GJ Freeman

1.8k total citations
15 papers, 1.6k citations indexed

About

GJ Freeman is a scholar working on Immunology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, GJ Freeman has authored 15 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 7 papers in Oncology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in GJ Freeman's work include Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (10 papers) and T-cell and B-cell Immunology (7 papers). GJ Freeman is often cited by papers focused on Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (10 papers) and T-cell and B-cell Immunology (7 papers). GJ Freeman collaborates with scholars based in United States. GJ Freeman's co-authors include LM Nadler, JG Gribben, EC Guinan, AS Freedman, Chrysoula Dosiou, Christine Lamont, K Blake, JG Gribben, Angelo A. Cardoso and Amy Billet and has published in prestigious journals such as Blood and The Journal of Immunology.

In The Last Decade

GJ Freeman

15 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
GJ Freeman United States 12 1.1k 602 329 286 220 15 1.6k
Mark S. Roth United States 13 458 0.4× 569 0.9× 636 1.9× 310 1.1× 299 1.4× 18 1.4k
Ingrid L. M. Wolvers‐Tettero Netherlands 18 771 0.7× 339 0.6× 235 0.7× 430 1.5× 237 1.1× 23 1.3k
HE Heslop United States 18 592 0.5× 460 0.8× 485 1.5× 169 0.6× 313 1.4× 32 1.4k
H Mizoguchi Japan 17 602 0.6× 506 0.8× 353 1.1× 89 0.3× 345 1.6× 54 1.4k
Heather Daley United States 18 497 0.5× 561 0.9× 440 1.3× 357 1.2× 178 0.8× 36 1.2k
Mark Klinger United States 18 872 0.8× 696 1.2× 274 0.8× 167 0.6× 504 2.3× 30 1.7k
Janet Ayello United States 21 529 0.5× 705 1.2× 341 1.0× 214 0.7× 368 1.7× 117 1.3k
Mitsufumi Nishio Japan 19 624 0.6× 264 0.4× 276 0.8× 265 0.9× 262 1.2× 38 1.3k
George Carrum United States 17 714 0.7× 1.0k 1.7× 322 1.0× 439 1.5× 232 1.1× 53 1.6k
Paulo Vidal Campregher Brazil 12 950 0.9× 569 0.9× 429 1.3× 112 0.4× 323 1.5× 57 1.7k

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-authorship network of co-authors of GJ Freeman

This figure shows the co-authorship network connecting the top 25 collaborators of GJ Freeman. A scholar is included among the top collaborators of GJ Freeman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with GJ Freeman. GJ Freeman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Cardoso, Angelo A., Joachim L. Schultze, GJ Freeman, et al.. (1996). Pre-B acute lymphoblastic leukemia cells may induce T-cell anergy to alloantigen. Blood. 88(1). 41–48. 147 indexed citations
2.
3.
Cardoso, Angelo A., Joachim L. Schultze, GJ Freeman, et al.. (1996). Pre-B acute lymphoblastic leukemia cells may induce T-cell anergy to alloantigen. Blood. 88(1). 41–48. 136 indexed citations
4.
Matulonis, Ursula A., Chrysoula Dosiou, GJ Freeman, et al.. (1996). B7-1 is superior to B7-2 costimulation in the induction and maintenance of T cell-mediated antileukemia immunity. Further evidence that B7-1 and B7-2 are functionally distinct. The Journal of Immunology. 156(3). 1126–1131. 139 indexed citations
5.
Matulonis, U., Chrysoula Dosiou, Christine Lamont, et al.. (1995). Role of B7-1 in mediating an immune response to myeloid leukemia cells. Blood. 85(9). 2507–2515. 108 indexed citations
6.
Guinan, EC, et al.. (1994). Pivotal role of the B7:CD28 pathway in transplantation tolerance and tumor immunity. Blood. 84(10). 3261–3282. 282 indexed citations
7.
Guinan, EC, et al.. (1994). Pivotal role of the B7:CD28 pathway in transplantation tolerance and tumor immunity. Blood. 84(10). 3261–3282. 243 indexed citations
8.
Freeman, GJ, et al.. (1992). The gene for B7, a costimulatory signal for T-cell activation, maps to chromosomal region 3q13.3-3q21. Blood. 79(2). 489–494. 2 indexed citations
9.
Freeman, GJ, et al.. (1992). The gene for B7, a costimulatory signal for T-cell activation, maps to chromosomal region 3q13.3-3q21. Blood. 79(2). 489–494. 32 indexed citations
10.
11.
Schriever, Folke, GJ Freeman, & LM Nadler. (1991). Follicular dendritic cells contain a unique gene repertoire demonstrated by single-cell polymerase chain reaction. Blood. 77(4). 787–791. 37 indexed citations
12.
Schriever, Folke, GJ Freeman, & LM Nadler. (1991). Follicular dendritic cells contain a unique gene repertoire demonstrated by single-cell polymerase chain reaction. Blood. 77(4). 787–791. 1 indexed citations
13.
14.
Freedman, AS, et al.. (1989). Studies of in vitro activated CD5+ B cells. Blood. 73(1). 202–208. 57 indexed citations
15.
Freedman, AS, et al.. (1989). Studies of in vitro activated CD5+ B cells. Blood. 73(1). 202–208. 7 indexed citations

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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