Birgit Gaschler‐Markefski
- Pulmonary and Respiratory Medicine top 2%
- Oncology top 5%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Cancer Research top 10%
- Co-authors
- R. KaiserHenning ScheichJoachim von PawelJosé BarruecoMartin ReckAnders MellemgaardSilvia NovelloMaya Gottfried
- Topics
- Lung Cancer Treatments and Mutations (16 papers)Lung Cancer Diagnosis and Treatment (8 papers)Neural dynamics and brain function (7 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Birgit Gaschler‐Markefski
34 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Pulmonary and Respiratory Medicine 876
- Oncology 759
- Cognitive Neuroscience 468
- Molecular Biology 408
- Cancer Research 203
Countries citing papers authored by Birgit Gaschler‐Markefski
This map shows the geographic impact of Birgit Gaschler‐Markefski'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 Birgit Gaschler‐Markefski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Birgit Gaschler‐Markefski more than expected).
Fields of papers citing papers by Birgit Gaschler‐Markefski
This network shows the impact of papers produced by Birgit Gaschler‐Markefski. 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 Birgit Gaschler‐Markefski. The network helps show where Birgit Gaschler‐Markefski may publish in the future.
Co-authorship network of co-authors of Birgit Gaschler‐Markefski
This figure shows the co-authorship network connecting the top 25 collaborators of Birgit Gaschler‐Markefski. A scholar is included among the top collaborators of Birgit Gaschler‐Markefski 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 Birgit Gaschler‐Markefski. Birgit Gaschler‐Markefski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 10 | |
| 3 | 9 | |
| 4 | 44 | |
| 5 | 6 | |
| 6 | 71 | |
| 7 | 1 | |
| 8 | Docetaxel plus nintedanib versus docetaxel plus placebo in patients with previously treated non-small-cell lung cancer (LUME-Lung 1): a phase 3, double-blind, randomised controlled trialbreakdown → | 694 |
| 9 | 49 | |
| 10 | 7 | |
| 11 | 93 | |
| 12 | 51 | |
| 13 | 40 | |
| 14 | 65 | |
| 15 | 157 | |
| 16 | 63 | |
| 17 | 9 | |
| 18 | 101 | |
| 19 | 16 | |
| 20 | 30 |
About Birgit Gaschler‐Markefski
Birgit Gaschler‐Markefski is a scholar working on Pulmonary and Respiratory Medicine, Statistics and Probability and Cancer Research, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (16 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Neural dynamics and brain function (7 papers). The work is most often cited by research in Oncology (759 citations), Pulmonary and Respiratory Medicine (876 citations) and Cognitive Neuroscience (468 citations). Birgit Gaschler‐Markefski has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include R. Kaiser, Henning Scheich, Joachim von Pawel, José Barrueco, Martin Reck, Anders Mellemgaard, Silvia Novello, Maya Gottfried, Maciej Krzakowski and Igor Bondarenko. Their work appears in journals such as Journal of Clinical Oncology, The Lancet Oncology and Clinical Cancer Research.
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.