Gilbert Radcliff

412 citations
13 papers · 334 · h-index 10

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Stress Responses and Cortisol

Papers in

    • T-cell and B-cell Immunology 8
    • Immune Cell Function and Interaction 8
    • CAR-T cell therapy research 4

Gilbert Radcliff

13 papers receiving 317 citations

Peers

Gilbert Radcliff
Comparison fields: 5 of 91
  • Immunology 148
  • Behavioral Neuroscience 17
  • Biological Psychiatry 10
  • Immunology and Allergy 21
  • Biophysics 16
Replace Dorothee Ambrosius with:
Dorothee Ambrosius Germany
Karen Mason United States
Rosemary B. Evans-Storms United States
Ellen F. Wallace United States
Kaori Kimura‐Kataoka Japan
K. Merétey Hungary
Roderick K. Ferrier United Kingdom
Kalliope E. Sekeri‐Pataryas Greece
Leena Kytömäki Finland
Eriko Ohnishi Japan
Gilbert Radcliff relative to Dorothee Ambrosius Germany Dorothee Ambrosius's profile →
Citations per field
00.5×4.3×
Dorothee Ambrosius · 1×
Citations per year

Countries citing papers authored by Gilbert Radcliff

Since Specialization
Citations

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

Fields of papers citing papers by Gilbert Radcliff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Gilbert Radcliff, 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 Gilbert Radcliff Line = papers co-authored together Gilbert Radcliff links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 199156
2 199951
3 199549
4 199134
5 199134
6 199534
7 200324
8 198819
9 198910
10 19889
11 19929
12
Multiple mechanisms of target cell disintegration are employed in cytotoxicity reactions mediated by human natural killer cells.
19893
13 19952

About Gilbert Radcliff

Gilbert Radcliff is a scholar working on Immunology, Oncology, Molecular Biology, Organic Chemistry and Pharmacology, having authored 13 papers that have together received 334 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (8 papers), CAR-T cell therapy research (4 papers), NF-κB Signaling Pathways (1 paper), Signaling Pathways in Disease (1 paper), RNA Interference and Gene Delivery (1 paper), Neonatal Respiratory Health Research (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Immunology (148 citations), Behavioral Neuroscience (17 citations), Biological Psychiatry (10 citations), Immunology and Allergy (21 citations) and Biophysics (16 citations). Gilbert Radcliff has collaborated with scholars based in United States and Belgium. Frequent co-authors include Denis M. Callewaert, Ross Waite, Leona P. Whichard, Barton F. Haynes, V.K. Moudgil, M. D. Poulik, Dhavalkumar D. Patel, Stephen M. Denning, Dhavalkumar D. Patel and Laura P. Hale. Their work appears in journals such as Immunobiology, Human Immunology, Cytometry, FEBS Letters and Journal of Immunological Methods.

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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