Sara McCurdy

677 citations
23 papers · 435 indexed · h-index 11

Impact in

    • Atherosclerosis and Cardiovascular Diseases
    • Immune cells in cancer
    • IL-33, ST2, and ILC Pathways
    • MicroRNA in disease regulation

Papers in

    • Atherosclerosis and Cardiovascular Diseases 7
    • Immune cells in cancer 3
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
    • Invertebrate Immune Response Mechanisms 2
    • Cell Adhesion Molecules Research 3

Sara McCurdy

22 papers receiving 432 citations

Peers

Sara McCurdy
Comparison fields: 5 of 75
  • Immunology 167
  • Cancer Research 78
  • Biological Psychiatry 9
  • Molecular Biology 201
  • Neurology 16
Replace Hozaifa Metwally with:
Hozaifa Metwally Japan
Tomasz Ślebioda Poland
Hongdi Ma China
Yuexin Yang China
Tina Rubic-Schneider Switzerland
Yin‐Hu Wang United States
Lisa Abernathy‐Close United States
Raquel Gómez-Bris Spain
Xiuli Zhang China
Huimin Chen China
Sara McCurdy relative to Hozaifa Metwally Japan Hozaifa Metwally's profile →
Citations per field
00.5×
Hozaifa Metwally · 1×
Citations per year

Countries citing papers authored by Sara McCurdy

Since Specialization
Citations

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

Fields of papers citing papers by Sara McCurdy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20235
3 202110
4 202126
5 202113
6 202110
7 202010
8 201912
9 201820
10 201790
11 20171
12 201725
13 201731
14 201635
15 201665
16 201534
17 20157
18 20151
19 20144
20 201322

About Sara McCurdy

Sara McCurdy is a scholar working on Immunology, Immunology and Allergy, Virology, Neurology and Cell Biology, having authored 23 papers that have together received 435 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (7 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Immune cells in cancer (3 papers), Cell Adhesion Molecules Research (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Invertebrate Immune Response Mechanisms (2 papers), Studies on Chitinases and Chitosanases (2 papers) and Inflammasome and immune disorders (2 papers). The work is most often cited by research in Immunology (167 citations), Cancer Research (78 citations), Biological Psychiatry (9 citations), Molecular Biology (201 citations) and Neurology (16 citations). Sara McCurdy has collaborated with scholars based in United States, Russia and South Korea. Frequent co-authors include William A. Boisvert, Yvonne Baumer, Nehal N. Mehta, Bog‐Hieu Lee, Tina M. Weatherby, Jonathan Yap, Noboru Yamazaki, Liangqun Lu, Karolina Peplowska and Sijia Huang. Their work appears in journals such as Scientific Reports, Atherosclerosis, Journal of Leukocyte Biology, Advanced Biology and Nature Communications.

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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