Dawn Kelly-Sullivan

567 citations
10 papers · 395 · h-index 9

Impact in

Papers in

    • Cannabis and Cannabinoid Research 6
    • Pancreatic function and diabetes 2
    • Xenotransplantation and immune response 1

Dawn Kelly-Sullivan

10 papers receiving 384 citations

Peers

Dawn Kelly-Sullivan
Comparison fields: 5 of 51
  • Transplantation 63
  • Pharmacology 180
  • Endocrine and Autonomic Systems 33
  • Cellular and Molecular Neuroscience 76
  • Endocrinology, Diabetes and Metabolism 60
Replace Anis Klouz with:
Anis Klouz Tunisia
Junichi Asaka Japan
Christine McCarthy Ireland
P Konturek Germany
J.F. Gautier France
Daniela Ibarra Gasparini Italy
Lena Brändén Sweden
Henrique Reguengo Portugal
Julie Islam United States
Toshiaki Nagano Japan
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Citations per field
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Citations per year

Countries citing papers authored by Dawn Kelly-Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Dawn Kelly-Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dawn Kelly-Sullivan. 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 Dawn Kelly-Sullivan. The network helps show where Dawn Kelly-Sullivan may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2003156
2 199555
3 199548
4 201236
5 199528
6 200822
7 201020
8 200216
9 201012
10
Autotransplantation of unpurified pancreatic islets of Langerhans into different sites in the canine model.
19952

About Dawn Kelly-Sullivan

Dawn Kelly-Sullivan is a scholar working on Pharmacology, Surgery, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Transplantation, having authored 10 papers that have together received 395 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (6 papers), Renal Transplantation Outcomes and Treatments (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Pancreatic function and diabetes (2 papers), Neurological Complications and Syndromes (1 paper), Xenotransplantation and immune response (1 paper), Diabetes and associated disorders (1 paper) and Quinazolinone synthesis and applications (1 paper). The work is most often cited by research in Transplantation (63 citations), Pharmacology (180 citations), Endocrine and Autonomic Systems (33 citations), Cellular and Molecular Neuroscience (76 citations) and Endocrinology, Diabetes and Metabolism (60 citations). Dawn Kelly-Sullivan has collaborated with scholars based in United States. Frequent co-authors include Shawn C. Black, Audrey L. Hildebrandt, M. S. A. Kumar, Ismail H. Al-Abdullah, George M. Abouna, Jeffrey H. Loose, Rebecca E. O’Connor, Karen Ward, Dennis O. Scott and John R. Hadcock. Their work appears in journals such as Transplantation, Biochemical and Biophysical Research Communications, ACS Medicinal Chemistry Letters, Cell Transplantation and American Journal of Physiology-Endocrinology and Metabolism.

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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