Fred R. Dick

3.3k citations
55 papers · 2.6k indexed · h-index 28

Impact in

Papers in

    • Chronic Lymphocytic Leukemia Research 16
    • Acute Myeloid Leukemia Research 15

Fred R. Dick

55 papers receiving 2.4k citations

Peers

Fred R. Dick
Comparison fields: 5 of 129
  • Genetics 705
  • Pathology and Forensic Medicine 1.0k
  • Hematology 553
  • Oncology 615
  • Cancer Research 316
Replace Suresh H. Advani with:
Suresh H. Advani India
Lee‐Yung Shih Taiwan
Xavier Troussard France
Marc Maynadié France
Rami Mahfouz Lebanon
Armand B. Glassman United States
Eric S. Winer United States
Hirokazu Murakami Japan
D. A. G. Galton United Kingdom
Irene Lorand‐Metze Brazil
Fred R. Dick relative to Suresh H. Advani India Suresh H. Advani's profile →
Citations per field
00.5×1.5×1.8×
Suresh H. Advani · 1×
Citations per year

Countries citing papers authored by Fred R. Dick

Since Specialization
Citations

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

Fields of papers citing papers by Fred R. Dick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred R. Dick. 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 Fred R. Dick. The network helps show where Fred R. Dick may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2001178
2 200048
3 199816
4
Analysis of T cell receptor-gamma gene rearrangements by denaturing gradient gel electrophoresis of GC-clamped polymerase chain reaction products. Correlation with tumor-specific sequences.
1995102
5 199412
6 199432
7 19938
8 199189
9 198948
10 198918
11 198864
12 198320
13
Results of aggressive chemotherapy for acute nonlymphoblastic leukemia in adults.
198210
14 198117
15 198145
16 197916
17 197860
18 197892
19 197560
20 197412

About Fred R. Dick

Fred R. Dick is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Dermatology and Immunology and Allergy, having authored 55 papers that have together received 2.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (21 papers), Chronic Lymphocytic Leukemia Research (16 papers), Acute Myeloid Leukemia Research (15 papers), Acute Lymphoblastic Leukemia research (9 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Immunodeficiency and Autoimmune Disorders (4 papers), T-cell and Retrovirus Studies (3 papers) and Erythrocyte Function and Pathophysiology (3 papers). The work is most often cited by research in Genetics (705 citations), Pathology and Forensic Medicine (1.0k citations), Hematology (553 citations), Oncology (615 citations) and Cancer Research (316 citations). Fred R. Dick has collaborated with scholars based in United States. Frequent co-authors include Jamés O. Armitage, Robert W. Gibson, Leonard M. Schuman, Leon F. Burmeister, Michael P. Corder, G. Everett, K P Cantor, A. Blair, Línda Morris Brown and C. Patrick Burns. Their work appears in journals such as Cancer, American Journal of Clinical Pathology, The American Journal of Medicine, Blood and Leukemia Research.

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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