Keith Wonnacott

1.6k citations
10 papers · 1.3k · 2 hit papers · h-index 8

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
    • Virus-based gene therapy research
  • Oncology top 5%
    • CAR-T cell therapy research

Papers in

Keith Wonnacott

9 papers receiving 1.2k citations

Keith Wonnacott's Hit Papers

Global Manufacturing of CAR T Cell Therapy 2017 · 612 citations
6120+4+8Years since publication200400600

Peers

Keith Wonnacott
Comparison fields: 5 of 89
  • Genetics 286
  • Oncology 567
  • Immunology 159
  • Genetics 208
  • Biomedical Engineering 326
Replace Deepak Bhere with:
Deepak Bhere United States
Véronique Decot France
Wouter Van’t Hof United States
Loïc Reppel France
Naser Ahmadbeigi Iran
Emily J Culme-Seymour United Kingdom
Fernando Ulloa‐Montoya United States
Dongdong Ti China
Jane Reese United States
Greg W. Butler United States
Keith Wonnacott relative to Deepak Bhere United States Deepak Bhere's profile →
Citations per field
00.5×1.5×2×2.3×
Deepak Bhere · 1×
Citations per year

Countries citing papers authored by Keith Wonnacott

Since Specialization
Citations

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

Fields of papers citing papers by Keith Wonnacott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Keith Wonnacott, 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 Keith Wonnacott Line = papers co-authored together Keith Wonnacott links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Global Manufacturing of CAR T Cell Therapy
Hit paper breakdown →
2017612
2
MSC-Based Product Characterization for Clinical Trials: An FDA Perspective
Hit paper breakdown →
2014416
3 2009113
4 200242
5 202134
6 201019
7 200517
8 20089
9 20212
10 20040

About Keith Wonnacott

Keith Wonnacott is a scholar working on Physiology, Oncology, Behavioral Neuroscience, Immunology and Surgery, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (3 papers), Biomedical Ethics and Regulation (3 papers), Pancreatic function and diabetes (2 papers), 3D Printing in Biomedical Research (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), CRISPR and Genetic Engineering (1 paper), Cannabis and Cannabinoid Research (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Genetics (286 citations), Oncology (567 citations), Immunology (159 citations), Genetics (208 citations) and Biomedical Engineering (326 citations). Keith Wonnacott has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include James Miskin, Christopher Hunt Keir, Bruce L. Levine, Raj K. Puri, Steven R. Bauer, Michael Mendicino, Alexander M. Bailey, Robert H. Bonneau, Mark H. Lee and Jeremiah J. Wille. Their work appears in journals such as Molecular Therapy — Methods & Clinical Development, Cytotherapy, Cell stem cell, American Journal of Therapeutics and Xenotransplantation.

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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