Gerald Spöttl
- Oncology top 10%
- Lung Cancer Research Studies 7
- Pancreatic and Hepatic Oncology Research 4
- Cytokine Signaling Pathways and Interactions 3
- Neurology top 10%
- Neuroblastoma Research and Treatments 9
- Epidemiology top 10%
- Neuroendocrine Tumor Research Advances 13
- Reproductive Medicine top 10%
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- PI3K/AKT/mTOR signaling in cancer 3
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- Growth Hormone and Insulin-like Growth Factors 3
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Christoph J. AuernhammerBurkhard GökeKathrin ZitzmannStephan BrandSvenja NöltingEnrico N. De ToniJulian MaurerHeinrich H.D. Meyer
- Cited by
- OncologyNeurologyEpidemiology
- Journals
- Neuroendocrinology (5 papers)European Journal of Endocrinology (3 papers)Endocrine Related Cancer (3 papers)
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Gerald Spöttl
25 papers receiving 756 citations
Peers
Comparison fields: 5 of 64
- Oncology 373
- Neurology 170
- Epidemiology 334
- Reproductive Medicine 59
- Immunology 135
Countries citing papers authored by Gerald Spöttl
This map shows the geographic impact of Gerald Spöttl'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 Gerald Spöttl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Spöttl more than expected).
Fields of papers citing papers by Gerald Spöttl
This network shows the impact of papers produced by Gerald Spöttl. 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 Gerald Spöttl. The network helps show where Gerald Spöttl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gerald Spöttl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 6 | |
| 2 | 2019 | 36 | |
| 3 | 2018 | 19 | |
| 4 | 2018 | 6 | |
| 5 | 2017 | 9 | |
| 6 | 2016 | 25 | |
| 7 | 2015 | 17 | |
| 8 | 2015 | 16 | |
| 9 | 2013 | 14 | |
| 10 | 2012 | 26 | |
| 11 | 2010 | 114 | |
| 12 | 2008 | 10 | |
| 13 | 2007 | 133 | |
| 14 | 2006 | 100 | |
| 15 | 1999 | 19 | |
| 16 | 1994 | 35 | |
| 17 | 1993 | 29 | |
| 18 | 1992 | 1 | |
| 19 | 1990 | 49 | |
| 20 | 1985 | 2 |
About Gerald Spöttl
Gerald Spöttl is a scholar working on Neurology, Oncology and Epidemiology, having authored 25 papers that have together received 775 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (13 papers), Neuroblastoma Research and Treatments (9 papers), Lung Cancer Research Studies (7 papers), Pancreatic and Hepatic Oncology Research (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Oncology (373 citations), Neurology (170 citations) and Epidemiology (334 citations). Gerald Spöttl has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Christoph J. Auernhammer, Burkhard Göke, Kathrin Zitzmann, Stephan Brand, Svenja Nölting, Enrico N. De Toni, Julian Maurer, Heinrich H.D. Meyer, K. Mann and Bernhard Saller. Their work appears in journals such as Neuroendocrinology, European Journal of Endocrinology, Endocrine Related Cancer, Cancers and PLoS ONE.
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.