GJ Freeman

1.8k citations
15 papers · 1.7k · h-index 12

Impact in

  • Immunology top 2%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Immune Cell Function and Interaction 11
    • Immunotherapy and Immune Responses 10
    • T-cell and B-cell Immunology 7
    • T-cell and Retrovirus Studies 2
    • CAR-T cell therapy research 3
    • Cancer Immunotherapy and Biomarkers 2

GJ Freeman

15 papers receiving 1.6k citations

Peers

GJ Freeman
Comparison fields: 5 of 65
  • Immunology 1.0k
  • Hematology 311
  • Oncology 560
  • Genetics 202
  • Pathology and Forensic Medicine 272
Replace Mark Klinger with:
Mark Klinger United States
Janet Ayello United States
KC Anderson United States
HE Heslop United States
MR Loken United States
Robert Wasserman United States
Ingrid L. M. Wolvers‐Tettero Netherlands
Michelle Francesco United States
Eric Braakman Netherlands
Marilyn Thien Australia
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Citations per field
00.5×1.5×1.8×
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Citations per year

Countries citing papers authored by GJ Freeman

Since Specialization
Citations

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

Fields of papers citing papers by GJ Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1994296
2 1991295
3 1994261
4 1996153
5 1996144
6 1996143
7 1995112
8 1996111
9 198960
10 199141
11 199232
12 199111
13 19897
14 19922
15 19911

About GJ Freeman

GJ Freeman is a scholar working on Immunology, Oncology, Pathology and Forensic Medicine, Hematology and Molecular Biology, having authored 15 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (10 papers), T-cell and B-cell Immunology (7 papers), CAR-T cell therapy research (3 papers), T-cell and Retrovirus Studies (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Immunology (1.0k citations), Hematology (311 citations), Oncology (560 citations), Genetics (202 citations) and Pathology and Forensic Medicine (272 citations). GJ Freeman has collaborated with scholars based in United States. Frequent co-authors include LM Nadler, JG Gribben, EC Guinan, AS Freedman, Christine Lamont, Chrysoula Dosiou, K Blake, JG Gribben, Joachim L. Schultze and Amy Billet. Their work appears in journals such as Blood 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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