Chrys Hulbert

599 citations
16 papers · 501 · h-index 11

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunodeficiency and Autoimmune Disorders
    • Immunotherapy and Immune Responses
  • Genetics top 5%
    • Diabetes and associated disorders

Papers in

    • Diabetes and associated disorders 14
    • T-cell and B-cell Immunology 8
    • Immune Cell Function and Interaction 7
    • Immunotherapy and Immune Responses 1

Chrys Hulbert

16 papers receiving 499 citations

Peers

Chrys Hulbert
Comparison fields: 5 of 40
  • Immunology 281
  • Genetics 337
  • Endocrinology, Diabetes and Metabolism 128
  • Surgery 179
  • Genetics 24
Replace Houria Ounissi‐Benkalha with:
Houria Ounissi‐Benkalha Canada
Rebecca Palmer-Crocker United States
E S Concepcion United States
Virginia Muir United States
Alexandros Kogimtzis United Kingdom
Hitomi Hiratani Japan
Lindsay Williams United States
Essi Laajala Finland
Xiangyu Teng China
Anton A. Titov United States
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Citations per field
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Houria Ounissi‐Benkalha · 1×
Citations per year

Countries citing papers authored by Chrys Hulbert

Since Specialization
Citations

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

Fields of papers citing papers by Chrys Hulbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2001122
2 200570
3 200162
4 200448
5 200932
6 201831
7 199124
8 198923
9 199622
10 201517
11 201015
12 201210
13 20209
14 19898
15 20207
16 20181

About Chrys Hulbert

Chrys Hulbert is a scholar working on Genetics, Immunology, Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 16 papers that have together received 501 indexed citations. Recurring topics across this work include Diabetes and associated disorders (14 papers), T-cell and B-cell Immunology (8 papers), Pancreatic function and diabetes (7 papers), Immune Cell Function and Interaction (7 papers), Diabetes Management and Research (5 papers), Cardiac electrophysiology and arrhythmias (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (281 citations), Genetics (337 citations), Endocrinology, Diabetes and Metabolism (128 citations), Surgery (179 citations) and Genetics (24 citations). Chrys Hulbert has collaborated with scholars based in United States and China. Frequent co-authors include James W. Thomas, Mauricio Rojas, Emily Woodward, Peggy L. Kendall, Rachel H. Bonami, E. Douglas Lewandowski, L J Nell, Jamie L. Felton, Damián Maseda and Wasif N. Khan. Their work appears in journals such as The Journal of Immunology, Magnetic Resonance in Medicine, Immunogenetics, ACS Applied Bio Materials and Diabetes.

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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