Alexander Ney
Impact in
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
-
- Cancer Genomics and Diagnostics
Papers in
- Co-authors
- Stephen P. Pereira (10 shared papers)William Greenhalf (3 shared papers)Eithne Costello (4 shared papers)Christopher Halloran (1 shared paper)Christopher V. Almario (1 shared paper)Debiao Li (1 shared paper)Stephen J. Pandol (1 shared paper)Eugene J. Koay (1 shared paper)
- Journals
- Cancers (2 papers)The Lancet. Gastroenterology & hepatology (1 paper)PLoS Computational Biology (1 paper)Frontiers in Oncology (1 paper)PLoS Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesRussia
In The Last Decade
Alexander Ney
13 papers receiving 515 citations
Alexander Ney's Hit Papers
Peers
Comparison fields: 5 of 71
- Oncology 277
- Cancer Research 107
- Health Informatics 9
- Radiology, Nuclear Medicine and Imaging 68
- Health Information Management 13
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 | 344 |
| 2 | 2020 | 59 | |
| 3 | 2021 | 33 | |
| 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 | 22 |
| 5 | 2023 | 17 | |
| 6 | 2023 | 17 | |
| 7 | 2020 | 14 | |
| 8 | 2021 | 9 | |
| 9 | 2014 | 5 | |
| 10 | 2019 | 4 | |
| 11 | 2024 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2019 | 1 | |
| 14 | 2023 | 0 |
About Alexander Ney
Alexander Ney is a scholar working on Oncology, Surgery, Epidemiology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 14 papers that have together received 527 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (9 papers), Neuroendocrine Tumor Research Advances (3 papers), Cancer Genomics and Diagnostics (2 papers), Gastrointestinal disorders and treatments (2 papers), Pancreatitis Pathology and Treatment (2 papers), Hormonal Regulation and Hypertension (2 papers), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Oncology (277 citations), Cancer Research (107 citations), Health Informatics (9 citations), Radiology, Nuclear Medicine and Imaging (68 citations) and Health Information Management (13 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 Halloran, Christopher V. Almario, Debiao Li, Stephen J. Pandol, Eugene J. Koay, Anne Marie Lennon and Lucy Oldfield. Their work appears in journals such as Cancers, The Lancet. Gastroenterology & hepatology, PLoS Computational Biology, Frontiers in Oncology and PLoS Medicine.
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.