Daniel I. Schlessinger

560 total citations · 1 hit paper
27 papers, 283 citations indexed

About

Daniel I. Schlessinger is a scholar working on Surgery, Dermatology and Sociology and Political Science. According to data from OpenAlex, Daniel I. Schlessinger has authored 27 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Dermatology and 6 papers in Sociology and Political Science. Recurrent topics in Daniel I. Schlessinger's work include Delphi Technique in Research (6 papers), Cutaneous Melanoma Detection and Management (5 papers) and Digital Imaging in Medicine (3 papers). Daniel I. Schlessinger is often cited by papers focused on Delphi Technique in Research (6 papers), Cutaneous Melanoma Detection and Management (5 papers) and Digital Imaging in Medicine (3 papers). Daniel I. Schlessinger collaborates with scholars based in United States, Germany and United Kingdom. Daniel I. Schlessinger's co-authors include Thomas C. King, Donald J. Krogstad, Roberto A. Novoa, Justin Ko, Olivier Gevaert, Joel Schlessinger, Murad Alam, Emily Poon, Susan M. Swetter and G S Kobayashi and has published in prestigious journals such as Nature Medicine, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Daniel I. Schlessinger

22 papers receiving 265 citations

Hit Papers

An evaluation framework for clinical use of large languag... 2025 2026 2025 10 20 30 40

Peers

Daniel I. Schlessinger
Colby L. Presley United States
Randy M. Gordon United States
Ayyappa Chaturvedula United States
Sang-Joon Park South Korea
Jaegyun Lim South Korea
Fleischer Ab United States
Colby L. Presley United States
Daniel I. Schlessinger
Citations per year, relative to Daniel I. Schlessinger Daniel I. Schlessinger (= 1×) peers Colby L. Presley

Countries citing papers authored by Daniel I. Schlessinger

Since Specialization
Citations

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

Fields of papers citing papers by Daniel I. Schlessinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel I. Schlessinger

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel I. Schlessinger. A scholar is included among the top collaborators of Daniel I. Schlessinger 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 I. Schlessinger. Daniel I. Schlessinger 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.
Schlessinger, Daniel I.. (2025). Artificial Intelligence in Cosmetic Dermatology and Dermatologic Surgery. Dermatologic Clinics. 43(4). 585–591.
2.
Schlessinger, Daniel I., Justin Ko, Ivy Lee, Veronica Rotemberg, & Roberto A. Novoa. (2025). Augmented Intelligence and Dermatology – Part I: Core Concepts and Applications. Journal of the American Academy of Dermatology. 94(1). 1–8. 1 indexed citations
3.
Jeong, Jae‐Hwan, Daniel I. Schlessinger, Shannon Wongvibulsin, et al.. (2025). An evaluation framework for clinical use of large language models in patient interaction tasks. Nature Medicine. 31(1). 77–86. 48 indexed citations breakdown →
4.
Lee, Ivy, Jenna Lester, Veronica Rotemberg, et al.. (2024). Engaging industry effectively and ethically in artificial intelligence from the Augmented Artificial Intelligence Committee Standards Workgroup. Journal of the American Academy of Dermatology. 91(2). 312–314. 1 indexed citations
5.
Clark, Melanie A., Victoria Shi, Sanjana Iyengar, et al.. (2024). Comparative effectiveness of short contact (30-minute) lidocaine-prilocaine vs lidocaine-tetracaine topical anesthetic mixtures for cutaneous pain relief: A randomized controlled trial. Journal of the American Academy of Dermatology. 90(5). 1069–1071.
6.
Gui, Haiwen, Daniel I. Schlessinger, Jenna Lester, et al.. (2024). 50830 Dermatologists’ perspectives on the usage of AI-based large language models in practice- an exploratory survey. Journal of the American Academy of Dermatology. 91(3). AB30–AB30. 1 indexed citations
7.
Shi, Victoria, et al.. (2024). Association of inflammatory bowel disease incidence with isotretinoin usage: A meta-analysis and systematic review. Journal of the American Academy of Dermatology. 91(5). 949–951.
8.
Shi, Victoria, Amina Ahmed, Ming Ma, et al.. (2024). LB902 A core outcome set for surgical and traumatic scarring: a systematic review. Journal of Investigative Dermatology. 144(8). S158–S158.
9.
Schlessinger, Daniel I., Emir Veledar, Kelly A. Reynolds, et al.. (2022). Voting behavior during FDA Medical Device Advisory Committee panel meetings. PLoS ONE. 17(6). e0267134–e0267134. 1 indexed citations
10.
Kang, Bianca Y., Sarah A. Ibrahim, Daniel I. Schlessinger, et al.. (2021). Postinflammatory hyperpigmentation: protocol for development of a core outcome set for clinical trials. Archives of Dermatological Research. 314(4). 357–361. 6 indexed citations
11.
Alam, Murad, Sarah A. Ibrahim, Bianca Y. Kang, et al.. (2020). Core outcome sets and core outcome measures: a primer. Archives of Dermatological Research. 314(4). 389–391. 4 indexed citations
12.
Schlessinger, Daniel I., et al.. (2019). Artificial intelligence and dermatology: opportunities, challenges, and future directions. Seminars in Cutaneous Medicine and Surgery. 38(1). E31–E37. 24 indexed citations
13.
Schlessinger, Daniel I., et al.. (2018). Ulcerated forehead nodule in an intravenous heroin user. JAAD Case Reports. 5(1). 63–65. 1 indexed citations
14.
Alam, Murad, Divya Sadhwani, Amelia Geisler, et al.. (2018). Subcutaneous infiltration of carbon dioxide (carboxytherapy) for abdominal fat reduction: A randomized clinical trial. Journal of the American Academy of Dermatology. 79(2). 320–326. 15 indexed citations
15.
19.
Alam, Murad, Parth Patel, Daniel I. Schlessinger, et al.. (2016). A Systematic Review of Completeness of Reporting in Randomized Controlled Trials in Dermatologic Surgery: Adherence to CONSORT 2010 Recommendations. Dermatologic Surgery. 42(12). 1325–1334. 3 indexed citations
20.
King, Thomas C., Daniel I. Schlessinger, & Donald J. Krogstad. (1981). The Assessment of Antimicrobial Combinations. Clinical Infectious Diseases. 3(3). 627–633. 55 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026