Jackson Loyal

9 papers receiving 316 citations

Jackson Loyal's Hit Papers

Implanted pluripotent stem-cell-derived pancreatic endoderm cells secrete glucose-responsive C-peptide in patients with type 1 diabetes 2021 · 234 citations
2340+1+3Years since publication50100150200

Peers

Jackson Loyal
Comparison fields: 5 of 43
  • Endocrinology, Diabetes and Metabolism 99
  • Surgery 186
  • Genetics 108
  • Molecular Biology 85
  • Aging 2
Replace Michiel F. Nijhoff with:
Michiel F. Nijhoff Netherlands
Peter Sand Sweden
Chang Siang Lim Singapore
Alexis Dourado Guedes Brazil
Jennifer Reifsnyder United States
Christopher Moudiotis United Kingdom
Laura A. Knecht United States
Cheng‐Min Liu Taiwan
Aaron Bernie United States
Shawna Fox United States
Jackson Loyal relative to Michiel F. Nijhoff Netherlands Michiel F. Nijhoff's profile →
Citations per field
00.5×5.7×
Michiel F. Nijhoff · 1×
Citations per year

Countries citing papers authored by Jackson Loyal

Since Specialization
Citations

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

Fields of papers citing papers by Jackson Loyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Implanted pluripotent stem-cell-derived pancreatic endoderm cells secrete glucose-responsive C-peptide in patients with type 1 diabetes
Hit paper breakdown →
2021234
2 202218
3 202217
4 202212
5 202210
6 20239
7 20249
8 20227
9 20227
10 20250
11 20260

About Jackson Loyal

Jackson Loyal is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism, Surgery, General Health Professions and Pediatrics, Perinatology and Child Health, having authored 11 papers that have together received 323 indexed citations. Recurring topics across this work include Diabetes Management and Research (2 papers), Opioid Use Disorder Treatment (2 papers), Healthcare Decision-Making and Restraints (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Diabetes and associated disorders (1 paper), HIV, Drug Use, Sexual Risk (1 paper), Prenatal Substance Exposure Effects (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (99 citations), Surgery (186 citations), Genetics (108 citations), Molecular Biology (85 citations) and Aging (2 citations). Jackson Loyal has collaborated with scholars based in Canada, United States and New Zealand. Frequent co-authors include Laura Cook, Kirsten A. Ward‐Hartstonge, Garth L. Warnock, Megan K. Levings, David Thompson, Rosa V. Garcia, Peter T. W. Kim, Sabine Ivison, Timothy J. Kieffer and Adam Ramzy. Their work appears in journals such as BMJ Open, International Journal of Drug Policy, Cell stem cell, Social Science & Medicine and BMC Health Services Research.

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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