Peter Stewart

85 papers receiving 3.4k citations

Peter Stewart's Hit Papers

The molecular classification of multiple myeloma 2006 · 789 citations
7890+6+13Years since publication250500750

Peers

Peter Stewart
Comparison fields: 5 of 141
  • Hematology 1.2k
  • Pharmaceutical Science 171
  • Oncology 651
  • Gastroenterology 109
  • Cardiology and Cardiovascular Medicine 439
Replace Campbell Rogers with:
Campbell Rogers United States
Xiaoping Xu China
John D. Olson United States
Hyung L. Kim United States
Christoph Reißfelder Germany
M. Clavel France
Yoshihiro Sakamoto Japan
Ying Zhuge United States
Juan F. Granada United States
Karsten Conrad Germany
Peter Stewart relative to Campbell Rogers United States Campbell Rogers's profile →
Citations per field
00.5×12.2×
Campbell Rogers · 1×
Citations per year

Countries citing papers authored by Peter Stewart

Since Specialization
Citations

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

Fields of papers citing papers by Peter Stewart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Stewart, 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 Stewart Line = papers co-authored together Peter Stewart links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The molecular classification of multiple myeloma
Hit paper breakdown →
2006789
2 2006340
3 2006289
4 2014232
5 2001147
6 2001129
7 2007120
8 201595
9 198083
10 200672
11 200763
12 200162
13 201654
14 202050
15 201645
16 201643
17 200143
18 201542
19 201841
20 201537

About Peter Stewart

Peter Stewart is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Molecular Biology, Oncology and Surgery, having authored 91 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (18 papers), Inhalation and Respiratory Drug Delivery (9 papers), Cancer Genomics and Diagnostics (9 papers), Multiple Myeloma Research and Treatments (8 papers), Granular flow and fluidized beds (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Mineral Processing and Grinding (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Hematology (1.2k citations), Pharmaceutical Science (171 citations), Oncology (651 citations), Gastroenterology (109 citations) and Cardiology and Cardiovascular Medicine (439 citations). Peter Stewart has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include John D. Shaughnessy, Bart Barlogie, Fenghuang Zhan, Ichiro Hanamura, Yongsheng Huang, Martin Rhodes, Minh Nguyen, Kurt Liffman, Frits van Rhee and Guido Tricot. Their work appears in journals such as Blood, The Annals of Thoracic Surgery, Chemical Engineering Science, JACC: Cardiovascular Interventions and Colorectal Disease.

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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