Daniela Kugelmann
Impact in
- General Dentistry top 5%
- Human-Computer Interaction top 5%
- Virtual Reality Applications and Impacts
Papers in
- Genetics 8
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 8
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- Autoimmune Bullous Skin Diseases 8
- Co-authors
- Jens Waschke (25 shared papers)Mariya Y. Radeva (9 shared papers)Felix Bork (4 shared papers)Nassir Navab (4 shared papers)Franziska Vielmuth (11 shared papers)Ulrich Eck (3 shared papers)Volker Spindler (6 shared papers)Desalegn Tadesse Egu (6 shared papers)
- Journals
- Frontiers in Immunology (5 papers)Anatomical Sciences Education (3 papers)Cellular and Molecular Life Sciences (3 papers)Scientific Reports (2 papers)Annals of Anatomy - Anatomischer Anzeiger (2 papers)
- Partner nations
- GermanyJapanSwitzerland
In The Last Decade
Daniela Kugelmann
29 papers receiving 649 citations
Peers
Comparison fields: 5 of 111
- General Dentistry 30
- Human-Computer Interaction 57
- Genetics 107
- Pathology and Forensic Medicine 138
- Computer Vision and Pattern Recognition 146
Countries citing papers authored by Daniela Kugelmann
This map shows the geographic impact of Daniela Kugelmann'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 Daniela Kugelmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Kugelmann more than expected).
Fields of papers citing papers by Daniela Kugelmann
This network shows the impact of papers produced by Daniela Kugelmann. 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 Daniela Kugelmann. The network helps show where Daniela Kugelmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Kugelmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 112 | |
| 2 | 2017 | 81 | |
| 3 | 2017 | 50 | |
| 4 | 2020 | 49 | |
| 5 | 2018 | 45 | |
| 6 | 2017 | 43 | |
| 7 | 2014 | 39 | |
| 8 | 2014 | 31 | |
| 9 | 2019 | 26 | |
| 10 | 2019 | 26 | |
| 11 | 2019 | 25 | |
| 12 | 2023 | 22 | |
| 13 | 2015 | 20 | |
| 14 | 2020 | 15 | |
| 15 | 2022 | 13 | |
| 16 | 2019 | 13 | |
| 17 | 2022 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2022 | 7 |
About Daniela Kugelmann
Daniela Kugelmann is a scholar working on Genetics, Pathology and Forensic Medicine, Molecular Biology, Biomedical Engineering and Cell Biology, having authored 31 papers that have together received 667 indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (8 papers), Autoimmune Bullous Skin Diseases (8 papers), Anatomy and Medical Technology (6 papers), Cellular Mechanics and Interactions (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Barrier Structure and Function Studies (4 papers), Augmented Reality Applications (4 papers) and Urticaria and Related Conditions (3 papers). The work is most often cited by research in General Dentistry (30 citations), Human-Computer Interaction (57 citations), Genetics (107 citations), Pathology and Forensic Medicine (138 citations) and Computer Vision and Pattern Recognition (146 citations). Daniela Kugelmann has collaborated with scholars based in Germany, Japan and Switzerland. Frequent co-authors include Jens Waschke, Mariya Y. Radeva, Felix Bork, Nassir Navab, Franziska Vielmuth, Ulrich Eck, Volker Spindler, Desalegn Tadesse Egu, Elias Walter and Alexander García‐Ponce. Their work appears in journals such as Frontiers in Immunology, Anatomical Sciences Education, Cellular and Molecular Life Sciences, Scientific Reports and Annals of Anatomy - Anatomischer Anzeiger.
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.