463 2.0×	678 3.9×	33	1.8k
Yoon Hi Cho Australia	16	438 0.2×	218 0.2×	249 0.2×	69 0.3×	88 0.5×	34	796
G Tchobroutsky France	20	966 0.5×	326 0.2×	284 0.2×	61 0.3×	85 0.5×	102	1.6k
Gayle M. Lorenzi United States	16	554 0.3×	255 0.2×	264 0.2×	44 0.2×	48 0.3×	41	1.1k
Larry A. Fox United States	21	1.2k 0.7×	855 0.6×	720 0.6×	61 0.3×	4 0.0×	47	1.6k
Nicola N. Zammitt United Kingdom	17	1.2k 0.6×	457 0.3×	508 0.4×	17 0.1×	10 0.1×	33	1.3k
Jean-Louis Sélam United States	15	681 0.4×	423 0.3×	256 0.2×	19 0.1×	46 0.3×	24	979
Sarah E. Siegelaar Netherlands	19	925 0.5×	306 0.2×	308 0.3×	15 0.1×	9 0.1×	41	1.3k

Countries citing papers authored by Craig Kollman

Since Specialization

Citations

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

Fields of papers citing papers by Craig Kollman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig Kollman

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

Buck, Clifton S., Craig Kollman, Chris M. Marsay, et al.. (2025). Seasonal variations in aerosol trace element source contributions and deposition fluxes to the North Pacific Subtropical Gyre.

Kovatchev, Boris, Chiara Fabris, Anas El Fathi, et al.. (2025). The Virtual DCCT: Adding Continuous Glucose Monitoring to a Landmark Clinical Trial for Prediction of Microvascular Complications. Diabetes Technology & Therapeutics. 27(3). 209–216. 8 indexed citations

Davis, Georgia M., Michael S. Hughes, Sue A. Brown, et al.. (2023). Automated Insulin Delivery with Remote Real-Time Continuous Glucose Monitoring for Hospitalized Patients with Diabetes: A Multicenter, Single-Arm, Feasibility Trial. Diabetes Technology & Therapeutics. 25(10). 677–688. 19 indexed citations

Price, Marianne O., Lauren Kanapka, Craig Kollman, Jonathan H. Lass, & Francis W. Price. (2023). Descemet Membrane Endothelial Keratoplasty: 10-Year Cell Loss and Failure Rate Compared With Descemet Stripping Endothelial Keratoplasty and Penetrating Keratoplasty. Cornea. 43(11). 1403–1409. 8 indexed citations

Wolf, Risa M., Peiyao Cheng, Robin L. Gal, et al.. (2022). Youth with type 2 diabetes have a high rate of treatment failure after discontinuation of insulin: A Pediatric Diabetes Consortium study. Pediatric Diabetes. 23(4). 439–446. 3 indexed citations

Brown, Sue A., Dan Raghinaru, Bruce A. Buckingham, et al.. (2020). 101-LB: Eighteen-Month Use of Closed-Loop Control (CLC): A Randomized, Controlled Trial. Diabetes. 69(Supplement_1). 1 indexed citations

Breton, Marc D., Lauren Kanapka, Roy W. Beck, et al.. (2020). A Randomized Trial of Closed-Loop Control in Children with Type 1 Diabetes. New England Journal of Medicine. 383(9). 836–845. 284 indexed citations breakdown →

Forlenza, Gregory P., Zoey Li, Bruce A. Buckingham, et al.. (2018). Predictive Low-Glucose Suspend Reduces Hypoglycemia in Adults, Adolescents, and Children With Type 1 Diabetes in an At-Home Randomized Crossover Study: Results of the PROLOG Trial. Diabetes Care. 41(10). 2155–2161. 168 indexed citations

Spaic, Tamara, Marsha Driscoll, Dan Raghinaru, et al.. (2017). Predictive Hyperglycemia and Hypoglycemia Minimization: In-Home Evaluation of Safety, Feasibility, and Efficacy in Overnight Glucose Control in Type 1 Diabetes. Diabetes Care. 40(3). 359–366. 17 indexed citations

10.

Price, Marianne O., Peter Calhoun, Craig Kollman, Francis W. Price, & Jonathan H. Lass. (2016). Descemet Stripping Endothelial Keratoplasty. Ophthalmology. 123(7). 1421–1427. 73 indexed citations

11.

Calhoun, Peter, Bruce A. Buckingham, David M. Maahs, et al.. (2016). Efficacy of an Overnight Predictive Low-Glucose Suspend System in Relation to Hypoglycemia Risk Factors in Youth and Adults With Type 1 Diabetes. Journal of Diabetes Science and Technology. 10(6). 1216–1221. 28 indexed citations

12.

Wilson, Darrell M., Peter Calhoun, David M. Maahs, et al.. (2015). Factors Associated with Nocturnal Hypoglycemia in At-Risk Adolescents and Young Adults with Type 1 Diabetes. Diabetes Technology & Therapeutics. 17(6). 385–391. 42 indexed citations

13.

Kollman, Craig, Peter Calhoun, John W. Lum, William H. Sauer, & Roy W. Beck. (2013). Evaluation of Stochastic Adjustment for Glucose Sensor Bias During Closed-Loop Insulin Delivery. Diabetes Technology & Therapeutics. 16(3). 186–192. 4 indexed citations

14.

Redondo, María J., Crystal G. Connor, Katrina J. Ruedy, et al.. (2013). Pediatric Diabetes Consortium Type 1 Diabetes New Onset (NeOn) Study: factors associated with HbA1c levels one year after diagnosis. Pediatric Diabetes. 15(4). 294–302. 41 indexed citations

15.

Kollman, Craig, John P. Klein, Stephen R. Spellman, et al.. (2013). The Effect of Donor Characteristics On Graft Vs. Host Disease (GVHD) and Survival After Unrelated Donor Transplantation for Hematologic Malignancy. Biology of Blood and Marrow Transplantation. 19(2). S146–S147. 3 indexed citations

16.

Sherr, Jennifer L., William V. Tamborlane, Dongyuan Xing, et al.. (2012). Achievement of Target A1C Levels With Negligible Hypoglycemia and Low Glucose Variability in Youth With Short-Term Type 1 Diabetes and Residual β-Cell Function. Diabetes Care. 35(4). 817–820. 19 indexed citations

17.

Wilson, Darrell M., Dongyuan Xing, Bruce W. Bode, et al.. (2011). Hemoglobin A1c and Mean Glucose in Patients With Type 1 Diabetes. Diabetes Care. 34(3). 540–544. 42 indexed citations

18.

Tsalikian, Eva, Larry A. Fox, Stuart A. Weinzimer, et al.. (2011). Feasibility of prolonged continuous glucose monitoring in toddlers with type 1 diabetes. Pediatric Diabetes. 13(4). 301–307. 59 indexed citations

19.

Wilson, Darrell M., H. Peter Chase, Craig Kollman, et al.. (2008). Low-fat vs. high-fat bedtime snacks in children and adolescents with type 1 diabetes. Pediatric Diabetes. 9(4pt1). 320–325. 10 indexed citations

20.

Tamborlane, William V., Bruce W. Bode, Bruce A. Buckingham, et al.. (2008). Continuous Glucose Monitoring and Intensive Treatment of Type 1 Diabetes The Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group. 135 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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