Jill Ford

1.3k citations
17 papers · 1.1k · h-index 12

Impact in

  • Immunology top 5%
    • Inflammation biomarkers and pathways
    • Immune Cell Function and Interaction
    • Mast cells and histamine
    • T-cell and B-cell Immunology
    • Cell Adhesion Molecules Research

Papers in

    • Inflammation biomarkers and pathways 5
    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 3
    • Asthma and respiratory diseases 4

Jill Ford

17 papers receiving 1.0k citations

Peers

Jill Ford
Comparison fields: 5 of 88
  • Immunology 661
  • Immunology and Allergy 138
  • Neurology 100
  • Physiology 136
  • Oncology 134
Replace Jon D. Laman with:
Jon D. Laman Netherlands
Claire H. Sweenie United Kingdom
Hikoaki Fukaura Japan
Brett A. Premack United States
Félix A. Montero‐Julian France
J Silver United States
Christopher Piercy United States
M Rose United Kingdom
Hassan Madani Canada
Florencio Varas Spain
Jill Ford relative to Jon D. Laman Netherlands Jon D. Laman's profile →
Citations per field
00.5×
Jon D. Laman · 1×
Citations per year

Countries citing papers authored by Jill Ford

Since Specialization
Citations

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

Fields of papers citing papers by Jill Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2009386
2 2006174
3 201293
4 200888
5 200773
6 201363
7 201142
8 202231
9 201931
10 200622
11 202014
12 200814
13 201010
14 20048
15 20165
16 20141
17 20101

About Jill Ford

Jill Ford is a scholar working on Immunology, Physiology, Oncology, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Inflammation biomarkers and pathways (5 papers), Asthma and respiratory diseases (4 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Urticaria and Related Conditions (2 papers), Research on Leishmaniasis Studies (2 papers) and Inflammatory Biomarkers in Disease Prognosis (1 paper). The work is most often cited by research in Immunology (661 citations), Immunology and Allergy (138 citations), Neurology (100 citations), Physiology (136 citations) and Oncology (134 citations). Jill Ford has collaborated with scholars based in United States, Germany and Puerto Rico. Frequent co-authors include Daniel W. McVicar, Daniel H. Conrad, Jamie Sturgill, David R. Gibb, Deborah J. Fowell, Alexander F. Rosenberg, Shoshana D. Katzman, Christopher A. Lazarski, Steven Swendeman and Shelby P. Umland. Their work appears in journals such as The Journal of Immunology, Cellular Immunology, Current Opinion in Immunology, Frontiers in Immunology and Frontiers in Oncology.

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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