Risa M. Wolf

2.0k total citations · 1 hit paper
76 papers, 1.0k citations indexed

About

Risa M. Wolf is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Risa M. Wolf has authored 76 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Endocrinology, Diabetes and Metabolism, 20 papers in Radiology, Nuclear Medicine and Imaging and 19 papers in Surgery. Recurrent topics in Risa M. Wolf's work include Diabetes Management and Research (38 papers), Retinal Imaging and Analysis (17 papers) and Retinal Diseases and Treatments (16 papers). Risa M. Wolf is often cited by papers focused on Diabetes Management and Research (38 papers), Retinal Imaging and Analysis (17 papers) and Retinal Diseases and Treatments (16 papers). Risa M. Wolf collaborates with scholars based in United States, Australia and Denmark. Risa M. Wolf's co-authors include Roomasa Channa, G. William Wong, Michael D. Abràmoff, Kimberley E. Steele, Thomas Magnuson, Michael Schweitzer, Harold P. Lehmann, Laura Prichett, Xia Lei and Leigh Peterson and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Nature Communications.

In The Last Decade

Risa M. Wolf

64 papers receiving 1.0k 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.

Autonomous artificial intelligence increases screening and follow-up for diabetic retinopathy in youth: the ACCESS randomized control trial

2024 51 citations Risa M. Wolf, Roomasa Channa et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Risa M. Wolf United States	20	263	243	231	213	200	76	1.0k
E Shyong Tai Singapore	17	254 1.0×	224 0.9×	380 1.6×	412 1.9×	87 0.4×	33	1.1k
Sara B. Seidelmann United States	20	360 1.4×	113 0.5×	372 1.6×	163 0.8×	521 2.6×	31	1.9k
Alanna Weisman Canada	16	666 2.5×	80 0.3×	59 0.3×	62 0.3×	184 0.9×	62	1.2k
Shriji Patel United States	20	109 0.4×	89 0.4×	411 1.8×	757 3.6×	39 0.2×	87	1.2k
Alvin Chandra United States	17	173 0.7×	214 0.9×	160 0.7×	22 0.1×	102 0.5×	47	1.1k
Yu‐Sheng Lin Taiwan	17	107 0.4×	158 0.7×	61 0.3×	53 0.2×	97 0.5×	66	926
Rokhsareh Aghili Iran	17	287 1.1×	117 0.5×	63 0.3×	80 0.4×	156 0.8×	55	822
Amira M. Youssef Saudi Arabia	19	735 2.8×	262 1.1×	110 0.5×	123 0.6×	91 0.5×	50	1.4k
Marta Hernández Spain	23	549 2.1×	173 0.7×	137 0.6×	127 0.6×	176 0.9×	87	1.5k
Arseniy Yashkin United States	16	145 0.6×	142 0.6×	67 0.3×	94 0.4×	125 0.6×	64	873

Countries citing papers authored by Risa M. Wolf

Since Specialization

Citations

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

Fields of papers citing papers by Risa M. Wolf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Risa M. Wolf. 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 Risa M. Wolf. The network helps show where Risa M. Wolf may publish in the future.

Co-authorship network of co-authors of Risa M. Wolf

This figure shows the co-authorship network connecting the top 25 collaborators of Risa M. Wolf. A scholar is included among the top collaborators of Risa M. Wolf 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 Risa M. Wolf. Risa M. Wolf 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

Dai, Tinglong, et al.. (2025). Cost-effectiveness of AI for pediatric diabetic eye exams from a health system perspective. npj Digital Medicine. 8(1). 3–3. 4 indexed citations

Mathioudakis, Nestoras, Risa M. Wolf, Georgia M. Davis, et al.. (2025). Implementation and Evaluation of a Best Practice Advisory to Reduce Inequities in Technology Use for People With Type 1 Diabetes: Protocol for a Mixed Methods, Nonrandomized Controlled Trial. JMIR Research Protocols. 14. e71038–e71038.

