Gian Kayser
Impact in
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
- Biophysics top 2%
- Cell Image Analysis Techniques
Papers in
- Oncology 36
- Lung Cancer Research Studies 10
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- Medical Imaging and Pathology Studies 11
- Lung Cancer Treatments and Mutations 10
- Lung Cancer Diagnosis and Treatment 8
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 8
- Co-authors
- Klaus Kayser (65 shared papers)Martin Werner (32 shared papers)Bernward Passlick (23 shared papers)Gerd Jürgen Ridder (10 shared papers)Hans‐Joachim Gabius (14 shared papers)Axel zur Hausen (8 shared papers)Jens Pfeiffer (7 shared papers)Elmar Stickeler (8 shared papers)
- Journals
- Diagnostic Pathology (26 papers)Otolaryngology (5 papers)Analytical Cellular Pathology (5 papers)European Journal of Cardio-Thoracic Surgery (3 papers)Lung Cancer (3 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Gian Kayser
168 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 137
- Oncology 764
- Biophysics 157
- Cancer Research 309
- Pulmonary and Respiratory Medicine 507
- Otorhinolaryngology 64
Countries citing papers authored by Gian Kayser
This map shows the geographic impact of Gian Kayser'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 Gian Kayser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gian Kayser more than expected).
Fields of papers citing papers by Gian Kayser
This network shows the impact of papers produced by Gian Kayser. 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 Gian Kayser. The network helps show where Gian Kayser may publish in the future.
Co-authors
The 25 scholars most cited alongside Gian Kayser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 175 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 156 | |
| 2 | 2009 | 117 | |
| 3 | 2022 | 73 | |
| 4 | 1998 | 73 | |
| 5 | 2001 | 71 | |
| 6 | 2007 | 65 | |
| 7 | 2010 | 64 | |
| 8 | 1997 | 53 | |
| 9 | 2006 | 51 | |
| 10 | 2010 | 51 | |
| 11 | 2011 | 49 | |
| 12 | 2016 | 49 | |
| 13 | 2012 | 48 | |
| 14 | 2013 | 48 | |
| 15 | 2010 | 46 | |
| 16 | 2007 | 45 | |
| 17 | 2008 | 43 | |
| 18 | 2009 | 43 | |
| 19 | 2009 | 42 | |
| 20 | 2013 | 42 |
About Gian Kayser
Gian Kayser is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 175 papers that have together received 3.0k indexed citations. Recurring topics across this work include AI in cancer detection (30 papers), Medical Imaging and Pathology Studies (11 papers), Lung Cancer Treatments and Mutations (10 papers), Lung Cancer Research Studies (10 papers), Cancer, Hypoxia, and Metabolism (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers). The work is most often cited by research in Oncology (764 citations), Biophysics (157 citations), Cancer Research (309 citations), Pulmonary and Respiratory Medicine (507 citations) and Otorhinolaryngology (64 citations). Gian Kayser has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Klaus Kayser, Martin Werner, Bernward Passlick, Gerd Jürgen Ridder, Hans‐Joachim Gabius, Axel zur Hausen, Jens Pfeiffer, Elmar Stickeler, Ekkehard Vollmer and Torsten Goldmann. Their work appears in journals such as Diagnostic Pathology, Otolaryngology, Analytical Cellular Pathology, European Journal of Cardio-Thoracic Surgery and Lung 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.