Donna Reece

22.8k citations
349 papers · 8.2k indexed · h-index 48
  • Hematology top 0.05%
    • Multiple Myeloma Research and Treatments 269
    • Hematopoietic Stem Cell Transplantation 25
    • Acute Myeloid Leukemia Research 23
  • Oncology top 0.5%
    • Cancer Treatment and Pharmacology 78
    • Peptidase Inhibition and Analysis 58
  • Genetics top 0.5%
    • Chronic Lymphocytic Leukemia Research 35
    • Protein Degradation and Inhibitors 131
    • Amyloidosis: Diagnosis, Treatment, Outcomes 28

Donna Reece

330 papers receiving 8.0k citations

Peers

Donna Reece
Comparison fields: 5 of 111
  • Hematology 5.2k
  • Oncology 3.8k
  • Genetics 1.1k
  • Molecular Biology 4.9k
  • Pathology and Forensic Medicine 906
Replace Vivek Roy with:
Vivek Roy United States
Susan M. Geyer United States
Ingemar Turesson Sweden
Amrita Krishnan United States
Jean‐Luc Harousseau France
Michel Attal France
Ravi Vij United States
William Bensinger United States
Sigurður Y. Kristinsson Sweden
Sung‐Soo Yoon South Korea
Donna Reece relative to Vivek Roy United States Vivek Roy's profile →
Citations per field
00.5×1.5×
Vivek Roy · 1×
Citations per year

Countries citing papers authored by Donna Reece

Since Specialization
Citations

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

Fields of papers citing papers by Donna Reece

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20231
3 20231
4 20232
5 20231
6 20212
7 201863
8 20175
9 20171
10 201612
11
A multinational observational study in multiple myeloma (preamble): initial results of treatment patterns
20141
12 201435
13 201379
14 20122
15 201135
16 200872
17 2008130
18 2007130
19 19936
20 199139

About Donna Reece

Donna Reece is a scholar working on Hematology, Oncology and Genetics, having authored 349 papers that have together received 8.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (269 papers), Protein Degradation and Inhibitors (131 papers), Cancer Treatment and Pharmacology (78 papers), Peptidase Inhibition and Analysis (58 papers), Chronic Lymphocytic Leukemia Research (35 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (28 papers), Hematopoietic Stem Cell Transplantation (25 papers) and Acute Myeloid Leukemia Research (23 papers). The work is most often cited by research in Hematology (5.2k citations), Oncology (3.8k citations) and Genetics (1.1k citations). Donna Reece has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Hong Chang, Suzanne Trudel, Christine Chen, Vishal Kukreti, A. Keith Stewart, A. Keith Stewart, Sagar Lonial, Joseph Mıkhael, Young Trieu and Rodger E. Tiedemann. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, Bone Marrow Transplantation 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.

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