Dietmar Ulrich

3.4k total citations
153 papers, 2.5k citations indexed

About

Dietmar Ulrich is a scholar working on Surgery, Epidemiology and Biomedical Engineering. According to data from OpenAlex, Dietmar Ulrich has authored 153 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Surgery, 24 papers in Epidemiology and 21 papers in Biomedical Engineering. Recurrent topics in Dietmar Ulrich's work include Reconstructive Surgery and Microvascular Techniques (54 papers), Breast Implant and Reconstruction (23 papers) and Wound Healing and Treatments (18 papers). Dietmar Ulrich is often cited by papers focused on Reconstructive Surgery and Microvascular Techniques (54 papers), Breast Implant and Reconstruction (23 papers) and Wound Healing and Treatments (18 papers). Dietmar Ulrich collaborates with scholars based in Netherlands, Germany and United States. Dietmar Ulrich's co-authors include Norbert Pallua, Stefan Hummelink, Andrzej Piątkowski, Frank Unglaub, Arico C. Verhulst, Thomas Maal, Nicholas J. Slater, Hanneke J. P. Tielemans, Rinaldo D. Vreeken and Ralf Smeets and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Dietmar Ulrich

140 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dietmar Ulrich Netherlands 28 1.5k 381 336 321 256 153 2.5k
Holger Bannasch Germany 30 1.4k 0.9× 350 0.9× 185 0.6× 247 0.8× 372 1.5× 102 2.6k
Ernest S. Chiu United States 28 1.5k 1.0× 344 0.9× 127 0.4× 296 0.9× 290 1.1× 107 2.8k
Yves Harder Switzerland 28 1.5k 1.0× 371 1.0× 454 1.4× 176 0.5× 577 2.3× 143 2.7k
Andrzej Piątkowski Netherlands 28 1.1k 0.7× 435 1.1× 135 0.4× 286 0.9× 205 0.8× 147 2.2k
Hannu Kuokkanen Finland 28 1.7k 1.1× 257 0.7× 464 1.4× 113 0.4× 301 1.2× 89 2.5k
Won Jai Lee South Korea 29 1.2k 0.8× 578 1.5× 179 0.5× 141 0.4× 156 0.6× 165 2.6k
Sin‐Daw Lin Taiwan 31 2.4k 1.6× 549 1.4× 128 0.4× 162 0.5× 541 2.1× 194 3.6k
Sirpa Asko‐Seljavaara Finland 34 1.8k 1.2× 220 0.6× 244 0.7× 528 1.6× 553 2.2× 139 3.3k
Günter Germann Germany 29 1.5k 1.0× 424 1.1× 382 1.1× 93 0.3× 533 2.1× 86 2.5k
Garrett A. Wirth United States 23 1.2k 0.8× 400 1.0× 105 0.3× 141 0.4× 179 0.7× 79 2.0k

Countries citing papers authored by Dietmar Ulrich

Since Specialization
Citations

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

Fields of papers citing papers by Dietmar Ulrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dietmar Ulrich

This figure shows the co-authorship network connecting the top 25 collaborators of Dietmar Ulrich. A scholar is included among the top collaborators of Dietmar Ulrich 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 Dietmar Ulrich. Dietmar Ulrich 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.
Hummelink, Stefan, et al.. (2025). Does the dressing matter in pediatric partial-thickness burns: a systematic review and meta-analysis. Burns. 51(4). 107428–107428.
2.
Tielemans, Hanneke J. P., et al.. (2025). Projected augmented reality and dynamic infrared thermography enhances profunda artery perforator flap perforator mapping. Surgical Oncology. 62. 102274–102274.
3.
Vermeulen, Hester, et al.. (2024). Exploring the definition of surgical wound dehiscence in literature: a Scoping Review. Journal of Tissue Viability. 33(4). 923–929.
4.
Young‐Afat, Danny A., et al.. (2024). The Impact of Scars After DIEP-Flap Breast Reconstruction on Satisfaction and HR-QoL: A Cross-Sectional Study Comparing BREAST-Q Scores. Aesthetic Plastic Surgery. 49(3). 733–740. 2 indexed citations
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Hummelink, Stefan, et al.. (2022). Development and Evaluation of a Remote Patient Monitoring System in Autologous Breast Reconstruction. Radboud Repository (Radboud University). 3 indexed citations
8.
Tjin, Esther P.M., et al.. (2022). Breast and abdominal scarring after DIEP flap breast reconstruction: An exploration of patient-reported scar quality. Journal of Plastic Reconstructive & Aesthetic Surgery. 75(6). 1805–1812. 9 indexed citations
9.
Ulrich, Dietmar, et al.. (2021). Reconstruction of full thickness wounds using glyaderm in a single-staged procedure. Cell and Tissue Banking. 22(2). 199–205. 4 indexed citations
10.
Hol, Myrthe K. S., Dietmar Ulrich, Anton F. J. de Haan, et al.. (2020). Autologous versus prosthetic nasal and auricular reconstruction – patient, professional and layperson perceptions. International Journal of Oral and Maxillofacial Surgery. 49(10). 1271–1278. 5 indexed citations
11.
Hummelink, Stefan, et al.. (2020). The impact of scars on health-related quality of life after breast surgery: a qualitative exploration. Journal of Cancer Survivorship. 15(2). 224–233. 24 indexed citations
12.
Beugels, Jop, Merel Kimman, Andrzej Piątkowski, et al.. (2020). Improving the quality of life of patients with breast cancer-related lymphoedema by lymphaticovenous anastomosis (LVA): study protocol of a multicentre randomised controlled trial. BMJ Open. 10(1). e035337–e035337. 8 indexed citations
13.
Tielemans, Hanneke J. P., et al.. (2020). “Three-dimensional evaluation of breast volume changes following autologous free flap breast reconstruction over six months”. The Breast. 50. 85–94. 16 indexed citations
14.
Smith, Brandon T., Marco Santoro, John A. Jansen, et al.. (2019). Fast dissolving glucose porogens for early calcium phosphate cement degradation and bone regeneration. Biomedical Materials. 15(2). 25002–25002. 15 indexed citations
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Hummelink, Stefan, et al.. (2017). The merits of decision modelling in the earliest stages of the IDEAL framework: An innovative case in DIEP flap breast reconstructions. Journal of Plastic Reconstructive & Aesthetic Surgery. 70(12). 1696–1701. 10 indexed citations
17.
Hummelink, Stefan, Arico C. Verhulst, Thomas Maal, et al.. (2017). An innovative method of planning and displaying flap volume in DIEP flap breast reconstructions. Journal of Plastic Reconstructive & Aesthetic Surgery. 70(7). 871–875. 23 indexed citations
18.
Verhulst, Arico C., et al.. (2016). Three-dimensional stereophotogrammetry as an accurate tool in analysis of lymphedema of the hand. Journal of Plastic Reconstructive & Aesthetic Surgery. 10. 40–46. 1 indexed citations
19.
Tim, Carla Roberta, Murilo C. Crovace, Edgar Dutra Zanotto, et al.. (2015). Bone regeneration and gene expression in bone defects under healthy and osteoporotic bone conditions using two commercially available bone graft substitutes. Biomedical Materials. 10(3). 35003–35003. 19 indexed citations
20.
Ulrich, Dietmar, et al.. (2003). Matrix Metalloproteinases and Tissue Inhibitors of Metalloproteinases in Sera and Tissue of Patients with Dupuytren’s Disease. Plastic & Reconstructive Surgery. 112(5). 1279–1286. 44 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.

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