John Apps
Impact in
- Aging top 10%
-
- Pituitary Gland Disorders and Treatments
Papers in
-
- Hedgehog Signaling Pathway Studies 7
- Renal and related cancers 6
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- Pituitary Gland Disorders and Treatments 13
- Co-authors
- Juan Pedro Martı́nez-Barberá (15 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)Maria Dimitriadi (1 shared paper)Catherine H. Wilson (1 shared paper)Andrew H. Wyllie (1 shared paper)
- Journals
- Neuro-Oncology (5 papers)Cancer Research (2 papers)Brain Pathology (2 papers)Pediatric Blood & Cancer (2 papers)Endocrine Related Cancer (2 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
John Apps
35 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 83
- Aging 23
- Endocrinology, Diabetes and Metabolism 193
- Genetics 121
- Neurology 119
- Molecular Biology 577
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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 207 | |
| 2 | 2018 | 137 | |
| 3 | 2014 | 118 | |
| 4 | 2017 | 90 | |
| 5 | 2015 | 79 | |
| 6 | 2016 | 55 | |
| 7 | 2017 | 51 | |
| 8 | 2017 | 45 | |
| 9 | 2022 | 35 | |
| 10 | 2016 | 33 | |
| 11 | 2019 | 29 | |
| 12 | 2017 | 25 | |
| 13 | 2017 | 17 | |
| 14 | 2013 | 17 | |
| 15 | 2018 | 15 | |
| 16 | 2009 | 14 | |
| 17 | 2017 | 12 | |
| 18 | 2012 | 12 | |
| 19 | 2013 | 11 | |
| 20 | 2019 | 11 |
About John Apps
John Apps is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Surgery and Neurology, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (13 papers), Glioma Diagnosis and Treatment (10 papers), Hedgehog Signaling Pathway Studies (7 papers), Renal and related cancers (6 papers), Cancer, Hypoxia, and Metabolism (4 papers), Bone Tumor Diagnosis and Treatments (3 papers), Neuroblastoma Research and Treatments (2 papers) and Eosinophilic Esophagitis (2 papers). The work is most often cited by research in Aging (23 citations), Endocrinology, Diabetes and Metabolism (193 citations), Genetics (121 citations), Neurology (119 citations) and Molecular Biology (577 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, Maria Dimitriadi, Catherine H. Wilson, Andrew H. Wyllie, Mark J. Arends and Feijun Luo. Their work appears in journals such as Neuro-Oncology, Cancer Research, Brain Pathology, Pediatric Blood & Cancer and Endocrine Related 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.