E.J. Read

2.3k citations
28 papers · 1.9k indexed · h-index 16
  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation 14
  • Immunology top 2%
    • T-cell and B-cell Immunology 10
    • Immunotherapy and Immune Responses 8
    • Immune Cell Function and Interaction 7
    • Renal Transplantation Outcomes and Treatments 3
  • Oncology top 5%
    • CAR-T cell therapy research 3
    • Cancer Immunotherapy and Biomarkers 2
  • Genetics top 5%
    • RNA Interference and Gene Delivery 2

E.J. Read

28 papers receiving 1.8k citations

Peers

E.J. Read
Comparison fields: 5 of 94
  • Hematology 976
  • Immunology 1.1k
  • Transplantation 99
  • Oncology 658
  • Genetics 176
Replace Silvano Rossini with:
Silvano Rossini Italy
Alfred P. Gillio United States
BR Blazar United States
Boris Calmels France
AP Gillio United States
K. F. Bradstock Australia
C. Carter United States
Martin Guimond United States
Richard Childs United States
Marion Kleijer Netherlands
E.J. Read relative to Silvano Rossini Italy Silvano Rossini's profile →
Citations per field
00.5×1.5×1.8×
Silvano Rossini · 1×
Citations per year

Countries citing papers authored by E.J. Read

Since Specialization
Citations

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

Fields of papers citing papers by E.J. Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200847
2 20083
3 20051
4 20056
5 200426
6 20042
7 20043
8 20043
9 200326
10 20032
11 200236
12 200251
13 200212
14 200227
15 200139
16 20003
17 199832
18 1998119
19 1989261
20 1989144

About E.J. Read

E.J. Read is a scholar working on Hematology, Transplantation and Immunology, having authored 28 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (14 papers), T-cell and B-cell Immunology (10 papers), Immunotherapy and Immune Responses (8 papers), Immune Cell Function and Interaction (7 papers), Renal Transplantation Outcomes and Treatments (3 papers), CAR-T cell therapy research (3 papers), RNA Interference and Gene Delivery (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Hematology (976 citations), Immunology (1.1k citations) and Transplantation (99 citations). E.J. Read has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include C. Carter, Susan F. Leitman, Emmanuel Clave, Nancy F. Hensel, Erkut Bahceci, Richard Childs, Neal S. Young, A. John Barrett, Nathalie Contentin and Beverly S. Packard. Their work appears in journals such as Cytotherapy, Blood, Bone Marrow Transplantation, Journal of Clinical Oncology and JNCI Journal of the National Cancer Institute.

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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