Will Donnellan

2.1k citations
9 papers · 1.7k · 2 hit papers · h-index 5

Impact in

  • Hematology top 1%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

Will Donnellan

9 papers receiving 1.6k citations

Will Donnellan's Hit Papers

Ivosidenib induces deep durable remissions in patients with newly diagnosed IDH1-mutant acute myeloid leukemia 2019 · 311 citations
3110+2+5Years since publication2505007501k

Peers

Will Donnellan
Comparison fields: 5 of 56
  • Hematology 1.2k
  • Genetics 133
  • Cancer Research 140
  • Pathology and Forensic Medicine 58
  • Oncology 70
Replace Gabrielle T. Prince with:
Gabrielle T. Prince United States
Stephanie M. Kapsalis United States
Benjamin Hanfstein Germany
Erin P. Demakos United States
Norbert Grząśko Poland
Ute Berger Germany
Lydia Wunderle Germany
James K. McCloskey United States
Daniela Späth Germany
Fabian Lang Germany
Will Donnellan relative to Gabrielle T. Prince United States Gabrielle T. Prince's profile →
Citations per field
00.5×1.7×
Gabrielle T. Prince · 1×
Citations per year

Countries citing papers authored by Will Donnellan

Since Specialization
Citations

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

Fields of papers citing papers by Will Donnellan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Will Donnellan, 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 Will Donnellan Line = papers co-authored together Will Donnellan links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Durable Remissions with Ivosidenib in IDH1 -Mutated Relapsed or Refractory AML
Hit paper breakdown →
20181182
2
Ivosidenib induces deep durable remissions in patients with newly diagnosed IDH1-mutant acute myeloid leukemia
Hit paper breakdown →
2019311
3 2022102
4 201249
5 202117
6 20164
7 20123
8 20182
9 20192

About Will Donnellan

Will Donnellan is a scholar working on Hematology, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 9 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Lymphoma Diagnosis and Treatment (2 papers) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Hematology (1.2k citations), Genetics (133 citations), Cancer Research (140 citations), Pathology and Forensic Medicine (58 citations) and Oncology (70 citations). Will Donnellan has collaborated with scholars based in United States and France. Frequent co-authors include Otis W. Brawley, Jeanne Kowalski-Muegge, Pareen J. Shenoy, David L. Jaye, Mary Jo Lechowicz, Vishnu Reddy, James M. Foran, Joseph Lipscomb, Rajni Sinha and Christopher R. Flowers. Their work appears in journals such as Blood, The Lancet Haematology, New England Journal of Medicine, Clinical Lymphoma Myeloma & Leukemia and Leukemia & lymphoma.

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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