Paul G. Richardson
- Hematology top 0.01%
- Multiple Myeloma Research and Treatments 885
- Oncology top 0.01%
- Peptidase Inhibition and Analysis 263
- Cancer Treatment and Pharmacology 140
- Molecular Biology top 0.02%
- Protein Degradation and Inhibitors 410
- Ubiquitin and proteasome pathways 142
- Histone Deacetylase Inhibitors Research 82
- Cancer therapeutics and mechanisms 74
- Genetics top 0.05%
- Chronic Lymphocytic Leukemia Research 109
- Immunology top 0.2%
- Co-authors
- Kenneth C. AndersonTeru HideshimaDharminder ChauhanConstantine S. MitsiadesNikhil C. MunshiRobert SchlossmanNoopur RajeKlaus Podar
- Cited by
- HematologyOncologyMolecular Biology
- Journals
- Blood (411 papers)Journal of Clinical Oncology (138 papers)British Journal of Haematology (65 papers)
- Partner nations
- United StatesSpainFrance
In The Last Decade
Paul G. Richardson
1.1k papers receiving 50.6k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Hematology 32.3k
- Oncology 22.5k
- Molecular Biology 33.9k
- Genetics 4.6k
- Immunology 5.9k
Countries citing papers authored by Paul G. Richardson
This map shows the geographic impact of Paul G. Richardson'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 Paul G. Richardson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul G. Richardson more than expected).
Fields of papers citing papers by Paul G. Richardson
This network shows the impact of papers produced by Paul G. Richardson. 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 Paul G. Richardson. The network helps show where Paul G. Richardson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul G. Richardson, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2021 | 92 | |
| 6 | 2019 | 79 | |
| 7 | 2016 | 22 | |
| 8 | 2016 | 20 | |
| 9 | 2015 | 87 | |
| 10 | 2014 | 66 | |
| 11 | 2012 | 46 | |
| 12 | 2012 | 108 | |
| 13 | 2012 | 66 | |
| 14 | 2012 | 24 | |
| 15 | 2011 | 122 | |
| 16 | 2010 | 102 | |
| 17 | 2009 | 53 | |
| 18 | 2009 | 105 | |
| 19 | 2009 | 46 | |
| 20 | 1998 | 28 |
About Paul G. Richardson
Paul G. Richardson is a scholar working on Hematology, Oncology and Genetics, having authored 1.1k papers that have together received 51.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (885 papers), Protein Degradation and Inhibitors (410 papers), Peptidase Inhibition and Analysis (263 papers), Ubiquitin and proteasome pathways (142 papers), Cancer Treatment and Pharmacology (140 papers), Chronic Lymphocytic Leukemia Research (109 papers), Histone Deacetylase Inhibitors Research (82 papers) and Cancer therapeutics and mechanisms (74 papers). The work is most often cited by research in Hematology (32.3k citations), Oncology (22.5k citations) and Molecular Biology (33.9k citations). Paul G. Richardson has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Kenneth C. Anderson, Teru Hideshima, Dharminder Chauhan, Constantine S. Mitsiades, Nikhil C. Munshi, Robert Schlossman, Noopur Raje, Klaus Podar, Nicholas Mitsiades and Jacob P. Laubach. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, Leukemia and Biology of Blood and Marrow Transplantation.
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.