Daniel M. Siegel
- Dermatology top 0.5%
- Epidemiology top 10%
- Oncology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Molecular Biology
- Co-authors
- Jared JagdeoNeil BrodyRobert L. McDonaldAndrew MamalisOrit MarkowitzEdward J M MonkAlan R. ShalitaJames Spencer
- Topics
- Nonmelanoma Skin Cancer Studies (30 papers)Cutaneous Melanoma Detection and Management (25 papers)Cutaneous lymphoproliferative disorders research (12 papers)
- Cited by
- DermatologyOncologyRehabilitation
- Journals
- JAMASHILAP Revista de lepidopterologíaThe Journal of Finance
- Partner nations
- United StatesDenmarkNetherlands
In The Last Decade
Daniel M. Siegel
96 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 154
- Dermatology 645
- Epidemiology 451
- Oncology 429
- Radiology, Nuclear Medicine and Imaging 304
- Molecular Biology 237
Countries citing papers authored by Daniel M. Siegel
This map shows the geographic impact of Daniel M. Siegel'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 M. Siegel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Siegel more than expected).
Fields of papers citing papers by Daniel M. Siegel
This network shows the impact of papers produced by Daniel M. Siegel. 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 M. Siegel. The network helps show where Daniel M. Siegel may publish in the future.
Co-authorship network of co-authors of Daniel M. Siegel
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Siegel. A scholar is included among the top collaborators of Daniel M. Siegel 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 M. Siegel. Daniel M. Siegel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 31 | |
| 3 | 4 | |
| 4 | 13 | |
| 5 | 46 | |
| 6 | 1 | |
| 7 | Coding changes for 2016. | 1 |
| 8 | Differentiation of Basal Cell Carcinoma Subtypes in Multi-Beam Swept Source Optical Coherence Tomography (MSS-OCT). | 12 |
| 9 | 3 | |
| 10 | 8 | |
| 11 | 11 | |
| 12 | 43 | |
| 13 | 6 | |
| 14 | 40 | |
| 15 | 8 | |
| 16 | 27 | |
| 17 | 13 | |
| 18 | 9 | |
| 19 | 2 | |
| 20 | 23 |
About Daniel M. Siegel
Daniel M. Siegel is a scholar working on Dermatology, Epidemiology and Oncology, having authored 103 papers that have together received 1.7k indexed citations. Recurring topics across this work include Nonmelanoma Skin Cancer Studies (30 papers), Cutaneous Melanoma Detection and Management (25 papers) and Cutaneous lymphoproliferative disorders research (12 papers). The work is most often cited by research in Dermatology (645 citations), Oncology (429 citations) and Rehabilitation (100 citations). Daniel M. Siegel has collaborated with scholars based in United States, Denmark and Netherlands. Frequent co-authors include Jared Jagdeo, Neil Brody, Robert L. McDonald, Andrew Mamalis, Orit Markowitz, Edward J M Monk, Alan R. Shalita, James Spencer, Gordon McKenzie and Hadar Lev‐Tov. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and The Journal of Finance.
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.