Janine Gote-Schniering
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging top 10%
- Pathology and Forensic Medicine
- Immunology
- Co-authors
- Britta MaurerDana Pe’erBernhard ReuterHeiko LickertManu SettyMichal KleinVolker BergenMarius Lange
- Topics
- Radiomics and Machine Learning in Medical Imaging (11 papers)Systemic Sclerosis and Related Diseases (10 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Janine Gote-Schniering
23 papers receiving 695 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 337
- Pulmonary and Respiratory Medicine 170
- Radiology, Nuclear Medicine and Imaging 113
- Pathology and Forensic Medicine 111
- Immunology 99
Countries citing papers authored by Janine Gote-Schniering
This map shows the geographic impact of Janine Gote-Schniering'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 Janine Gote-Schniering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janine Gote-Schniering more than expected).
Fields of papers citing papers by Janine Gote-Schniering
This network shows the impact of papers produced by Janine Gote-Schniering. 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 Janine Gote-Schniering. The network helps show where Janine Gote-Schniering may publish in the future.
Co-authorship network of co-authors of Janine Gote-Schniering
This figure shows the co-authorship network connecting the top 25 collaborators of Janine Gote-Schniering. A scholar is included among the top collaborators of Janine Gote-Schniering 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 Janine Gote-Schniering. Janine Gote-Schniering is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 88 | |
| 10 | CellRank for directed single-cell fate mappingbreakdown → | 282 |
| 11 | 5 | |
| 12 | 55 | |
| 13 | 41 | |
| 14 | 35 | |
| 15 | 28 | |
| 16 | 5 | |
| 17 | 21 | |
| 18 | 23 | |
| 19 | 25 | |
| 20 | 9 |
About Janine Gote-Schniering
Janine Gote-Schniering is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 698 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Systemic Sclerosis and Related Diseases (10 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers). The work is most often cited by research in Biophysics (48 citations), Pathology and Forensic Medicine (111 citations) and Pulmonary and Respiratory Medicine (170 citations). Janine Gote-Schniering has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Britta Maurer, Dana Pe’er, Bernhard Reuter, Heiko Lickert, Manu Setty, Michal Klein, Volker Bergen, Marius Lange, Herbert B. Schiller and Meshal Ansari. Their work appears in journals such as ACS Nano, Nature Methods and Scientific Reports.
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.