David A. Flowers

4.5k citations
44 papers · 3.8k · h-index 21

Impact in

  • Hematology top 1%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Oncology top 5%
    • HER2/EGFR in Cancer Research
    • CAR-T cell therapy research

Papers in

David A. Flowers

42 papers receiving 3.5k citations

Peers

David A. Flowers
Comparison fields: 5 of 121
  • Hematology 1.0k
  • Oncology 1.0k
  • Genetics 340
  • Radiology, Nuclear Medicine and Imaging 702
  • Immunology 563
Replace Hongmei Shen with:
Hongmei Shen United States
Dorothy A. Sipkins United States
John D. Harling United Kingdom
Yukihiko Sonoda Japan
Judith M. Runnels United States
Junke Zheng China
Dmitri Wiederschain United States
Barbara H. Garmy-Susini France
Jay F. Dorsey United States
J. T. Kemshead United Kingdom
David A. Flowers relative to Hongmei Shen United States Hongmei Shen's profile →
Citations per field
00.5×2×3.1×
Hongmei Shen · 1×
Citations per year

Countries citing papers authored by David A. Flowers

Since Specialization
Citations

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

Fields of papers citing papers by David A. Flowers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000509
2 2001498
3 1999381
4 1999369
5 1998297
6 2000271
7 2001181
8 2001173
9 2007170
10 2015166
11 2003121
12 2000112
13 198677
14 198554
15 201254
16 201847
17 198529
18 201526
19 198523
20 201423

About David A. Flowers

David A. Flowers is a scholar working on Cardiology and Cardiovascular Medicine, Hematology, Molecular Biology, Oncology and Immunology, having authored 44 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (14 papers), Cardiac Arrhythmias and Treatments (10 papers), Cardiac pacing and defibrillation studies (5 papers), Ion channel regulation and function (5 papers), Developmental Biology and Gene Regulation (5 papers), Epigenetics and DNA Methylation (5 papers), Acute Myeloid Leukemia Research (5 papers) and Zebrafish Biomedical Research Applications (4 papers). The work is most often cited by research in Hematology (1.0k citations), Oncology (1.0k citations), Genetics (340 citations), Radiology, Nuclear Medicine and Imaging (702 citations) and Immunology (563 citations). David A. Flowers has collaborated with scholars based in United States, South Africa and Netherlands. Frequent co-authors include Irwin D. Bernstein, Barbara Varnum‐Finney, Carolyn Brashem‐Stein, Eric L. Sievers, Kathleen Shannon‐Dorcy, FO Smith, Stephen J. Forman, M. S. Berger, Ricardo Tomas Spielberger and Frederick R. Appelbaum. Their work appears in journals such as Blood, The American Journal of Cardiology, American Heart Journal, CPT Pharmacometrics & Systems Pharmacology and Bioconjugate Chemistry.

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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