Hillary Hei

694 citations
9 papers · 591 · h-index 6

Impact in

  • Immunology top 10%
    • IL-33, ST2, and ILC Pathways
    • Immune Cell Function and Interaction
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Hillary Hei

8 papers receiving 577 citations

Peers

Hillary Hei
Comparison fields: 5 of 76
  • Immunology 247
  • Cancer Research 135
  • Pathology and Forensic Medicine 74
  • Surgery 138
  • Molecular Biology 178
Replace Mathieu Bourgey with:
Mathieu Bourgey Canada
Claudia Haftmann Germany
Amanda J. Murphy Canada
Ria Winkelmann Germany
Vanessa Buatois Switzerland
Virginia P. Van Keulen United States
Giuseppe De Santis Italy
María Pilar Armengol Spain
Zhuoru Liu United States
Pakpoom Supiyaphun Thailand
Hillary Hei relative to Mathieu Bourgey Canada Mathieu Bourgey's profile →
Citations per field
00.5×3.4×
Mathieu Bourgey · 1×
Citations per year

Countries citing papers authored by Hillary Hei

Since Specialization
Citations

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

Fields of papers citing papers by Hillary Hei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2012251
2 2013229
3 201536
4 201230
5 201822
6 201218
7 20224
8 20131
9 20220

About Hillary Hei

Hillary Hei is a scholar working on Molecular Biology, Immunology, Surgery, Biophysics and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 591 indexed citations. Recurring topics across this work include Eosinophilic Esophagitis (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Cell Image Analysis Techniques (2 papers), Single-cell and spatial transcriptomics (2 papers), Immune cells in cancer (1 paper), MicroRNA in disease regulation (1 paper), Digital Imaging for Blood Diseases (1 paper) and Central Venous Catheters and Hemodialysis (1 paper). The work is most often cited by research in Immunology (247 citations), Cancer Research (135 citations), Pathology and Forensic Medicine (74 citations), Surgery (138 citations) and Molecular Biology (178 citations). Hillary Hei has collaborated with scholars based in United States. Frequent co-authors include Richard Lee, Stephan Dobner, Rahul Kakkar, Roopali Gandhi, Parham Nejad, Bonny Patel, Tanuja Chitnis, Pia Kivisäkk, Howard L. Weiner and Brian C. Healy. Their work appears in journals such as American Journal of Infection Control, Journal of Neuroinflammation, The Journal of Immunology, Journal of Immunological Methods and Infection Control and Hospital Epidemiology.

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.

Explore authors with similar magnitude of impact