Daniel Glenn Federman

160 papers receiving 4.6k citations

Daniel Glenn Federman's Hit Papers

Robot-Assisted Therapy for Long-Term Upper-Limb Impairment after Stroke 2010 · 1.1k citations
1.1k0+5+10Years since publication2505007501k

Peers

Daniel Glenn Federman
Comparison fields: 5 of 151
  • Rehabilitation 1k
  • Dermatology 324
  • Parasitology 229
  • Oncology 624
  • Immunology 435
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Glenn Federman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Glenn Federman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Glenn Federman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Glenn Federman Line = papers co-authored together Daniel Glenn Federman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Robot-Assisted Therapy for Long-Term Upper-Limb Impairment after Stroke
Hit paper breakdown →
20101135
2 2009348
3 2005197
4 2001148
5 2011137
6 2012116
7 2003114
8 1999110
9 200396
10 199592
11 200985
12
Common bacterial skin infections.
200183
13 200280
14 200978
15 200574
16 201174
17
Informed consent for PSA screening: does it happen?
199971
18 200262
19 201160
20 199955

About Daniel Glenn Federman

Daniel Glenn Federman is a scholar working on Dermatology, Oncology, General Health Professions, Epidemiology and Rehabilitation, having authored 168 papers that have together received 5k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (24 papers), Nonmelanoma Skin Cancer Studies (14 papers), Primary Care and Health Outcomes (11 papers), Dermatology and Skin Diseases (10 papers), Healthcare Systems and Technology (9 papers), Peripheral Artery Disease Management (9 papers), Acupuncture Treatment Research Studies (9 papers) and Psoriasis: Treatment and Pathogenesis (8 papers). The work is most often cited by research in Rehabilitation (1k citations), Dermatology (324 citations), Parasitology (229 citations), Oncology (624 citations) and Immunology (435 citations). Daniel Glenn Federman has collaborated with scholars based in United States, Australia and Honduras. Frequent co-authors include Robert Scott Kirsner, Jeffrey D. Kravetz, Fangchao Ma, Peter N. Peduzzi, Dawn M. Bravata, Jodie K. Haselkorn, Todd H. Wagner, Christopher T. Bever, Peter Guarino and George Frederick Wittenberg. Their work appears in journals such as The American Journal of Medicine, Journal of the American Academy of Dermatology, JAMA, Dermatologic Surgery and Journal of General Internal Medicine.

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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