Gregory S. Ford

979 citations
17 papers · 752 · h-index 11

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation

Papers in

    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 4

Gregory S. Ford

17 papers receiving 730 citations

Peers

Gregory S. Ford
Comparison fields: 5 of 115
  • Immunology 390
  • Modeling and Simulation 23
  • Oncology 126
  • Orthopedics and Sports Medicine 34
  • General Dentistry 6
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Citations per field
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Citations per year

Countries citing papers authored by Gregory S. Ford

Since Specialization
Citations

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

Fields of papers citing papers by Gregory S. Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2003245
2 2020151
3 2001116
4 199968
5 200528
6 200027
7 200527
8
CD40 ligand exerts differential effects on the expression of I gamma transcripts in subclones of an IgM+ human B cell lymphoma line.
199822
9 199819
10 202013
11 200010
12
Silver-Collagen Dressing and High-voltage, Pulsed-current Therapy for the Treatment of Chronic Full-thickness Wounds: A Case Series.
20168
13 20197
14 20224
15
The Effect of 4 Different Durations of Static Hamstring Stretching on Passive Knee-Extension Range of Motion in Healthy Subjects
20103
16 20223
17 20231

About Gregory S. Ford

Gregory S. Ford is a scholar working on Immunology, Molecular Biology, Clinical Psychology, Orthopedics and Sports Medicine and Health, having authored 17 papers that have together received 752 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (4 papers), Sports injuries and prevention (3 papers), COVID-19 and Mental Health (3 papers), Sports and Physical Education Research (2 papers), NF-κB Signaling Pathways (2 papers) and Health disparities and outcomes (2 papers). The work is most often cited by research in Immunology (390 citations), Modeling and Simulation (23 citations), Oncology (126 citations), Orthopedics and Sports Medicine (34 citations) and General Dentistry (6 citations). Gregory S. Ford has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include Violette Paragas, Sarah West, Shannon P. Lupien, Jennifer L. Scheid, Bryan C. Barnhart, Lori R. Covey, Niroshana Anandasabapathy, Claire Holness, C. Garrison Fathman and Luis Soares. Their work appears in journals such as The Journal of Immunology, Immunology, Journal of Sport Rehabilitation, Immunity and International Journal of Environmental Research and Public Health.

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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