Daniel Hollyman

1.9k citations
10 papers · 499 · h-index 6

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Viral-associated cancers and disorders
    • Immune Cell Function and Interaction

Papers in

    • CAR-T cell therapy research 5
    • CRISPR and Genetic Engineering 2
    • Single-cell and spatial transcriptomics 1

Daniel Hollyman

10 papers receiving 484 citations

Peers

Daniel Hollyman
Comparison fields: 5 of 48
  • Oncology 321
  • Immunology 146
  • Genetics 161
  • Hematology 54
  • Genetics 34
Replace Fenlu Zhu with:
Fenlu Zhu United States
Romy E. Hoeppli Canada
Thomas Shum United States
Lynn J. Buchanan United Kingdom
Angelika Holler United Kingdom
Nobuhiko Imahashi Japan
L. Stievano Italy
Peter Buttgereit Germany
Uxua Mancheño Spain
Anna Capsomidis United Kingdom
Daniel Hollyman relative to Fenlu Zhu United States Fenlu Zhu's profile →
Citations per field
00.5×11.7×
Fenlu Zhu · 1×
Citations per year

Countries citing papers authored by Daniel Hollyman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hollyman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2009234
2 2002163
3 201234
4 201527
5 200726
6 20076
7 20084
8 20062
9 20142
10 20091

About Daniel Hollyman

Daniel Hollyman is a scholar working on Oncology, Molecular Biology, Genetics, Epidemiology and Public Health, Environmental and Occupational Health, having authored 10 papers that have together received 499 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Chronic Lymphocytic Leukemia Research (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Virus-based gene therapy research (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), CRISPR and Genetic Engineering (2 papers), Single-cell and spatial transcriptomics (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Oncology (321 citations), Immunology (146 citations), Genetics (161 citations), Hematology (54 citations) and Genetics (34 citations). Daniel Hollyman has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Renier J. Brentjens, Jolanta Stefanski, Clare Taylor, Michel Sadelain, Isabelle Rivière, Raymond Yeh, Yoshio Endo, Chris Boshoff, Ming‐Qing Du and Hongtao Ye. Their work appears in journals such as Cytotherapy, Molecular Therapy, Human Gene Therapy, BMJ Open and Journal of Clinical Oncology.

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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