Dwayne L. Barber

7.0k citations
106 papers · 6.1k · h-index 45

Impact in

  • Hematology top 1%
    • Acute Myeloid Leukemia Research
    • Erythropoietin and Anemia Treatment
  • Genetics top 1%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Erythropoietin and Anemia Treatment 8
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 11
    • Chronic Lymphocytic Leukemia Research 10

Dwayne L. Barber

103 papers receiving 5.9k citations

Peers

Dwayne L. Barber
Comparison fields: 5 of 127
  • Hematology 1.2k
  • Genetics 778
  • Immunology 1.4k
  • Oncology 1.4k
  • Sensory Systems 265
Replace Hirohei Yamamura with:
Hirohei Yamamura Japan
Ching-Shih Chen United States
Terry H. Landowski United States
Aviv Gazit Israel
Didier Decaudin France
Amnon Altman United States
Chi Li United States
Kiyotsugu Yoshida Japan
Anke Klippel United States
Ross D. Hannan Australia
Dwayne L. Barber relative to Hirohei Yamamura Japan Hirohei Yamamura's profile →
Citations per field
00.5×2×3×4×4.8×
Hirohei Yamamura · 1×
Citations per year

Countries citing papers authored by Dwayne L. Barber

Since Specialization
Citations

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

Fields of papers citing papers by Dwayne L. Barber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dwayne L. Barber. 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 Dwayne L. Barber. The network helps show where Dwayne L. Barber may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012444
2 1997377
3 2002294
4 1994293
5 2005290
6 2007274
7 1997218
8 1976156
9 2000145
10 1994125
11 1991122
12 1990119
13 2002115
14 1987112
15 2005112
16 202193
17 198590
18 200790
19 199786
20 199984

About Dwayne L. Barber

Dwayne L. Barber is a scholar working on Hematology, Genetics, Oncology, Molecular Biology and Immunology, having authored 106 papers that have together received 6.1k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (28 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers), Chronic Lymphocytic Leukemia Research (10 papers), PI3K/AKT/mTOR signaling in cancer (9 papers), Erythrocyte Function and Pathophysiology (9 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Erythropoietin and Anemia Treatment (8 papers) and Photoreceptor and optogenetics research (8 papers). The work is most often cited by research in Hematology (1.2k citations), Genetics (778 citations), Immunology (1.4k citations), Oncology (1.4k citations) and Sensory Systems (265 citations). Dwayne L. Barber has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Alan D. D’Andrea, Colin Greenwood, Terri D. Richmond, Wolfgang J. Schneider, Gordon James Freeman, Vassiliki A. Boussiotis, Lee Marshall Nadler, Stephen R. Parr, Alla Berezovskaya and Bryan K. Beattie. Their work appears in journals such as Blood, Journal of Biological Chemistry, Biochemical Journal, Molecular and Cellular Biology and Proceedings of the National Academy of Sciences.

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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