Nora Ku

4.5k citations
24 papers · 584 · h-index 11

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

Nora Ku

22 papers receiving 567 citations

Peers

Nora Ku
Comparison fields: 5 of 68
  • Hematology 250
  • Immunology 202
  • Genetics 99
  • Oncology 168
  • Biotechnology 45
Replace Ugo Consoli with:
Ugo Consoli Italy
VM Santana United States
J. Graham Sharp United States
DC Young United States
K G Schepers United States
Markus Müschen United States
Hideaki Mizoguchi Japan
Britta Maecker Germany
Esohe Idusogie United States
M. Brandely France
Nora Ku relative to Ugo Consoli Italy Ugo Consoli's profile →
Citations per field
00.5×3.9×
Ugo Consoli · 1×
Citations per year

Countries citing papers authored by Nora Ku

Since Specialization
Citations

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

Fields of papers citing papers by Nora Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994125
2
B cell reconstitution after human bone marrow transplantation: recapitulation of ontogeny?
1993117
3 201762
4 201955
5 201554
6 198430
7 202022
8 201422
9 201922
10 201921
11 201718
12 20216
13 20195
14 20175
15 20143
16 20183
17 20163
18
[A Case of Pediatric Soft Tissue Sarcoma with LMNA-NTRK1 Gene Fusion Treated with Larotrectinib under Single Patient Expanded Access System].
20193
19 20213
20 20231

About Nora Ku

Nora Ku is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Oncology, Hematology and Pathology and Forensic Medicine, having authored 24 papers that have together received 584 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (6 papers), CAR-T cell therapy research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Lung Cancer Treatments and Mutations (4 papers), Glioma Diagnosis and Treatment (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Cancer Mechanisms and Therapy (3 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Hematology (250 citations), Immunology (202 citations), Genetics (99 citations), Oncology (168 citations) and Biotechnology (45 citations). Nora Ku has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Richard E. Champlin, Janis V. Giorgi, Andrew Saxon, Jan Storek, Stephen A. Ferrara, Alexander Drilon, Thomas A. Reichert, Gary J. Schiller, James Gajewski and Stephen D. Nimer. Their work appears in journals such as Journal of Clinical Oncology, Blood, JCO Precision Oncology, Cancer Research and Molecular Cancer Therapeutics.

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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