David Twomey

3.4k citations
7 papers · 1.6k indexed · 1 hit paper · h-index 5

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Cancer Genomics and Diagnostics

Papers in

David Twomey

7 papers receiving 1.6k citations

Hit Papers

Transformation from committed progenitor to leukaemia stem cell initiated by MLL–AF9 2006 · 1.0k citations
1.0k20062026201220192505007501000

Peers

David Twomey
Comparison fields: 5 of 91
  • Hematology 589
  • Cancer Research 242
  • Molecular Biology 1.1k
  • Oncology 418
  • Genetics 130
Replace Mika Kontro with:
Mika Kontro Finland
Yoko Ueno Japan
William Senapedis United States
Jianan Gong China
Ronald M. Paranal United States
Ruwanthi N. Gunawardane United States
Yi Hua Qiu United States
Mohammad Azam United States
Mark Fereshteh United States
Mark N. Adams Australia
David Twomey relative to Mika Kontro Finland Mika Kontro's profile →
Citations per field
00.5×2.7×
Mika Kontro · 1×
Citations per year

Countries citing papers authored by David Twomey

Since Specialization
Citations

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

Fields of papers citing papers by David Twomey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 201456
2 200735
3 2006385
4 200655
5
Transformation from committed progenitor to leukaemia stem cell initiated by MLL–AF9
Hit paper breakdown →
20061047
6 20053
7 20034

About David Twomey

David Twomey is a scholar working on Hematology, Management Science and Operations Research, Oncology, Molecular Biology and Computational Theory and Mathematics, having authored 7 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Biosensing Techniques and Applications (2 papers), Biosensors and Analytical Detection (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cell death mechanisms and regulation (1 paper), Acute Myeloid Leukemia Research (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Hematology (589 citations), Cancer Research (242 citations), Molecular Biology (1.1k citations), Oncology (418 citations) and Genetics (130 citations). David Twomey has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Todd R. Golub, Scott A. Armstrong, Jason Levine, D. Gary Gilliland, Jing Wang, Andrei V. Krivtsov, William C. Hahn, Zhaohui Feng, Matthew C. Stubbs and Yingzi Wang. Their work appears in journals such as Blood, Nature, Journal of Biomedical Semantics, Journal of Molecular Diagnostics and Biochemical and Biophysical Research Communications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026