Amy Ko

962 citations
38 papers · 699 · h-index 12

Impact in

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

Papers in

    • Colorectal Cancer Treatments and Studies 9
    • Cancer Treatment and Pharmacology 9
    • Pancreatic and Hepatic Oncology Research 5
    • Cancer Immunotherapy and Biomarkers 4
    • Lung Cancer Treatments and Mutations 16

Amy Ko

38 papers receiving 691 citations

Peers

Amy Ko
Comparison fields: 5 of 69
  • Genetics 312
  • Hematology 278
  • Internal Medicine 38
  • Oncology 201
  • Rheumatology 80
Replace Damla Olcaydu with:
Damla Olcaydu Austria
Jun Ooehara Japan
Selçuk Sözer Türkiye
Amélia G. Araújo Brazil
Yongjun Yin United States
Nancy E. Kirschbaum United States
MinMin Lu United States
P. W. Modderman Netherlands
Christine Hoyle United Kingdom
Lorenza Caneva Italy
Amy Ko relative to Damla Olcaydu Austria Damla Olcaydu's profile →
Citations per field
00.5×3.8×
Damla Olcaydu · 1×
Citations per year

Countries citing papers authored by Amy Ko

Since Specialization
Citations

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

Fields of papers citing papers by Amy Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016189
2 201472
3 201765
4 201043
5 200842
6 201434
7 201432
8 201528
9 201627
10 201524
11 201423
12 201523
13 201910
14 20189
15 20168
16 20118
17 20187
18 20137
19 20076
20 20175

About Amy Ko

Amy Ko is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Genetics and Hematology, having authored 38 papers that have together received 699 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (16 papers), Colorectal Cancer Treatments and Studies (9 papers), Cancer Treatment and Pharmacology (9 papers), Cancer Genomics and Diagnostics (9 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Pancreatic and Hepatic Oncology Research (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Genetics (312 citations), Hematology (278 citations), Internal Medicine (38 citations), Oncology (201 citations) and Rheumatology (80 citations). Amy Ko has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Ann Mullally, Edwin Chen, Shannon Elf, Rebekka K. Schneider, Emily A. Rosen, Nouran S. Abdelfattah, Mark A. Socinski, Silvia Giannini, Markus F. Renschler and Elizabeth A. Morgan. Their work appears in journals such as Journal of Clinical Oncology, Blood, Journal of Thoracic Oncology, Annals of Oncology and International Journal of Radiation Oncology*Biology*Physics.

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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