Rob Coffin

685 citations
8 papers · 575 · h-index 4

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
  • Genetics top 5%
    • Virus-based gene therapy research

Papers in

    • Virus-based gene therapy research 8
    • RNA Interference and Gene Delivery 3
    • Viral Infectious Diseases and Gene Expression in Insects 2

Rob Coffin

8 papers receiving 554 citations

Peers

Rob Coffin
Comparison fields: 5 of 49
  • Oncology 340
  • Genetics 373
  • Immunology 180
  • Biotechnology 49
  • Molecular Biology 229
Replace Megha Shettigar with:
Megha Shettigar United States
Oliver Donnelly United Kingdom
Victoria A. Jennings United Kingdom
Frederik H.E. Schagen Netherlands
Laetitia Fend France
Shohei Miyamoto Japan
Suvi Parviainen Finland
James J. Cody United States
Karishma Rajani United States
Geoffrey L. Rogers United States
Rob Coffin relative to Megha Shettigar United States Megha Shettigar's profile →
Citations per field
00.5×2×3×3.9×
Megha Shettigar · 1×
Citations per year

Countries citing papers authored by Rob Coffin

Since Specialization
Citations

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

Fields of papers citing papers by Rob Coffin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2009441
2 201689
3 200132
4 20088
5 20062
6 20031
7 20041
8 20041

About Rob Coffin

Rob Coffin is a scholar working on Genetics, Molecular Biology, Infectious Diseases, Animal Science and Zoology and Immunology, having authored 8 papers that have together received 575 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), RNA Interference and Gene Delivery (3 papers), Animal Virus Infections Studies (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Immunotherapy and Immune Responses (2 papers), Herpesvirus Infections and Treatments (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Oncology (340 citations), Genetics (373 citations), Immunology (180 citations), Biotechnology (49 citations) and Molecular Biology (229 citations). Rob Coffin has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Gail DeRaffele, Dae Won Kim, Howard L. Kaufman, Josephine Mitcham, Seunghee Kim‐Schulze, Catherine J. Lilley, Jean Rommelaere, Sascha Bossow, Dirk M. Nettelbeck and Per Sonne Holm. Their work appears in journals such as Journal of Clinical Oncology, Biotechnology and Applied Biochemistry, Annals of Surgical Oncology, Current Gene Therapy and Molecular Therapy — Methods & Clinical Development.

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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