Liu, T. Y. Alvin, et al.. (2024). Dipeptidyl peptidase 4 inhibitors, sodium glucose cotransporter 2 inhibitors, and glucagon-like peptide 1 receptor agonists do not worsen diabetic macular edema. Journal of Diabetes and its Complications. 38(8). 108808–108808. 1 indexed citations

Youssef, Alaa, Nicole Martinez‐Martin, David B. Larson, et al.. (2024). Ethical Considerations in the Design and Conduct of Clinical Trials of Artificial Intelligence. JAMA Network Open. 7(9). e2432482–e2432482. 14 indexed citations

Liu, T. Y. Alvin, Fatima Khan, Kerry Smith, et al.. (2024). Use of Diabetes Technologies and Retinopathy in Adults With Type 1 Diabetes. JAMA Network Open. 7(3). e240728–e240728. 7 indexed citations

Bromberger, Lee, et al.. (2024). 14-OR: Autonomous Artificial Intelligence Diabetic Eye Exams Mitigates Disparities in Screening Completion for Youth. Diabetes. 73(Supplement_1). 1 indexed citations

Channa, Roomasa, et al.. (2024). Autonomous artificial intelligence for diabetic eye disease increases access and health equity in underserved populations. npj Digital Medicine. 7(1). 196–196. 10 indexed citations

Wolf, Risa M., et al.. (2024). Qualitative metrics from the biomedical literature for evaluating large language models in clinical decision-making: a narrative review. BMC Medical Informatics and Decision Making. 24(1). 357–357. 7 indexed citations

Eng, Donna, Brian Miyazaki, Ryan McDonough, et al.. (2023). The Design of the Electronic Health Record in Type 1 Diabetes Centers: Implications for Metrics and Data Availability for a Quality Collaborative. Journal of Diabetes Science and Technology. 18(1). 30–38. 2 indexed citations

10.

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

11.

Wolf, Risa M., et al.. (2022). Potential reduction in healthcare carbon footprint by autonomous artificial intelligence. npj Digital Medicine. 5(1). 62–62. 29 indexed citations

12.

Channa, Roomasa, et al.. (2022). Social Determinants of Health and Impact on Screening, Prevalence, and Management of Diabetic Retinopathy in Adults: A Narrative Review. Journal of Clinical Medicine. 11(23). 7120–7120. 21 indexed citations

13.

Sarver, Dylan C., et al.. (2022). Novel Adipokines CTRP1, CTRP9, and FGF21 in Pediatric Type 1 and Type 2 Diabetes: A Cross-Sectional Analysis. Hormone Research in Paediatrics. 95(1). 43–50. 4 indexed citations

14.

Brown, Elizabeth, et al.. (2022). A Brief Nutrition Questionnaire for Children With Newly Diagnosed Type 1 Diabetes. Clinical Diabetes. 41(2). 192–197.

15.

Wolf, Risa M., Nudrat Noor, Roberto Izquierdo, et al.. (2022). Increase in newly diagnosed type 1 diabetes in youth during the COVID ‐19 pandemic in the United States : A multi‐center analysis. Pediatric Diabetes. 23(4). 433–438. 19 indexed citations

16.

Gubitosi‐Klug, Rose, et al.. (2021). Pediatric Diabetic Retinopathy: Updates in Prevalence, Risk Factors, Screening, and Management. Current Diabetes Reports. 21(12). 56–56. 15 indexed citations

17.

Bacha, Fida, Peiyao Cheng, Robin L. Gal, et al.. (2021). Racial and Ethnic Disparities in Comorbidities in Youth With Type 2 Diabetes in the Pediatric Diabetes Consortium (PDC). Diabetes Care. 44(10). 2245–2251. 15 indexed citations

18.

Valenzuela, Jessica M., et al.. (2020). Racial Ethnic Disparities in Youth With Type 1 Diabetes Participating in Diabetes Summer Camps. Diabetes Care. 43(4). 903–905. 12 indexed citations

19.

Wolf, Risa M., et al.. (2020). Diabetes and cardiometabolic risk in South Asian youth: A review. Pediatric Diabetes. 22(1). 52–66. 26 indexed citations

20.

Valenzuela, Jessica M., et al.. (2020). Assessing disparities in barriers to attending pediatric diabetes camp. Journal of Pediatric Endocrinology and Metabolism. 33(12). 1597–1600. 2 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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