Daniel Widmer

5.1k total citations · 2 hit papers
92 papers, 3.9k citations indexed

About

Daniel Widmer is a scholar working on General Health Professions, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Daniel Widmer has authored 92 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in General Health Professions, 16 papers in Molecular Biology and 12 papers in Materials Chemistry. Recurrent topics in Daniel Widmer's work include Health, Medicine and Society (10 papers), Melanoma and MAPK Pathways (8 papers) and Health Systems, Economic Evaluations, Quality of Life (7 papers). Daniel Widmer is often cited by papers focused on Health, Medicine and Society (10 papers), Melanoma and MAPK Pathways (8 papers) and Health Systems, Economic Evaluations, Quality of Life (7 papers). Daniel Widmer collaborates with scholars based in Switzerland, United States and Germany. Daniel Widmer's co-authors include J. G. Bednorz, A. Beck, Ch. Gerber, C. Rossel, Reinhard Dummer, Ossia M. Eichhoff, Alexander Bietsch, Yutaka Watanabe, Shalom J. Wind and G. I. Meijer and has published in prestigious journals such as Physical Review Letters, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel Widmer

85 papers receiving 3.8k citations

Hit Papers

Reproducible switching effect in thin oxide films for mem... 2000 2026 2008 2017 2000 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Widmer Switzerland 28 1.6k 1.1k 740 469 436 92 3.9k
Peilin Chen Taiwan 40 1.9k 1.2× 1.3k 1.2× 883 1.2× 894 1.9× 390 0.9× 161 5.4k
Jaehoon Chung United States 39 1.3k 0.8× 879 0.8× 2.0k 2.6× 365 0.8× 181 0.4× 113 5.7k
Xiaoxiao Zhu China 32 926 0.6× 812 0.7× 1.7k 2.3× 343 0.7× 165 0.4× 127 4.5k
James R. Matthews United States 30 966 0.6× 1.2k 1.1× 1.1k 1.5× 511 1.1× 116 0.3× 99 4.0k
Anna Herland Sweden 35 753 0.5× 572 0.5× 1.5k 2.1× 844 1.8× 127 0.3× 80 5.1k
Teresa C. Chen United States 49 1.6k 1.0× 729 0.7× 828 1.1× 619 1.3× 90 0.2× 168 9.7k
Yujian Zhang China 40 1.8k 1.2× 2.8k 2.5× 421 0.6× 581 1.2× 457 1.0× 171 4.7k
Yi Qi United States 32 351 0.2× 591 0.5× 663 0.9× 234 0.5× 386 0.9× 117 4.0k
Claudio Vinegoni United States 37 550 0.4× 455 0.4× 1.2k 1.7× 184 0.4× 88 0.2× 117 5.5k
Po‐Tsun Liu Taiwan 40 4.5k 2.9× 2.5k 2.3× 782 1.1× 938 2.0× 855 2.0× 308 6.9k

Countries citing papers authored by Daniel Widmer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Widmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Widmer

