Ann Koay

1.0k citations
15 papers · 791 · h-index 9

Impact in

  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments

Papers in

    • Metabolism, Diabetes, and Cancer 8
    • RNA and protein synthesis mechanisms 3
    • RNA modifications and cancer 2
    • Pancreatic function and diabetes 7

Ann Koay

13 papers receiving 786 citations

Peers

Ann Koay
Comparison fields: 5 of 64
  • Genetics 216
  • Hematology 168
  • Physiology 39
  • Molecular Biology 551
  • Rheumatology 91
Replace Hsiao-Ling Hung with:
Hsiao-Ling Hung United States
Yun Zhou China
Lotte van Hessem United States
Joo‐Yun Byun South Korea
Xiaoming Huang China
Naotika Toki Japan
Abdelouahid El‐Khattouti Germany
Alena Chumanevich United States
J. Todd Williams United States
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Citations per field
00.5×11.7×
Hsiao-Ling Hung · 1×
Citations per year

Countries citing papers authored by Ann Koay

Since Specialization
Citations

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

Fields of papers citing papers by Ann Koay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2015233
2 2008215
3 2015121
4 201056
5 201938
6 200736
7 200732
8 201529
9 201218
10 20236
11 20183
12 20233
13 20181
14 20230
15 20160

About Ann Koay

Ann Koay is a scholar working on Molecular Biology, Surgery, Rheumatology, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics, having authored 15 papers that have together received 791 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (8 papers), Pancreatic function and diabetes (7 papers), Glycogen Storage Diseases and Myoclonus (4 papers), RNA and protein synthesis mechanisms (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), RNA modifications and cancer (2 papers), Chronic Myeloid Leukemia Treatments (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Genetics (216 citations), Hematology (168 citations), Physiology (39 citations), Molecular Biology (551 citations) and Rheumatology (91 citations). Ann Koay has collaborated with scholars based in Australia, Singapore and United States. Frequent co-authors include David Stapleton, Paul R. Gooley, Bruce E. Kemp, John W. Scott, Jonathan S. Oakhill, Bryce J. W. van Denderen, Tristan J. Iseli, Gregory R. Steinberg, Sebastian B. Jørgensen and Jane Honeyman. Their work appears in journals such as FEBS Letters, The Plant Journal, Biochemical and Biophysical Research Communications, Blood and Chemosphere.

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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