Michael Ford

2.3k citations
59 papers · 1.5k · h-index 19

Impact in

    • Protein purification and stability
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
  • Genetics top 10%

Papers in

    • vaccines and immunoinformatics approaches 6
    • Protein purification and stability 5
    • Immunotherapy and Immune Responses 6
    • Biosimilars and Bioanalytical Methods 5

Michael Ford

55 papers receiving 1.5k citations

Peers

Michael Ford
Comparison fields: 5 of 110
  • Molecular Biology 767
  • Genetics 282
  • Immunology 198
  • Oncology 220
  • Cancer Research 119
Replace Jun Ishizaki with:
Jun Ishizaki Japan
James T. White United States
Hideji Nakamura Japan
Kaushal Parikh Netherlands
Charles M. Quick United States
Bo Åkerström Sweden
Donge Tang China
Noriyuki Koyama Japan
Uwe J. Roblick Germany
Daniel Branstetter United States
Michael Ford relative to Jun Ishizaki Japan Jun Ishizaki's profile →
Citations per field
00.5×
Jun Ishizaki · 1×
Citations per year

Countries citing papers authored by Michael Ford

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014319
2 2012254
3 199678
4 202176
5 201875
6 198369
7 201666
8 201764
9 201860
10 201744
11 198738
12 199930
13 199029
14
Effect of feeding organic selenium in diets of laying hens on egg selenium content.
199926
15 201225
16 202423
17 201922
18 201921
19 201319
20 199716

About Michael Ford

Michael Ford is a scholar working on Molecular Biology, Immunology, Surgery, Dermatology and Epidemiology, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Immunotherapy and Immune Responses (6 papers), Advanced Proteomics Techniques and Applications (6 papers), vaccines and immunoinformatics approaches (6 papers), Protein purification and stability (5 papers), Biosimilars and Bioanalytical Methods (5 papers), Autoimmune Bullous Skin Diseases (4 papers) and Cancer and Skin Lesions (4 papers). The work is most often cited by research in Molecular Biology (767 citations), Genetics (282 citations), Immunology (198 citations), Oncology (220 citations) and Cancer Research (119 citations). Michael Ford has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Alexis Battle, Yoav Gilad, Sidney H. Wang, Zia Khan, Amy Mitrano, Jonathan K. Pritchard, Celina G. Kleer, Xiaoyan Li, Stephen J. Weiss and Zhao-Qiu Wu. Their work appears in journals such as Cancer Research, Nature Communications, Pediatric Dermatology, Journal of Visualized Experiments and Journal of the American Academy of Dermatology.

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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