P. Gais
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
- Lung Cancer Research Studies
- Biophysics top 5%
Papers in
- Oncology 11
- Lung Cancer Research Studies 4
- Co-authors
- Uta Jütting (27 shared papers)Heinz Höfler (8 shared papers)Karsten Rodenacker (19 shared papers)Axel Walch (4 shared papers)Sandra Rauser (3 shared papers)Marcus Feith (4 shared papers)Martin Werner (2 shared papers)Karin Bink (3 shared papers)
- Journals
- Analytical Cellular Pathology (3 papers)Cytometry (3 papers)Image Analysis & Stereology (3 papers)European Journal of Surgical Oncology (2 papers)Radiation Measurements (2 papers)
- Partner nations
- GermanyNetherlandsSwitzerland
In The Last Decade
P. Gais
49 papers receiving 937 citations
Peers
Comparison fields: 5 of 122
- Oncology 273
- Biophysics 52
- Cell Biology 148
- Pulmonary and Respiratory Medicine 168
- Gastroenterology 28
Countries citing papers authored by P. Gais
This map shows the geographic impact of P. Gais'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 P. Gais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Gais more than expected).
Fields of papers citing papers by P. Gais
This network shows the impact of papers produced by P. Gais. 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 P. Gais. The network helps show where P. Gais may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Gais, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 169 | |
| 2 | 1996 | 57 | |
| 3 | 1991 | 56 | |
| 4 | 2005 | 50 | |
| 5 | 2010 | 47 | |
| 6 | 2003 | 46 | |
| 7 | 2007 | 40 | |
| 8 | 1991 | 36 | |
| 9 | 2006 | 34 | |
| 10 | 2008 | 31 | |
| 11 | 1994 | 25 | |
| 12 | 1996 | 21 | |
| 13 | 1979 | 21 | |
| 14 | 2000 | 20 | |
| 15 | 2004 | 18 | |
| 16 | 2008 | 17 | |
| 17 | Prognostic value of quantitatively measured AgNORs in ductal mammary carcinoma. | 1994 | 17 |
| 18 | 1993 | 16 | |
| 19 | 1993 | 15 | |
| 20 | 1982 | 14 |
About P. Gais
P. Gais is a scholar working on Molecular Biology, Oncology, Surgery, Physiology and Epidemiology, having authored 49 papers that have together received 963 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Lung Cancer Research Studies (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Nerve injury and regeneration (3 papers), Asthma and respiratory diseases (3 papers), Microtubule and mitosis dynamics (3 papers) and Digital Imaging for Blood Diseases (3 papers). The work is most often cited by research in Oncology (273 citations), Biophysics (52 citations), Cell Biology (148 citations), Pulmonary and Respiratory Medicine (168 citations) and Gastroenterology (28 citations). P. Gais has collaborated with scholars based in Germany, Netherlands and Switzerland. Frequent co-authors include Uta Jütting, Heinz Höfler, Karsten Rodenacker, Axel Walch, Sandra Rauser, Marcus Feith, Martin Werner, Karin Bink, Anja Pickhard and Rudolf Reiter. Their work appears in journals such as Analytical Cellular Pathology, Cytometry, Image Analysis & Stereology, European Journal of Surgical Oncology and Radiation Measurements.
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.