Tobias Peikert
- Pulmonary and Respiratory Medicine top 1%
- Oncology top 5%
- Rheumatology top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Physiology top 10%
- Co-authors
- Ulrich SpecksAaron S. MansfieldRodrigo Cartin‐CebaSteven R. YtterbergEunhee S. YiAnja C. RodenFabien MaldonadoGeorge Vasmatzis
- Topics
- Lung Cancer Diagnosis and Treatment (21 papers)Radiomics and Machine Learning in Medical Imaging (18 papers)Occupational and environmental lung diseases (17 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Tobias Peikert
95 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 108
- Pulmonary and Respiratory Medicine 2.1k
- Oncology 620
- Rheumatology 525
- Radiology, Nuclear Medicine and Imaging 408
- Physiology 348
Countries citing papers authored by Tobias Peikert
This map shows the geographic impact of Tobias Peikert'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 Tobias Peikert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Peikert more than expected).
Fields of papers citing papers by Tobias Peikert
This network shows the impact of papers produced by Tobias Peikert. 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 Tobias Peikert. The network helps show where Tobias Peikert may publish in the future.
Co-authorship network of co-authors of Tobias Peikert
This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Peikert. A scholar is included among the top collaborators of Tobias Peikert 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 Tobias Peikert. Tobias Peikert 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 | 0 | |
| 3 | 15 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 22 | |
| 9 | 96 | |
| 10 | 69 | |
| 11 | 105 | |
| 12 | 22 | |
| 13 | 43 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 73 | |
| 17 | 164 | |
| 18 | 7 | |
| 19 | 53 | |
| 20 | 46 |
About Tobias Peikert
Tobias Peikert is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 101 papers that have together received 3.0k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (21 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Occupational and environmental lung diseases (17 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.1k citations), Rheumatology (525 citations) and Genetics (263 citations). Tobias Peikert has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Ulrich Specks, Aaron S. Mansfield, Rodrigo Cartin‐Ceba, Steven R. Ytterberg, Eunhee S. Yi, Anja C. Roden, Fabien Maldonado, George Vasmatzis, Brian J. Bartholmai and Marie Christine Aubry. Their work appears in journals such as Journal of Clinical Oncology, Annals of Internal Medicine and The Journal of Immunology.
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.