Michael Dobryansky

1.5k citations
18 papers · 1.2k · 1 hit paper · h-index 13

Impact in

Papers in

    • Reconstructive Surgery and Microvascular Techniques 3
    • Orthopedic Surgery and Rehabilitation 2
    • Angiogenesis and VEGF in Cancer 4

Michael Dobryansky

18 papers receiving 1.2k citations

Hit Papers

Quantitative and reproducible murine model of excisional wound healing 2004 · 606 citations
6060+7+14Years since publication200400600

Peers

Michael Dobryansky
Comparison fields: 5 of 106
  • Rehabilitation 503
  • Genetics 197
  • Occupational Therapy 72
  • Biomaterials 162
  • Urology 75
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Oren Z. Lerman United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael Dobryansky

Since Specialization
Citations

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

Fields of papers citing papers by Michael Dobryansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Dobryansky. 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 Michael Dobryansky. The network helps show where Michael Dobryansky may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
Quantitative and reproducible murine model of excisional wound healing
Hit paper breakdown →
2004606
2 2000151
3 2000115
4 200460
5 200552
6 199850
7 200940
8 200537
9 201227
10 200526
11 200421
12 200519
13 200412
14 20209
15 20126
16 20095
17 20201
18 20181

About Michael Dobryansky

Michael Dobryansky is a scholar working on Surgery, Molecular Biology, Dermatology, Rehabilitation and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (4 papers), Reconstructive Surgery and Microvascular Techniques (3 papers), Craniofacial Disorders and Treatments (2 papers), Facial Rejuvenation and Surgery Techniques (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Orthopedic Surgery and Rehabilitation (2 papers), Wound Healing and Treatments (2 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). The work is most often cited by research in Rehabilitation (503 citations), Genetics (197 citations), Occupational Therapy (72 citations), Biomaterials (162 citations) and Urology (75 citations). Michael Dobryansky has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Geoffrey C. Gurtner, Robert D. Galiano, Jamie P. Levine, Henry Cohen, Kenneth Eng, Stuart G. Marcus, Peter Shamamian, Lucia Zanetta, Paolo Mignatti and Joseph Michaels. Their work appears in journals such as Annals of Plastic Surgery, Plastic & Reconstructive Surgery, International Journal of Cancer, Wound Repair and Regeneration and Journal of Clinical Gastroenterology.

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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