Christopher P. Venner
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Nephrology top 2%
- Parathyroid Disorders and Treatments
Papers in
- Hematology 73
- Multiple Myeloma Research and Treatments 69
- Chronic Myeloid Leukemia Treatments 6
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- Protein Degradation and Inhibitors 33
- Amyloidosis: Diagnosis, Treatment, Outcomes 20
- Co-authors
- Ashutosh Wechalekar (17 shared papers)Philip N. Hawkins (16 shared papers)Helen J. Lachmann (16 shared papers)Julian D. Gillmore (16 shared papers)Simon Gibbs (15 shared papers)Carol Whelan (11 shared papers)Jennifer H. Pinney (11 shared papers)Sanjay M Banypersad (7 shared papers)
- Journals
- Blood (41 papers)Journal of Clinical Oncology (10 papers)British Journal of Haematology (5 papers)Haematologica (4 papers)European Journal Of Haematology (4 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Christopher P. Venner
90 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 66
- Hematology 485
- Nephrology 235
- Genetics 245
- Molecular Biology 1.3k
- Oncology 359
Countries citing papers authored by Christopher P. Venner
This map shows the geographic impact of Christopher P. Venner'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 Christopher P. Venner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher P. Venner more than expected).
Fields of papers citing papers by Christopher P. Venner
This network shows the impact of papers produced by Christopher P. Venner. 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 Christopher P. Venner. The network helps show where Christopher P. Venner may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher P. Venner, 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 277 | |
| 2 | 2012 | 199 | |
| 3 | 2013 | 189 | |
| 4 | 2018 | 103 | |
| 5 | 2015 | 96 | |
| 6 | 2014 | 64 | |
| 7 | 2012 | 60 | |
| 8 | 2022 | 48 | |
| 9 | 2016 | 47 | |
| 10 | 2014 | 44 | |
| 11 | 2012 | 33 | |
| 12 | 2012 | 26 | |
| 13 | 2010 | 25 | |
| 14 | 2016 | 24 | |
| 15 | 2018 | 20 | |
| 16 | 2021 | 17 | |
| 17 | 2016 | 15 | |
| 18 | 2020 | 15 | |
| 19 | 2021 | 13 | |
| 20 | 2013 | 13 |
About Christopher P. Venner
Christopher P. Venner is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 107 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (69 papers), Protein Degradation and Inhibitors (33 papers), Cancer Treatment and Pharmacology (22 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (20 papers), Peptidase Inhibition and Analysis (11 papers), Chronic Lymphocytic Leukemia Research (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers) and Chronic Myeloid Leukemia Treatments (6 papers). The work is most often cited by research in Hematology (485 citations), Nephrology (235 citations), Genetics (245 citations), Molecular Biology (1.3k citations) and Oncology (359 citations). Christopher P. Venner has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Ashutosh Wechalekar, Philip N. Hawkins, Helen J. Lachmann, Julian D. Gillmore, Simon Gibbs, Carol Whelan, Jennifer H. Pinney, Sanjay M Banypersad, Jason Dungu and Janet A. Gilbertson. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, Haematologica and European Journal Of Haematology.
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.