Ryan T. Bishop
Impact in
- Parasitology top 10%
- Vector-borne infectious diseases
-
- NF-κB Signaling Pathways
Papers in
-
- Bone Metabolism and Diseases 10
- Histone Deacetylase Inhibitors Research 3
- Ubiquitin and proteasome pathways 2
- Oncology 14
- Bone health and treatments 9
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Silvia Marino (13 shared papers)Aymen I. Idris (12 shared papers)Mattia Capulli (5 shared papers)Torsten Pietsch (1 shared paper)Kathryn R. Taylor (1 shared paper)Florence I. Raynaud (1 shared paper)Sharon Gowan (1 shared paper)Jane Renshaw (1 shared paper)
- Journals
- Cancer Letters (4 papers)Cancer Research (3 papers)Scientific Reports (2 papers)Haematologica (2 papers)Calcified Tissue International (2 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Ryan T. Bishop
22 papers receiving 415 citations
Peers
Comparison fields: 5 of 68
- Parasitology 44
- Cancer Research 88
- Oncology 146
- Immunology 75
- Molecular Biology 214
Countries citing papers authored by Ryan T. Bishop
This map shows the geographic impact of Ryan T. Bishop'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 Ryan T. Bishop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan T. Bishop more than expected).
Fields of papers citing papers by Ryan T. Bishop
This network shows the impact of papers produced by Ryan T. Bishop. 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 Ryan T. Bishop. The network helps show where Ryan T. Bishop may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan T. Bishop, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 110 | |
| 2 | 2008 | 52 | |
| 3 | 2023 | 44 | |
| 4 | 2019 | 37 | |
| 5 | 2018 | 28 | |
| 6 | 2019 | 24 | |
| 7 | 2020 | 23 | |
| 8 | 2019 | 19 | |
| 9 | 2019 | 19 | |
| 10 | 2017 | 12 | |
| 11 | 2022 | 10 | |
| 12 | 2024 | 8 | |
| 13 | 2018 | 6 | |
| 14 | 2018 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2023 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2016 | 1 |
About Ryan T. Bishop
Ryan T. Bishop is a scholar working on Molecular Biology, Oncology, Cancer Research, Hematology and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 417 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (10 papers), Bone health and treatments (9 papers), NF-κB Signaling Pathways (8 papers), Multiple Myeloma Research and Treatments (5 papers), Histone Deacetylase Inhibitors Research (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Prostate Cancer Treatment and Research (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Parasitology (44 citations), Cancer Research (88 citations), Oncology (146 citations), Immunology (75 citations) and Molecular Biology (214 citations). Ryan T. Bishop has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Silvia Marino, Aymen I. Idris, Mattia Capulli, Torsten Pietsch, Kathryn R. Taylor, Florence I. Raynaud, Sharon Gowan, Jane Renshaw, Alexis de Haven Brandon and Janet Shipley. Their work appears in journals such as Cancer Letters, Cancer Research, Scientific Reports, Haematologica and Calcified Tissue International.
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.