Peter M. Voorhees

13.9k citations
172 papers · 5.3k indexed · 2 hit papers · h-index 33

Peter M. Voorhees

163 papers receiving 5.2k citations

Hit Papers

Clinical efficacy of daratumumab monotherapy ...3032007202620132019100200300400500

Peers

Peter M. Voorhees
Comparison fields: 5 of 112
  • Hematology 2.9k
  • Oncology 2.7k
  • Molecular Biology 3.3k
  • Genetics 474
  • Immunology 600
Replace Nizar J. Bahlis with:
Nizar J. Bahlis Canada
Suzanne Lentzsch United States
Jonathan L. Kaufman United States
Carla S. Wilson United States
Melissa Alsina United States
Martin Kaiser United Kingdom
Saad Z. Usmani United States
Lia Gore United States
A. Keith Stewart Canada
Catherine Pellat‐Deceunynck France
Peter M. Voorhees relative to Nizar J. Bahlis Canada Nizar J. Bahlis's profile →
Citations per field
00.5×1.5×
Nizar J. Bahlis · 1×
Citations per year

Countries citing papers authored by Peter M. Voorhees

Since Specialization
Citations

This map shows the geographic impact of Peter M. Voorhees'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 Peter M. Voorhees with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter M. Voorhees more than expected).

Fields of papers citing papers by Peter M. Voorhees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter M. Voorhees. 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 Peter M. Voorhees. The network helps show where Peter M. Voorhees may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Peter M. Voorhees, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter M. Voorhees Line = papers co-authored together Peter M. Voorhees links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20242
4 20240
5 20242
6 20241
7 20248
8 20241
9 20232
10 202284
11 202117
12 20205
13 202010
14 202015
15 201911
16 201915
17 20170
18 2013166
19 200827
20 200793

About Peter M. Voorhees

Peter M. Voorhees is a scholar working on Hematology, Genetics and Oncology, having authored 172 papers that have together received 5.3k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (145 papers), Protein Degradation and Inhibitors (59 papers), Chronic Lymphocytic Leukemia Research (31 papers), Peptidase Inhibition and Analysis (31 papers), Monoclonal and Polyclonal Antibodies Research (29 papers), Ubiquitin and proteasome pathways (21 papers), CAR-T cell therapy research (15 papers) and Lymphoma Diagnosis and Treatment (12 papers). The work is most often cited by research in Hematology (2.9k citations), Oncology (2.7k citations) and Molecular Biology (3.3k citations). Peter M. Voorhees has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Robert Z. Orlowski, Deborah J. Kuhn, Paul G. Richardson, Saad Z. Usmani, Qing Chen, Elizabeth Claire Dees, Bert H. O’Neil, Sagar Lonial, John S. Strader and Asher Chanan‐Khan. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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