Frank Dicker

5.7k citations
117 papers · 4.7k · h-index 36

Impact in

  • Hematology top 0.2%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 0.2%
    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Chronic Lymphocytic Leukemia Research 49
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 24
    • Acute Myeloid Leukemia Research 60
    • Chronic Myeloid Leukemia Treatments 18

Frank Dicker

109 papers receiving 4.6k citations

Peers

Frank Dicker
Comparison fields: 5 of 79
  • Hematology 2.7k
  • Genetics 2.4k
  • Pathology and Forensic Medicine 992
  • Immunology 776
  • Cancer Research 508
Replace Frédérik Damm with:
Frédérik Damm Germany
Valentina Pettirossi Italy
Anna Gallì Italy
Tamara Alpermann Germany
Eva Hellström‐Lindberg Sweden
Olivier Nibourel France
Roberta La Starza Italy
Véronique Gelsi‐Boyer France
Hiraku Mori Japan
Joelle Kalicki-Veizer United States
Frank Dicker relative to Frédérik Damm Germany Frédérik Damm's profile →
Citations per field
00.5×1.5×2.1×
Frédérik Damm · 1×
Citations per year

Countries citing papers authored by Frank Dicker

Since Specialization
Citations

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

Fields of papers citing papers by Frank Dicker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009291
2 2007288
3 2012265
4 2010263
5 2010222
6 2011209
7 2012207
8 2008204
9 2004197
10 2013194
11 2008182
12 2006179
13 2013147
14 1999125
15 2010124
16 200796
17 201389
18 201284
19 201868
20 201462

About Frank Dicker

Frank Dicker is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Immunology and Molecular Biology, having authored 117 papers that have together received 4.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (60 papers), Chronic Lymphocytic Leukemia Research (49 papers), Lymphoma Diagnosis and Treatment (27 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (24 papers), Immunodeficiency and Autoimmune Disorders (18 papers), Chronic Myeloid Leukemia Treatments (18 papers), Acute Lymphoblastic Leukemia research (12 papers) and Cancer Genomics and Diagnostics (9 papers). The work is most often cited by research in Hematology (2.7k citations), Genetics (2.4k citations), Pathology and Forensic Medicine (992 citations), Immunology (776 citations) and Cancer Research (508 citations). Frank Dicker has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Torsten Haferlach, Wolfgang Kern, Susanne Schnittger, Claudia Haferlach, Alexander Kohlmann, Tamara Alpermann, Vera Grossmann, Tamara Weiss, Christiane Eder and Andreas Roller. Their work appears in journals such as Blood, Leukemia, Haematologica, British Journal of Haematology and Genes Chromosomes and Cancer.

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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