M J Ford

1.1k citations
11 papers · 981 · h-index 11

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
  • Genetics top 10%
    • Virus-based gene therapy research

Papers in

    • RNA Interference and Gene Delivery 3
    • RNA and protein synthesis mechanisms 2
    • CRISPR and Genetic Engineering 2
    • Cytomegalovirus and herpesvirus research 2

M J Ford

11 papers receiving 946 citations

Peers

M J Ford
Comparison fields: 5 of 76
  • Immunology 381
  • Genetics 277
  • Biotechnology 84
  • Oncology 234
  • Molecular Biology 555
Replace Clague P. Hodgson with:
Clague P. Hodgson United States
Samuel Salzberg Israel
A Oliff United States
A. Miller United States
Nicola Hardwick United Kingdom
Denise R. Shaw United States
M P Quinlan United States
S Yasumoto Japan
Manuel E. Engelhorn United States
Moanaro Biswas United States
M J Ford relative to Clague P. Hodgson United States Clague P. Hodgson's profile →
Citations per field
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Clague P. Hodgson · 1×
Citations per year

Countries citing papers authored by M J Ford

Since Specialization
Citations

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

Fields of papers citing papers by M J Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M J Ford. 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 M J Ford. The network helps show where M J Ford may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1998383
2 1996210
3 1988167
4 198756
5 199549
6 197639
7 199822
8 200017
9 199916
10 199812
11 199810

About M J Ford

M J Ford is a scholar working on Molecular Biology, Epidemiology, Genetics, Immunology and Infectious Diseases, having authored 11 papers that have together received 981 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), RNA Interference and Gene Delivery (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Bacteriophages and microbial interactions (2 papers), RNA and protein synthesis mechanisms (2 papers), Immunotherapy and Immune Responses (2 papers), CRISPR and Genetic Engineering (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Immunology (381 citations), Genetics (277 citations), Biotechnology (84 citations), Oncology (234 citations) and Molecular Biology (555 citations). M J Ford has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include David P. Lane, Michael D. Jacobson, Nicola Hardwick, Alan Melcher, Richard G. Vile, Stephen Todryk, Ian A. Anton, Alexander L. Rakhmilevich, W H Sun and Paul M. Sondel. Their work appears in journals such as Genomics, Nature Medicine, Advances in experimental medicine and biology, Journal of General Virology and Antimicrobial Agents and Chemotherapy.

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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