Stephen Haigh

1.0k citations
22 papers · 631 · h-index 11

Impact in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Galectins and Cancer Biology
    • Atherosclerosis and Cardiovascular Diseases
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Protein Tyrosine Phosphatases 3
    • Galectins and Cancer Biology 5
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
    • Atherosclerosis and Cardiovascular Diseases 2

Stephen Haigh

22 papers receiving 627 citations

Peers

Stephen Haigh
Comparison fields: 5 of 80
  • Immunology 147
  • Neurology 56
  • Physiology 143
  • Developmental Neuroscience 21
  • Pulmonary and Respiratory Medicine 150
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Haigh

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Haigh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012145
2 201693
3 201764
4 201760
5 201955
6 201841
7 201939
8 201928
9 202127
10 201620
11 201615
12 202310
13 20188
14 20226
15 20245
16 20233
17 20243
18 20233
19 20232
20 20222

About Stephen Haigh

Stephen Haigh is a scholar working on Molecular Biology, Immunology, Physiology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 631 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (6 papers), Galectins and Cancer Biology (5 papers), Nitric Oxide and Endothelin Effects (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Protein Tyrosine Phosphatases (3 papers), Peptidase Inhibition and Analysis (3 papers), Adipose Tissue and Metabolism (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). The work is most often cited by research in Immunology (147 citations), Neurology (56 citations), Physiology (143 citations), Developmental Neuroscience (21 citations) and Pulmonary and Respiratory Medicine (150 citations). Stephen Haigh has collaborated with scholars based in United States, China and Germany. Frequent co-authors include David Fulton, Feng Chen, Scott A. Barman, Xueyi Li, Zsuzsanna Bordán, David W. Stepp, Jiliang Zhou, Neal L. Weintraub, Yusi Wang and Keyvan Mahboubi. Their work appears in journals such as Frontiers in Immunology, Arteriosclerosis Thrombosis and Vascular Biology, Antioxidants and Redox Signaling, Antioxidants and The FASEB Journal.

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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