Paul Richardson
- Molecular Biology top 5%
- Hematology top 2%
- Ecology top 5%
- Oncology top 10%
- Infectious Diseases top 5%
- Co-authors
- Kenneth C. AndersonEdward M. RubinDharminder ChauhanEugene W. MyersMichael MwangiHermı́nia de LencastreShang Wei WuAlexander Tomasz
- Topics
- Multiple Myeloma Research and Treatments (18 papers)Protein Degradation and Inhibitors (12 papers)Genomics and Phylogenetic Studies (8 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Paul Richardson
42 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.4k
- Hematology 580
- Ecology 466
- Oncology 416
- Infectious Diseases 301
Countries citing papers authored by Paul Richardson
This map shows the geographic impact of Paul 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 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 Richardson more than expected).
Fields of papers citing papers by Paul Richardson
This network shows the impact of papers produced by Paul 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 Richardson. The network helps show where Paul Richardson may publish in the future.
Co-authorship network of co-authors of Paul Richardson
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Richardson. A scholar is included among the top collaborators of Paul Richardson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul Richardson. Paul Richardson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 15 | |
| 5 | 79 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | Mitochondrial genomics in the Genus Phytophthora with a focus on Phytophthora ramorum | 1 |
| 10 | 219 | |
| 11 | 426 | |
| 12 | 125 | |
| 13 | 407 | |
| 14 | 34 | |
| 15 | 10 | |
| 16 | 13 | |
| 17 | Microbial Finishing at DOE Joint Genome Institute (JGI): Sequencing Difficult DNA Templates | 1 |
| 18 | 146 | |
| 19 | Finishing The Euchromatic Sequence Of The Human Genome | 43 |
| 20 | 36 |
About Paul Richardson
Paul Richardson is a scholar working on Hematology, Aging and Molecular Biology, having authored 42 papers that have together received 2.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (18 papers), Protein Degradation and Inhibitors (12 papers) and Genomics and Phylogenetic Studies (8 papers). The work is most often cited by research in Hematology (580 citations), Molecular Biology (1.4k citations) and Molecular Medicine (98 citations). Paul Richardson has collaborated with scholars based in United States, China and France. Frequent co-authors include Kenneth C. Anderson, Edward M. Rubin, Dharminder Chauhan, Eugene W. Myers, Michael Mwangi, Hermı́nia de Lencastre, Shang Wei Wu, Alexander Tomasz, Eric D. Siggia and Yanjiao Zhou. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and JAMA.
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.