D Tuck

450 citations
9 papers · 293 · h-index 6

Impact in

    • Viral-associated cancers and disorders
    • Cancer Treatment and Pharmacology
  • Biophysics top 10%
    • Electromagnetic Fields and Biological Effects

Papers in

    • Mesenchymal stem cell research 2
    • Chronic Lymphocytic Leukemia Research 2
    • Blood disorders and treatments 1
    • Hematopoietic Stem Cell Transplantation 3
    • Platelet Disorders and Treatments 1

D Tuck

9 papers receiving 271 citations

Peers

D Tuck
Comparison fields: 5 of 63
  • Oncology 185
  • Biophysics 30
  • Pathology and Forensic Medicine 93
  • Speech and Hearing 24
  • Genetics 30
Replace Armando Martínez-Ávalos with:
Armando Martínez-Ávalos Mexico
Laurent Suchet France
R. Macdonell Australia
Robert G. Anderson United States
Mariarosa Rottoli Italy
Elizabeth A. Jenkins United Kingdom
José Meca-Lallana Spain
Andrica C. H. de Vries Netherlands
Susan M. Fleming United States
Salim Chahin United States
D Tuck relative to Armando Martínez-Ávalos Mexico Armando Martínez-Ávalos's profile →
Citations per field
00.5×4.2×
Armando Martínez-Ávalos · 1×
Citations per year

Countries citing papers authored by D Tuck

Since Specialization
Citations

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

Fields of papers citing papers by D Tuck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 1998127
2 200163
3 200738
4
Hyperactives as young adults: various clinical outcomes.
198132
5 198117
6 19997
7 19994
8 20073
9
Factors affecting recovery after peripheral blood stem cell transplantation.
19932

About D Tuck

D Tuck is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Oncology and Genetics, having authored 9 papers that have together received 293 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Mesenchymal stem cell research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Hematological disorders and diagnostics (2 papers), Cancer Treatment and Pharmacology (1 paper), Blood disorders and treatments (1 paper) and Platelet Disorders and Treatments (1 paper). The work is most often cited by research in Oncology (185 citations), Biophysics (30 citations), Pathology and Forensic Medicine (93 citations), Speech and Hearing (24 citations) and Genetics (30 citations). D Tuck has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include R. M. Lowenthal, Isabelle Bray, Gabrielle Weiss, Lily Hechtman, Jeanne Odom, Illinois Feuerstein, S Broder, Kathleen M. Wyvill, Lauri Welles and M. Wayne Saville. Their work appears in journals such as Cytotherapy, Cancer, Journal of Clinical Oncology, Annals of Oncology and Internal Medicine Journal.

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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