John Apps
Impact in
Papers in
-
- Renal and related cancers 6
- Hedgehog Signaling Pathway Studies 5
- Genetics 12
- Glioma Diagnosis and Treatment 11
- Co-authors
- Juan Pedro Martı́nez-Barberá (12 shared papers)Kathy Pritchard‐Jones (6 shared papers)José Mario González-Meljem (6 shared papers)Elwira Szychot (2 shared papers)David J. Adams (2 shared papers)Lewis C. Cantley (1 shared paper)Mark J. Arends (1 shared paper)Andrew H. Wyllie (1 shared paper)
- Journals
- Neuro-Oncology (4 papers)Endocrine Related Cancer (2 papers)Brain Pathology (2 papers)Cancer Research (2 papers)Pediatric Blood & Cancer (2 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
John Apps
30 papers receiving 971 citations
Peers
Comparison fields: 5 of 84
- Genetics 152
- Aging 22
- Endocrinology, Diabetes and Metabolism 166
- Molecular Biology 590
- Neurology 130
Countries citing papers authored by John Apps
This map shows the geographic impact of John Apps'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 John Apps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Apps more than expected).
Fields of papers citing papers by John Apps
This network shows the impact of papers produced by John Apps. 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 John Apps. The network helps show where John Apps may publish in the future.
Co-authors
The 25 scholars most cited alongside John Apps, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 202 | |
| 2 | 2018 | 129 | |
| 3 | 2014 | 115 | |
| 4 | 2017 | 84 | |
| 5 | 2015 | 76 | |
| 6 | 2016 | 54 | |
| 7 | 2017 | 48 | |
| 8 | 2017 | 40 | |
| 9 | 2022 | 34 | |
| 10 | 2016 | 28 | |
| 11 | 2019 | 24 | |
| 12 | 2017 | 24 | |
| 13 | 2013 | 17 | |
| 14 | 2017 | 14 | |
| 15 | 2009 | 14 | |
| 16 | 2018 | 14 | |
| 17 | 2019 | 11 | |
| 18 | 2012 | 10 | |
| 19 | 2017 | 9 | |
| 20 | 2013 | 9 |
About John Apps
John Apps is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Surgery and Neurology, having authored 38 papers that have together received 982 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), Pituitary Gland Disorders and Treatments (10 papers), Renal and related cancers (6 papers), Hedgehog Signaling Pathway Studies (5 papers), Cancer, Hypoxia, and Metabolism (3 papers), Ethics and Legal Issues in Pediatric Healthcare (2 papers), Cancer Genomics and Diagnostics (2 papers) and Meningioma and schwannoma management (2 papers). The work is most often cited by research in Genetics (152 citations), Aging (22 citations), Endocrinology, Diabetes and Metabolism (166 citations), Molecular Biology (590 citations) and Neurology (130 citations). John Apps has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Juan Pedro Martı́nez-Barberá, Kathy Pritchard‐Jones, José Mario González-Meljem, Elwira Szychot, David J. Adams, Lewis C. Cantley, Mark J. Arends, Andrew H. Wyllie, Rebecca E. McIntyre and Koichi Ichimura. Their work appears in journals such as Neuro-Oncology, Endocrine Related Cancer, Brain Pathology, Cancer Research and Pediatric Blood & Cancer.
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.