H E Heslop

948 citations
14 papers · 393 · h-index 11

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Viral-associated cancers and disorders
    • CAR-T cell therapy research
    • Polyomavirus and related diseases

Papers in

    • Viral-associated cancers and disorders 3
    • Polyomavirus and related diseases 2
    • CAR-T cell therapy research 2
    • Virus-based gene therapy research 5

H E Heslop

14 papers receiving 383 citations

Peers

H E Heslop
Comparison fields: 5 of 42
  • Hematology 97
  • Oncology 178
  • Immunology 113
  • Epidemiology 132
  • Genetics 84
Replace Ramzi Khalaf with:
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Christina Kyzirakos Germany
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Robert Harper United States
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Pavankumar Reddy Varanasi Germany
H E Heslop relative to Ramzi Khalaf United States Ramzi Khalaf's profile →
Citations per field
00.5×1.5×2.0×
Ramzi Khalaf · 1×
Citations per year

Countries citing papers authored by H E Heslop

Since Specialization
Citations

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

Fields of papers citing papers by H E Heslop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H E Heslop. 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 H E Heslop. The network helps show where H E Heslop may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200760
2 199857
3 200757
4 200744
5 198938
6 199027
7
Immunotherapy of leukemia.
199222
8 200020
9 201018
10 200514
11 199513
12 199510
13 19948
14 20135

About H E Heslop

H E Heslop is a scholar working on Oncology, Genetics, Epidemiology, Hematology and Molecular Biology, having authored 14 papers that have together received 393 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Cytomegalovirus and herpesvirus research (5 papers), Hematopoietic Stem Cell Transplantation (3 papers), Viral-associated cancers and disorders (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Polyomavirus and related diseases (2 papers), CAR-T cell therapy research (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Hematology (97 citations), Oncology (178 citations), Immunology (113 citations), Epidemiology (132 citations) and Genetics (84 citations). H E Heslop has collaborated with scholars based in United States, United Kingdom and Myanmar. Frequent co-authors include Cliona M. Rooney, Yasuyuki Fujita, M.K. Brenner, Malcolm K. Brenner, George Carrum, Marie Roskrow, Colton A. Smith, Ravindra R. Kamble, Barbara Savoldo and Ann M. Leen. Their work appears in journals such as Bone Marrow Transplantation, British Medical Bulletin, Cold Spring Harbor Symposia on Quantitative Biology, Blood Reviews and The Journal of Immunology.

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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