Deiter J. Duff

640 citations
13 papers · 441 · h-index 6

Impact in

    • Cancer Genomics and Diagnostics
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Genomics and Chromatin Dynamics

Papers in

Deiter J. Duff

13 papers receiving 437 citations

Peers

Deiter J. Duff
Comparison fields: 5 of 52
  • Cancer Research 67
  • Molecular Biology 325
  • Hematology 28
  • Pathology and Forensic Medicine 36
  • Public Health, Environmental and Occupational Health 55
Replace Gerald L. Arthur with:
Gerald L. Arthur United States
Koji Kato Japan
Tatiana Burjanivová Slovakia
Walid Al Achkar Syria
Manon Ouimet Canada
Rashesh Sanghvi United Kingdom
R. Tanner Hagelstrom United States
Guillaume van de Zande Netherlands
Ana Blanco Spain
Steven Schonberg United States
Deiter J. Duff relative to Gerald L. Arthur United States Gerald L. Arthur's profile →
Citations per field
00.5×1.6×
Gerald L. Arthur · 1×
Citations per year

Countries citing papers authored by Deiter J. Duff

Since Specialization
Citations

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

Fields of papers citing papers by Deiter J. Duff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deiter J. Duff. 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 Deiter J. Duff. The network helps show where Deiter J. Duff may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2007179
2 2007109
3 200666
4 200654
5
Molecular detection of B-cell neoplasms by specific DNA methylation biomarkers.
20109
6 20147
7 20144
8 20133
9 20133
10 20192
11 20202
12 20222
13 20051

About Deiter J. Duff

Deiter J. Duff is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Pathology and Forensic Medicine, Neurology and Pediatrics, Perinatology and Child Health, having authored 13 papers that have together received 441 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Genetic Syndromes and Imprinting (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Methemoglobinemia and Tumor Lysis Syndrome (1 paper), Colorectal Cancer Treatments and Studies (1 paper) and Injury Epidemiology and Prevention (1 paper). The work is most often cited by research in Cancer Research (67 citations), Molecular Biology (325 citations), Hematology (28 citations), Pathology and Forensic Medicine (36 citations) and Public Health, Environmental and Occupational Health (55 citations). Deiter J. Duff has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Kristen H. Taylor, Huidong Shi, Charles W. Caldwell, J. Wade Davis, Juyuan Guo, Ozy Sjahputera, Robin S. S. Kramer, Dong Xu, Farah Rahmatpanah and Gerald L. Arthur. Their work appears in journals such as Cancer Research, Carcinogenesis, Endoscopy, Leukemia and Blood.

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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