Kosmas Daskalakis
Impact in
- Neurology top 5%
- Neuroblastoma Research and Treatments
- Epidemiology top 5%
- Neuroendocrine Tumor Research Advances
Papers in
- Epidemiology 29
- Neuroendocrine Tumor Research Advances 29
- Oncology 20
- Lung Cancer Research Studies 16
- Pancreatic and Hepatic Oncology Research 6
- Co-authors
- Gregory Kaltsas (26 shared papers)Andreas Karakatsanis (7 shared papers)Peter Stålberg (7 shared papers)Marina Tsoli (18 shared papers)Olov Norlén (6 shared papers)Krystallenia Alexandraki (12 shared papers)Per Hellman (6 shared papers)Lars Påhlman (1 shared paper)
- Journals
- Journal of Neuroendocrinology (5 papers)Neuroendocrinology (5 papers)Cancers (4 papers)Hormone and Metabolic Research (2 papers)Biology (2 papers)
- Partner nations
- SwedenGreeceUnited Kingdom
In The Last Decade
Kosmas Daskalakis
45 papers receiving 757 citations
Peers
Comparison fields: 5 of 68
- Neurology 216
- Epidemiology 431
- Oncology 305
- Gastroenterology 39
- Cancer Research 102
Countries citing papers authored by Kosmas Daskalakis
This map shows the geographic impact of Kosmas Daskalakis'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 Kosmas Daskalakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kosmas Daskalakis more than expected).
Fields of papers citing papers by Kosmas Daskalakis
This network shows the impact of papers produced by Kosmas Daskalakis. 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 Kosmas Daskalakis. The network helps show where Kosmas Daskalakis may publish in the future.
Co-authors
The 25 scholars most cited alongside Kosmas Daskalakis, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 98 | |
| 2 | 2017 | 74 | |
| 3 | 2016 | 63 | |
| 4 | 2017 | 56 | |
| 5 | 2013 | 54 | |
| 6 | 2019 | 48 | |
| 7 | 2021 | 39 | |
| 8 | 2019 | 36 | |
| 9 | 2020 | 24 | |
| 10 | 2016 | 21 | |
| 11 | 2019 | 21 | |
| 12 | 2021 | 18 | |
| 13 | 2019 | 16 | |
| 14 | Disclosure of cancer diagnosis: the Greek experience. | 2013 | 16 |
| 15 | 2019 | 14 | |
| 16 | 2018 | 14 | |
| 17 | 2021 | 14 | |
| 18 | 2013 | 13 | |
| 19 | 2020 | 12 | |
| 20 | 2019 | 12 |
About Kosmas Daskalakis
Kosmas Daskalakis is a scholar working on Epidemiology, Oncology, Neurology, Surgery and Cancer Research, having authored 47 papers that have together received 765 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (29 papers), Lung Cancer Research Studies (16 papers), Neuroblastoma Research and Treatments (13 papers), Pancreatic and Hepatic Oncology Research (6 papers), Breast Cancer Treatment Studies (4 papers), Intraperitoneal and Appendiceal Malignancies (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Neurology (216 citations), Epidemiology (431 citations), Oncology (305 citations), Gastroenterology (39 citations) and Cancer Research (102 citations). Kosmas Daskalakis has collaborated with scholars based in Sweden, Greece and United Kingdom. Frequent co-authors include Gregory Kaltsas, Andreas Karakatsanis, Peter Stålberg, Marina Tsoli, Olov Norlén, Krystallenia Alexandraki, Per Hellman, Lars Påhlman, Claes Juhlin and Göran Wallin. Their work appears in journals such as Journal of Neuroendocrinology, Neuroendocrinology, Cancers, Hormone and Metabolic Research and Biology.
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.