Alexander Ney
Impact in
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
-
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
Papers in
- Co-authors
- Stephen P. Pereira (10 shared papers)William Greenhalf (3 shared papers)Eithne Costello (4 shared papers)Christopher V. Almario (1 shared paper)Christie Y. Jeon (1 shared paper)Eugene J. Koay (1 shared paper)Stephen J. Pandol (1 shared paper)Margaret G. Keane (1 shared paper)
- Journals
- Cancers (2 papers)Frontiers in Oncology (1 paper)PLoS Medicine (1 paper)Journal of Clinical Medicine (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United KingdomUnited StatesRussia
In The Last Decade
Alexander Ney
12 papers receiving 472 citations
Alexander Ney's Hit Papers
Peers
Comparison fields: 5 of 71
- Oncology 302
- Cancer Research 150
- Health Informatics 10
- Radiology, Nuclear Medicine and Imaging 77
- Health Information Management 15
Countries citing papers authored by Alexander Ney
This map shows the geographic impact of Alexander Ney'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 Alexander Ney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Ney more than expected).
Fields of papers citing papers by Alexander Ney
This network shows the impact of papers produced by Alexander Ney. 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 Alexander Ney. The network helps show where Alexander Ney may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Ney, 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 | Early detection of pancreatic cancer Hit paper breakdown → | 2020 | 323 |
| 2 | 2020 | 53 | |
| 3 | 2021 | 32 | |
| 4 | Expression of cardiac troponin T isoforms in skeletal muscle of renal disease patients will not cause false-positive serum results by the second generation cardiac troponin T assay. | 1998 | 20 |
| 5 | 2023 | 13 | |
| 6 | 2023 | 12 | |
| 7 | 2020 | 12 | |
| 8 | 2021 | 7 | |
| 9 | 2014 | 5 | |
| 10 | 2019 | 4 | |
| 11 | 2022 | 1 | |
| 12 | 2019 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2023 | 0 |
About Alexander Ney
Alexander Ney is a scholar working on Oncology, Surgery, Epidemiology, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 483 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (10 papers), Cancer Genomics and Diagnostics (4 papers), Pancreatitis Pathology and Treatment (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Colorectal Cancer Screening and Detection (3 papers), Gastrointestinal disorders and treatments (2 papers), Hormonal Regulation and Hypertension (2 papers) and Esophageal and GI Pathology (1 paper). The work is most often cited by research in Oncology (302 citations), Cancer Research (150 citations), Health Informatics (10 citations), Radiology, Nuclear Medicine and Imaging (77 citations) and Health Information Management (15 citations). Alexander Ney has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include Stephen P. Pereira, William Greenhalf, Eithne Costello, Christopher V. Almario, Christie Y. Jeon, Eugene J. Koay, Stephen J. Pandol, Margaret G. Keane, Anne Marie Lennon and Christopher Halloran. Their work appears in journals such as Cancers, Frontiers in Oncology, PLoS Medicine, Journal of Clinical Medicine and PLoS Computational 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.