Nora Eisemann
- Dermatology top 1%
- Skin Protection and Aging 11
- Oncology top 5%
- Cutaneous Melanoma Detection and Management 29
- Global Cancer Incidence and Screening 10
- Colorectal Cancer Screening and Detection 4
- Immunology and Allergy top 5%
- Allergic Rhinitis and Sensitization 11
- Epidemiology top 5%
- Nonmelanoma Skin Cancer Studies 10
- Chronic Disease Management Strategies 4
- Data-Driven Disease Surveillance 4
- Health Informatics top 10%
- Co-authors
- Alexander KatalinicAnnika WaldmannEckhard W. BreitbartBeate VolkmerMartin A. WeinstockAlan C. GellerRuediger GreinertJoachim Hübner
- Journals
- JDDG Journal der Deutschen Dermatologischen Gesellschaft (11 papers)British Journal of Dermatology (3 papers)Quality of Life Research (2 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Nora Eisemann
67 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Dermatology 486
- Oncology 968
- Immunology and Allergy 117
- Epidemiology 560
- Health Informatics 19
Countries citing papers authored by Nora Eisemann
This map shows the geographic impact of Nora Eisemann'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 Nora Eisemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nora Eisemann more than expected).
Fields of papers citing papers by Nora Eisemann
This network shows the impact of papers produced by Nora Eisemann. 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 Nora Eisemann. The network helps show where Nora Eisemann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nora Eisemann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Nationwide real-world implementation of AI for cancer detection in population-based mammography screeningbreakdown → | 2025 | 48 |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 20 | |
| 12 | 2020 | 5 | |
| 13 | 2020 | 3 | |
| 14 | 2019 | 25 | |
| 15 | 2015 | 7 | |
| 16 | 2015 | 8 | |
| 17 | 2015 | 15 | |
| 18 | 2013 | 2 | |
| 19 | 2013 | 21 | |
| 20 | 2011 | 81 |
About Nora Eisemann
Nora Eisemann is a scholar working on Immunology and Allergy, Dermatology and Oncology, having authored 73 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (29 papers), Allergic Rhinitis and Sensitization (11 papers), Skin Protection and Aging (11 papers), Global Cancer Incidence and Screening (10 papers), Nonmelanoma Skin Cancer Studies (10 papers), Chronic Disease Management Strategies (4 papers), Colorectal Cancer Screening and Detection (4 papers) and Data-Driven Disease Surveillance (4 papers). The work is most often cited by research in Dermatology (486 citations), Oncology (968 citations) and Immunology and Allergy (117 citations). Nora Eisemann has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Alexander Katalinic, Annika Waldmann, Eckhard W. Breitbart, Beate Volkmer, Martin A. Weinstock, Alan C. Geller, Ruediger Greinert, Joachim Hübner, Maike Schnoor and Christiane Rudolph. Their work appears in journals such as JDDG Journal der Deutschen Dermatologischen Gesellschaft, British Journal of Dermatology, Quality of Life Research, British Journal of Cancer and Cancer.
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.