Grace Ku

4.6k citations
57 papers · 3.0k · 2 hit papers · h-index 23

Impact in

Papers in

Grace Ku

56 papers receiving 2.9k citations

Grace Ku's Hit Papers

Genetic risk stratification and outcomes among treatment-naive patients with AML treated with venetoclax and azacitidine 2024 · 57 citations
570+2+4Years since publication100200300400

Peers

Grace Ku
Comparison fields: 5 of 105
  • Pathology and Forensic Medicine 744
  • Neurology 302
  • Developmental Neuroscience 130
  • Hematology 328
  • Internal Medicine 93
Replace Jens Neumann with:
Jens Neumann Germany
Hisao Hirota Japan
Margitta Elvers Germany
Chuanzhen Lü China
Toya Ohashi Japan
Tatsuo Kohriyama Japan
Benno Küsters Netherlands
Mark O.M. Tso United States
David Stegner Germany
Aimee Y. Yu United States
Grace Ku relative to Jens Neumann Germany Jens Neumann's profile →
Citations per field
00.5×7.3×
Jens Neumann · 1×
Citations per year

Countries citing papers authored by Grace Ku

Since Specialization
Citations

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

Fields of papers citing papers by Grace Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Polatuzumab Vedotin in Relapsed or Refractory Diffuse Large B-Cell Lymphoma
Hit paper breakdown →
2019485
2 1996396
3 2004253
4 2001210
5 2001158
6 2008141
7 2001134
8 1999120
9 2001118
10 2001117
11 2021114
12 199464
13
Genetic risk stratification and outcomes among treatment-naive patients with AML treated with venetoclax and azacitidine
Hit paper breakdown →
202457
14 199351
15 202250
16 200048
17 201841
18 202236
19 202231
20 200029

About Grace Ku

Grace Ku is a scholar working on Hematology, Pathology and Forensic Medicine, Immunology, Oncology and Molecular Biology, having authored 57 papers that have together received 3.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Lymphoma Diagnosis and Treatment (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), T-cell and B-cell Immunology (7 papers), Multiple Myeloma Research and Treatments (6 papers), Chronic Myeloid Leukemia Treatments (4 papers), Immune Response and Inflammation (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (744 citations), Neurology (302 citations), Developmental Neuroscience (130 citations), Hematology (328 citations) and Internal Medicine (93 citations). Grace Ku has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Chung Y. Hsu, Jan Xu, Shawei Chen, David M. Livingston, Ralph Scully, Najing Zhou, Tso‐Pang Yao, Xiao‐Ming Xu, Hong Chen and Alex F. Herrera. Their work appears in journals such as Blood, Surgery, Journal of Clinical Oncology, European Journal of Immunology and Cellular Immunology.

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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