Ryan Sullivan

625 citations
11 papers · 357 · h-index 7

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Reproductive System and Pregnancy
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

Ryan Sullivan

11 papers receiving 346 citations

Peers

Ryan Sullivan
Comparison fields: 5 of 76
  • Immunology 204
  • Oncology 94
  • Hematology 25
  • Computer Science Applications 8
  • Virology 5
Replace Laurent Schmied with:
Laurent Schmied Switzerland
Laura Surace France
Janine Melsen Netherlands
Suzanne R. Thibodeaux United States
Miguel Ángel Vesga Spain
Sebastian Bittner Germany
Iwona Osińska Poland
Yanjie Zhao China
Chang Woo Lee South Korea
Marı́a Victoria Girart Argentina
Ryan Sullivan relative to Laurent Schmied Switzerland Laurent Schmied's profile →
Citations per field
00.5×1.5×2.4×
Laurent Schmied · 1×
Citations per year

Countries citing papers authored by Ryan Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2017223
2 201540
3 201932
4 200719
5
Stimulation of increased capillary endothelial cell motility by chondrosarcoma cell-derived factors.
198313
6 201812
7 20246
8 20245
9 20185
10 20241
11 20251

About Ryan Sullivan

Ryan Sullivan is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology, Surgery, Molecular Biology and Endocrine and Autonomic Systems, having authored 11 papers that have together received 357 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (2 papers), Diabetes Treatment and Management (2 papers), Pancreatic function and diabetes (2 papers), Alzheimer's disease research and treatments (1 paper), Cancer Genomics and Diagnostics (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper), Enzyme Structure and Function (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Immunology (204 citations), Oncology (94 citations), Hematology (25 citations), Computer Science Applications (8 citations) and Virology (5 citations). Ryan Sullivan has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Jeffrey Leong, Maximillian Rosario, Julia Wagner, Rizwan Romee, Brea A. Jewell, Michelle Becker‐Hapak, Justin King, Ravi Vij, Dennis Clement and Karl‐Johan Malmberg. Their work appears in journals such as Western Journal of Emergency Medicine, JMIR Medical Education, GeroScience, Journal of Clinical Investigation and Aging Cell.

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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