Andrew S. Daly

3.2k citations
99 papers · 2.6k · h-index 31

Impact in

  • Hematology top 0.5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments

Papers in

    • Hematopoietic Stem Cell Transplantation 52
    • Acute Myeloid Leukemia Research 2
    • Viral-associated cancers and disorders 6

Andrew S. Daly

95 papers receiving 2.6k citations

Peers

Andrew S. Daly
Comparison fields: 5 of 60
  • Hematology 1.3k
  • Microbiology 27
  • Genetics 191
  • Oncology 213
  • Immunology 82
Replace Thomas L. Kiss with:
Thomas L. Kiss Canada
Marco Rabusin Italy
Stacey Ann Goodman United States
Steven C. Goldstein United States
E. C. Gordon‐Smith United Kingdom
Alessandro Gozzetti Italy
Minoko Takanashi Japan
Hans Hägglund Sweden
Fen Huang China
Shin Fujisawa Japan
Andrew S. Daly relative to Thomas L. Kiss Canada Thomas L. Kiss's profile →
Citations per field
00.5×2×4×5.4×
Thomas L. Kiss · 1×
Citations per year

Countries citing papers authored by Andrew S. Daly

Since Specialization
Citations

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

Fields of papers citing papers by Andrew S. Daly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew S. Daly. 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 Andrew S. Daly. The network helps show where Andrew S. Daly may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019154
2 2010148
3 2012133
4 2019102
5 200476
6 201872
7 200370
8 200265
9 201665
10 201861
11 200560
12 201859
13 200955
14 200353
15 202053
16 201151
17 200349
18 201749
19 201746
20 201445

About Andrew S. Daly

Andrew S. Daly is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Genetics and Epidemiology, having authored 99 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (52 papers), Viral-associated cancers and disorders (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Multiple and Secondary Primary Cancers (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Cancer-related cognitive impairment studies (2 papers), Acute Myeloid Leukemia Research (2 papers) and CNS Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (1.3k citations), Microbiology (27 citations), Genetics (191 citations), Oncology (213 citations) and Immunology (82 citations). Andrew S. Daly has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Jan Storek, Douglas Allan Stewart, Jeffrey Howard Lipton, Faisal Masood Khan, Hans A. Messner, Thomas L. Kiss, Peter Raymond Duggan, Wanda S. Hasegawa, Robert J. Soiffer and Edmund K. Waller. Their work appears in journals such as Transplantation and Cellular Therapy, Bone Marrow Transplantation, Blood, Blood Advances and Cytotherapy.

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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