David Leverett

417 citations
11 papers · 339 · h-index 8

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Mesenchymal stem cell research

Papers in

    • Hematopoietic Stem Cell Transplantation 3
    • Neutropenia and Cancer Infections 2

David Leverett

11 papers receiving 324 citations

Peers

David Leverett
Comparison fields: 5 of 40
  • Hematology 216
  • Genetics 50
  • Transplantation 11
  • Oncology 94
  • Immunology 64
Replace Bensinger Wi with:
Bensinger Wi United States
T Iseki Japan
C Sarkodee-Adoo United States
T Chauncey United States
Yasutaka Aoyama Japan
Nahıde Konuk Türkiye
Maite Encuentra Spain
Elena Tagliaferri Italy
Gail Abrahamson United Kingdom
Ryoko Yamasaki Japan
David Leverett relative to Bensinger Wi United States Bensinger Wi's profile →
Citations per field
00.5×5×10×14×
Bensinger Wi · 1×
Citations per year

Countries citing papers authored by David Leverett

Since Specialization
Citations

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

Fields of papers citing papers by David Leverett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2006119
2 199853
3 200049
4 199729
5 201325
6 202024
7 201621
8 199913
9 20044
10
A comparison of ESHAP+G-CSF vs cyclophosphamide 1.5g/m(2)+G-CSF for PBSC mobilisation in pre-treated lymphoma patients: A matched pair analysis.
19961
11 20201

About David Leverett

David Leverett is a scholar working on Hematology, Oncology, Immunology, Infectious Diseases and Pathology and Forensic Medicine, having authored 11 papers that have together received 339 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (3 papers), Complement system in diseases (3 papers), Lymphoma Diagnosis and Treatment (2 papers), COVID-19 Clinical Research Studies (2 papers), Blood disorders and treatments (2 papers), Neutropenia and Cancer Infections (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Hermeneutics and Narrative Identity (1 paper). The work is most often cited by research in Hematology (216 citations), Genetics (50 citations), Transplantation (11 citations), Oncology (94 citations) and Immunology (64 citations). David Leverett has collaborated with scholars based in United Kingdom. Frequent co-authors include Michael Watts, David C. Linch, Stuart J. Ings, Stephen Mackinnon, Stephen Devereux, Anthony H. Goldstone, D C Linch, Amanda R. Perry, Angela Sullivan and Marie Scully. Their work appears in journals such as British Journal of Haematology, Blood, Vox Sanguinis, Bone Marrow Transplantation and Journal of Clinical Oncology.

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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