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Widmer. A scholar is included among the top collaborators of Daniel Widmer 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 Widmer. Daniel Widmer 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.
Mölken, Maureen Rutten‐van, Bernhard Wörmann, Daniel Widmer, et al.. (2025). Avoiding Error and Finding the Right Balance in European Health Technology Assessments: Insights Generated by the European Access Academy. Journal of Market Access & Health Policy. 13(1). 6–6.
2.
Rœsler, Christian & Daniel Widmer. (2023). Amalia Revisited—A Reanalysis of Amalia’s Dreams with the Method Structural Dream Analysis. Brain Sciences. 13(5). 796–796.
3.
Widmer, Daniel, et al.. (2022). Representations of personalised medicine in family medicine: a qualitative analysis. BMC Primary Care. 23(1). 37–37. 8 indexed citations
5.
Cohidon, Christine, et al.. (2021). Médecine personnalisée et prévention des maladies chroniques : l’attitude des médecins généralistes. Santé Publique. Vol. 33(1). 121–126. 5 indexed citations
6.
Widmer, Daniel, et al.. (2020). La médecine de famille face à la dépression chronique [Facing chronic depression in family practice]. SERVAL (Université de Lausanne). 1 indexed citations
7.
Stricker, Andres, Daniel Widmer, Boyko Gueorguiev, et al.. (2018). Finite Element Analysis and Biomechanical Testing to Analyze Fracture Displacement of Alveolar Ridge Splitting. BioMed Research International. 2018. 1–7. 9 indexed citations
8.
Widmer, Daniel, et al.. (2016). Multimorbidité et interprofessionnalité en médecine de famille [Interprofessionnal care and multimorbidity in family medicine]. SERVAL (Université de Lausanne). 1 indexed citations
9.
Huber, Roman, Barbara Meier, Atsushi Otsuka, et al.. (2016). Tumour hypoxia promotes melanoma growth and metastasis via High Mobility Group Box-1 and M2-like macrophages. Scientific Reports. 6(1). 29914–29914. 119 indexed citations
10.
Déruaz‐Luyet, Anouk, Alexandra N’Goran, Ryan Tandjung, et al.. (2015). Multimorbidity in primary care: protocol of a national cross-sectional study in Switzerland. BMJ Open. 5(10). e009165–e009165. 19 indexed citations
11.
Widmer, Daniel, Ossia M. Eichhoff, Reinhard Dummer, & Mitchell P. Levesque. (2015). Melanoma's next top model, it is in the air. Experimental Dermatology. 24(9). 659–660. 6 indexed citations
12.
Cheng, Phil F., Olga Shakhova, Daniel Widmer, et al.. (2015). Methylation-dependent SOX9 expression mediates invasion in human melanoma cells and is a negative prognostic factor in advanced melanoma. Genome Biology. 16(1). 42–42. 66 indexed citations
13.
Biedermann, Thomas, Sophie Böttcher‐Haberzeth, Agnes S. Klar, et al.. (2014). The Influence of Stromal Cells on the Pigmentation of Tissue-Engineered Dermo-Epidermal Skin Grafts. Tissue Engineering Part A. 21(5-6). 960–969. 23 indexed citations
14.
Widmer, Daniel, et al.. (2014). Prévention quaternaire : agir est-il toujours justifié en médecine de famille ?. Revue Médicale Suisse. 10(430). 1052–1056. 3 indexed citations
15.
Lörtscher, Emanuel, Daniel Widmer, & Bernd Gotsmann. (2013). Next-generation nanotechnology laboratories with simultaneous reduction of all relevant disturbances. Nanoscale. 5(21). 10542–10542. 27 indexed citations
16.
Herzig, Lilli, et al.. (2012). [b]L’avenir[/b] des soins primaires interprofessionnels dans un temps de crise. Revue Médicale Suisse. 8(364). 2254–2259. 1 indexed citations
17.
Böttcher‐Haberzeth, Sophie, Thomas Biedermann, Luca Pontiggia, et al.. (2012). Human Eccrine Sweat Gland Cells Turn into Melanin-Uptaking Keratinocytes in Dermo-Epidermal Skin Substitutes. Journal of Investigative Dermatology. 133(2). 316–324. 36 indexed citations
18.
Schneider, J, Thomas Biedermann, Daniel Widmer, et al.. (2008). Matriderm® versus Integra®: A comparative experimental study. Burns. 35(1). 51–57. 101 indexed citations
19.
Pontiggia, Luca, Thomas Biedermann, Martin Meuli, et al.. (2008). Markers to Evaluate the Quality and Self-Renewing Potential of Engineered Human Skin Substitutes In Vitro and after Transplantation. Journal of Investigative Dermatology. 129(2). 480–490. 117 indexed citations
20.
Beck, A., J. G. Bednorz, Ch. Gerber, C. Rossel, & Daniel Widmer. (2000). Reproducible switching effect in thin oxide films for memory applications. Applied Physics Letters. 77(1). 139–141. 928 indexed citations breakdown →

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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