Joan Parton

482 citations
13 papers · 370 · h-index 8

Impact in

    • Bee Products Chemical Analysis
    • Insect and Pesticide Research
    • Immune Response and Inflammation

Papers in

    • Immune Response and Inflammation 8
    • Sphingolipid Metabolism and Signaling 3
    • Lipid Membrane Structure and Behavior 3

Joan Parton

13 papers receiving 360 citations

Peers

Joan Parton
Comparison fields: 5 of 78
  • Insect Science 135
  • Immunology 106
  • Food Science 75
  • Pharmacology 66
  • Hematology 31
Replace Achchhe Lal Vishwakarma with:
Achchhe Lal Vishwakarma India
Seyyed Masoud Davoudi Iran
Fahri Bayıroğlu Türkiye
Hae-Young Kim South Korea
Nednapis Tirawanchai Thailand
Thiago Macêdo Lopes Correia Brazil
Jiang Tan China
Maria Carmela Padula Italy
Eduardo Caberlon Brazil
Ji-Sook Lee South Korea
Joan Parton relative to Achchhe Lal Vishwakarma India Achchhe Lal Vishwakarma's profile →
Citations per field
00.5×7.8×
Achchhe Lal Vishwakarma · 1×
Citations per year

Countries citing papers authored by Joan Parton

Since Specialization
Citations

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

Fields of papers citing papers by Joan Parton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Joan Parton, 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 Joan Parton Line = papers co-authored together Joan Parton links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2007143
2 200969
3 199348
4 200833
5 200527
6
Interferon-gamma and polyunsaturated fatty acids increase the binding of lipopolysaccharide to macrophages.
199411
7 199010
8 20049
9 20057
10 19955
11 19904
12 20103
13 20031

About Joan Parton

Joan Parton is a scholar working on Immunology, Molecular Biology, Pathology and Forensic Medicine, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 370 indexed citations. Recurring topics across this work include Immune Response and Inflammation (8 papers), Sphingolipid Metabolism and Signaling (3 papers), Lipid Membrane Structure and Behavior (3 papers), Neuroscience of respiration and sleep (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Fatty Acid Research and Health (2 papers), Neonatal Respiratory Health Research (2 papers) and Neutropenia and Cancer Infections (2 papers). The work is most often cited by research in Insect Science (135 citations), Immunology (106 citations), Food Science (75 citations), Pharmacology (66 citations) and Hematology (31 citations). Joan Parton has collaborated with scholars based in United Kingdom, New Zealand and Australia. Frequent co-authors include Simon K. Jackson, Alex Tonks, Emma L. Smith, N. G. Porter, Edward G. Dudley, John Brazier, Wondwossen Abate, John L. Harwood, CD Fegan and C Poynton. Their work appears in journals such as Journal of Leukocyte Biology, Archives of Disease in Childhood, Journal of Lipid Research, Immunobiology and Advances in experimental medicine and biology.

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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