William H. Eaglstein

128 papers receiving 6.2k citations

William H. Eaglstein's Hit Papers

THE PIG AS A MODEL FOR HUMAN WOUND HEALING 2001 · 860 citations
8600+8+16Years since publication250500750

Peers

William H. Eaglstein
Comparison fields: 5 of 154
  • Rehabilitation 3.0k
  • Occupational Therapy 688
  • Dermatology 1.0k
  • Internal Medicine 191
  • Biomaterials 701
Replace Tania J. Phillips with:
Tania J. Phillips United States
Gerald S. Lazarus United States
Joachim Dissemond Germany
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I. Kelman Cohen United States
Luc Téot France
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Citations per year

Countries citing papers authored by William H. Eaglstein

Since Specialization
Citations

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

Fields of papers citing papers by William H. Eaglstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William H. Eaglstein. 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 William H. Eaglstein. The network helps show where William H. Eaglstein may publish in the future.

Co-authors

The 25 scholars most cited alongside William H. Eaglstein, 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 William H. Eaglstein Line = papers co-authored together William H. Eaglstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1
THE PIG AS A MODEL FOR HUMAN WOUND HEALING
Hit paper breakdown →
2001860
2 2001341
3 1993321
4 2007313
5 1983309
6 1991205
7 1997167
8 1983158
9 1970157
10 1978138
11 1981132
12 1985125
13 1995118
14 2000117
15 1985105
16 1999102
17 199398
18
Optimal use of an occlusive dressing to enhance healing. Effect of delayed application and early removal on wound healing.
198895
19 199792
20
Causes and effects of the chronic inflammation in venous leg ulcers.
200091

About William H. Eaglstein

William H. Eaglstein is a scholar working on Rehabilitation, Surgery, Dermatology, Epidemiology and Occupational Therapy, having authored 130 papers that have together received 6.7k indexed citations. Recurring topics across this work include Wound Healing and Treatments (58 papers), Surgical Sutures and Adhesives (23 papers), Diagnosis and Treatment of Venous Diseases (17 papers), Pressure Ulcer Prevention and Management (11 papers), Nail Diseases and Treatments (10 papers), Dermatologic Treatments and Research (9 papers), Dermatology and Skin Diseases (9 papers) and Diabetic Foot Ulcer Assessment and Management (8 papers). The work is most often cited by research in Rehabilitation (3.0k citations), Occupational Therapy (688 citations), Dermatology (1.0k citations), Internal Medicine (191 citations) and Biomaterials (701 citations). William H. Eaglstein has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Patricia M. Mertz, Robert S. Kirsner, Stephen C. Davis, Vincent Falanga, Tory P. Sullivan, Oscar M. Alvarez, Anna F. Falabella, Isabel C. Valencia, Diane Sekura Snyder and Alex Cazzaniga. Their work appears in journals such as Journal of the American Academy of Dermatology, Dermatologic Surgery, Journal of Investigative Dermatology, Wound Repair and Regeneration and British Journal of Dermatology.

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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