Nora Tu

716 citations
27 papers · 511 · h-index 10

Impact in

Papers in

    • Acute Myeloid Leukemia Research 9
    • Neutropenia and Cancer Infections 4
    • Cancer survivorship and care 2

Nora Tu

26 papers receiving 497 citations

Peers

Nora Tu
Comparison fields: 5 of 73
  • Biological Psychiatry 37
  • Hematology 136
  • Obstetrics and Gynecology 34
  • Behavioral Neuroscience 16
  • Genetics 40
Replace Tanja Falter with:
Tanja Falter Germany
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Dhelia Williamson United States
Melanie R. Ursell Canada
Maria Lopez-Bresnahan United States
Marine Auffret France
Vijayveer Bonthapally United States
Xuerui Tan China
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Nora Tu relative to Tanja Falter Germany Tanja Falter's profile →
Citations per field
00.5×5.7×
Tanja Falter · 1×
Citations per year

Countries citing papers authored by Nora Tu

Since Specialization
Citations

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

Fields of papers citing papers by Nora Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004159
2 201883
3 201259
4 201045
5 202130
6 201728
7 202221
8 199214
9 202113
10 202310
11 20209
12 20245
13 20215
14 20234
15 20204
16 20174
17 20233
18 20063
19 20212
20 20172

About Nora Tu

Nora Tu is a scholar working on Hematology, Oncology, Genetics, Rheumatology and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 511 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Neutropenia and Cancer Infections (4 papers), Musculoskeletal synovial abnormalities and treatments (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Cancer survivorship and care (2 papers). The work is most often cited by research in Biological Psychiatry (37 citations), Hematology (136 citations), Obstetrics and Gynecology (34 citations), Behavioral Neuroscience (16 citations) and Genetics (40 citations). Nora Tu has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Limin Shi, Paul H. Patterson, Maribel Salas, Christine Haller, Gerald V. Naccarelli, Mary Panaccio, Thomas E. Kearney, Zahidul Islam, Michelle D. Hackshaw and C.L. Beach. Their work appears in journals such as Future Oncology, Blood, BMC Cancer, Journal of Clinical Oncology and Frontiers in Pharmacology.

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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