Claudia Schmoor
- Pulmonary and Respiratory Medicine top 2%
- Surgery top 5%
- Oncology top 5%
- Molecular Biology top 10%
- Hematology top 1%
- Co-authors
- Martin SchumacherWilli SauerbreiErika GrafM. SchumacherWolfram WindischManfred OlschewskiJan Hendrik StorreJürgen Finke
- Topics
- Breast Cancer Treatment Studies (24 papers)Respiratory Support and Mechanisms (19 papers)Statistical Methods in Clinical Trials (18 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Claudia Schmoor
149 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Pulmonary and Respiratory Medicine 1.3k
- Surgery 966
- Oncology 936
- Molecular Biology 889
- Hematology 699
Countries citing papers authored by Claudia Schmoor
This map shows the geographic impact of Claudia Schmoor'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 Claudia Schmoor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Schmoor more than expected).
Fields of papers citing papers by Claudia Schmoor
This network shows the impact of papers produced by Claudia Schmoor. 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 Claudia Schmoor. The network helps show where Claudia Schmoor may publish in the future.
Co-authorship network of co-authors of Claudia Schmoor
This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Schmoor. A scholar is included among the top collaborators of Claudia Schmoor 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 Claudia Schmoor. Claudia Schmoor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | Prospective randomized multicenter phase III trial comparing perioperative chemotherapy (FLOT protocol) to neoadjuvant chemoradiation (CROSS protocol) in patients with adenocarcinoma of the esophagus (ESOPEC trial).breakdown → | 37 |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 61 | |
| 11 | 10 | |
| 12 | 19 | |
| 13 | Predictors of Prognosis and Treatment Outcome in Central Retinal Artery Occlusion: results of the randomized multicenter EAGLE trial | 1 |
| 14 | 12 | |
| 15 | 67 | |
| 16 | 3 | |
| 17 | 28 | |
| 18 | Prospektive, offene multizentrische Phase-IV-Studie zur Wirksamkeit und Verträglichkeit von Tibolon bei postmenopausalen Beschwerden | 1 |
| 19 | 39 | |
| 20 | 37 |
About Claudia Schmoor
Claudia Schmoor is a scholar working on Statistics and Probability, Hematology and Cancer Research, having authored 160 papers that have together received 5.6k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (24 papers), Respiratory Support and Mechanisms (19 papers) and Statistical Methods in Clinical Trials (18 papers). The work is most often cited by research in Statistics and Probability (663 citations), Hematology (699 citations) and Ophthalmology (413 citations). Claudia Schmoor has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Martin Schumacher, Willi Sauerbrei, Erika Graf, M. Schumacher, Wolfram Windisch, Manfred Olschewski, Jan Hendrik Storre, Jürgen Finke, Michael Dreher and Hartmut Bertz. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.
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.