Kate Ryan

2.4k citations
43 papers · 1.4k · h-index 17

Impact in

  • Genetics top 2%
    • Hemoglobinopathies and Related Disorders
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
  • Hematology top 2%
    • Iron Metabolism and Disorders
    • Blood groups and transfusion

Papers in

    • Hemoglobinopathies and Related Disorders 9
    • Iron Metabolism and Disorders 3
    • Blood groups and transfusion 2

Kate Ryan

38 papers receiving 1.3k citations

Peers

Kate Ryan
Comparison fields: 5 of 113
  • Genetics 514
  • Hematology 372
  • Biochemistry 86
  • Biomaterials 106
  • Critical Care and Intensive Care Medicine 28
Replace James M. Reuben with:
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Kate Ryan relative to James M. Reuben United States James M. Reuben's profile →
Citations per field
00.5×10×15×21.5×
James M. Reuben · 1×
Citations per year

Countries citing papers authored by Kate Ryan

Since Specialization
Citations

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

Fields of papers citing papers by Kate Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005246
2 2010197
3 2015112
4 201595
5 201687
6 201685
7 200865
8 201264
9 201861
10 200745
11 199945
12 201445
13 201635
14 201131
15 201920
16 202118
17 201717
18 199716
19 202216
20 201315

About Kate Ryan

Kate Ryan is a scholar working on Genetics, Hematology, Surgery, Cognitive Neuroscience and Biomaterials, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (9 papers), Antibiotic Resistance in Bacteria (3 papers), Iron Metabolism and Disorders (3 papers), Supramolecular Self-Assembly in Materials (3 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Autism Spectrum Disorder Research (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Genetics (514 citations), Hematology (372 citations), Biochemistry (86 citations), Biomaterials (106 citations) and Critical Care and Intensive Care Medicine (28 citations). Kate Ryan has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Andréi L. Kholkin, Brian J. Rodriguez, Shivan Pancham, Nicolae‐Viorel Buchete, Amrana Qureshi, Barbara J. Bain, Shubha Allard, Nay Win, Allison Streetly and Bernard A. Davis. Their work appears in journals such as British Journal of Haematology, Transfusion Medicine, Science and Technology of Advanced Materials, The Lancet Infectious Diseases and Autoimmunity Reviews.

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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