Paul G. Richardson

131.3k citations
1.1k papers · 51.8k indexed · 18 hit papers · h-index 116
Topics
Multiple Myeloma Research and Treatments (885 papers)Protein Degradation and Inhibitors (410 papers)Peptidase Inhibition and Analysis (263 papers)
Partner nations
United StatesSpainFrance

In The Last Decade

Paul G. Richardson

1.1k papers receiving 50.6k citations

Hit Papers

The proteasome inhibitor PS-341 inhibits growth, induces ...2000202620082017200120022001200020074008001.2k

Peers

Paul G. Richardson
Comparison fields: 5 of 179
  • Molecular Biology 33.9k
  • Hematology 32.3k
  • Oncology 22.5k
  • Immunology 5.9k
  • Genetics 4.6k
Replace Nikhil C. Munshi with:
Nikhil C. Munshi United States
Michael Andreeff United States
Bart Barlogie United States
S. Vincent Rajkumar United States
Teru Hideshima United States
Donna Neuberg United States
Shaji Kumar United States
Francis J. Giles United States
Elihu H. Estey United States
Angela Dispenzieri United States
Paul G. Richardson relative to Nikhil C. Munshi United States Nikhil C. Munshi's profile →
Citations per field
00.5×1.5×
Nikhil C. Munshi · 1×
Citations per year

Countries citing papers authored by Paul G. Richardson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Paul G. Richardson

This figure shows the co-authorship network connecting the top 25 collaborators of Paul G. Richardson. A scholar is included among the top collaborators of Paul G. 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 G. Richardson. Paul G. Richardson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 2
5 92
6 79
7 22
8 20
9 87
10 66
11 46
12 108
13 66
14 24
15 122
16 102
17 53
18 105
19 46
20 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) and Peptidase Inhibition and Analysis (263 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 New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

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.

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