Kate Gardner

1.2k citations
30 papers · 616 · h-index 13

Impact in

  • Genetics top 2%
    • Hemoglobinopathies and Related Disorders
  • Hematology top 5%
    • Blood groups and transfusion
    • Iron Metabolism and Disorders

Papers in

    • Hemoglobinopathies and Related Disorders 17
    • Iron Metabolism and Disorders 12
    • Blood groups and transfusion 7

Kate Gardner

29 papers receiving 604 citations

Peers

Kate Gardner
Comparison fields: 5 of 60
  • Genetics 359
  • Hematology 331
  • Physiology 129
  • Obstetrics and Gynecology 37
  • Pediatrics, Perinatology and Child Health 92
Replace Veronica H. Flood with:
Veronica H. Flood United States
Jay Patel United States
Mark D. Moncino United States
Nasrollah Hakami United States
Corrina McMahon Ireland
Mai Sato Japan
Lixian Sun United States
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Citations per field
00.5×3.3×
Veronica H. Flood · 1×
Citations per year

Countries citing papers authored by Kate Gardner

Since Specialization
Citations

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

Fields of papers citing papers by Kate Gardner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201596
2 201562
3 201452
4 201447
5 200946
6 200738
7 201435
8 201831
9 201624
10 201023
11 201323
12 201816
13 201516
14 201012
15 201011
16 201611
17 200510
18 201710
19 201810
20 202210

About Kate Gardner

Kate Gardner is a scholar working on Genetics, Hematology, Pulmonary and Respiratory Medicine, Rheumatology and Epidemiology, having authored 30 papers that have together received 616 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (17 papers), Iron Metabolism and Disorders (12 papers), Blood groups and transfusion (7 papers), Erythrocyte Function and Pathophysiology (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Gastrointestinal Tumor Research and Treatment (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Autopsy Techniques and Outcomes (2 papers). The work is most often cited by research in Genetics (359 citations), Hematology (331 citations), Physiology (129 citations), Obstetrics and Gynecology (37 citations) and Pediatrics, Perinatology and Child Health (92 citations). Kate Gardner has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Swee Lay Thein, Aleksandar Mijović, Jennifer Vidler, Carolyn Hoppe, David C. Rees, Barbara Collins, Ian Judson, Michelle Scurr, Helen Young and Marcelo Marotti. Their work appears in journals such as British Journal of Haematology, Blood, Blood Advances, American Journal of Hematology and Australian and New Zealand Journal of Obstetrics and Gynaecology.

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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