Daniel Egan

728 citations
22 papers · 212 · h-index 8

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • Chronic Myeloid Leukemia Treatments
    • CAR-T cell therapy research

Papers in

    • Chronic Myeloid Leukemia Treatments 8
    • Acute Myeloid Leukemia Research 6
    • Chronic Lymphocytic Leukemia Research 9

Daniel Egan

22 papers receiving 209 citations

Peers

Daniel Egan
Comparison fields: 5 of 34
  • Hematology 127
  • Oncology 123
  • Genetics 33
  • Immunology 49
  • Molecular Biology 79
Replace Juan Carlos Balandrán with:
Juan Carlos Balandrán Mexico
Lars Fransecky Germany
Shaowei Qiu China
Fritz Van Rhee United States
Gabrielle T. Prince United States
Peter Tan Australia
Jean‐Valère Malfuson France
Raphael Teipel Germany
Meike Fischer Germany
Maria Gracia Gonzalez Spain
Daniel Egan relative to Juan Carlos Balandrán Mexico Juan Carlos Balandrán's profile →
Citations per field
00.5×
Juan Carlos Balandrán · 1×
Citations per year

Countries citing papers authored by Daniel Egan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Egan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202054
2 202332
3 200821
4 202217
5 201615
6 201414
7 202313
8 20248
9 20167
10 20166
11 20166
12 20235
13 20234
14 20162
15 20221
16 20201
17 20151
18 20131
19 20231
20 20121

About Daniel Egan

Daniel Egan is a scholar working on Hematology, Genetics, Oncology, Immunology and Rheumatology, having authored 22 papers that have together received 212 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (9 papers), Chronic Myeloid Leukemia Treatments (8 papers), Acute Myeloid Leukemia Research (6 papers), CAR-T cell therapy research (4 papers), Eosinophilic Disorders and Syndromes (4 papers), Fungal Plant Pathogen Control (2 papers), Quinazolinone synthesis and applications (2 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Hematology (127 citations), Oncology (123 citations), Genetics (33 citations), Immunology (49 citations) and Molecular Biology (79 citations). Daniel Egan has collaborated with scholars based in United States, South Africa and France. Frequent co-authors include Jerald P. Radich, Lan Beppu, Allen S. Yang, James M. Foran, Alessandro Pastore, Musa Yılmaz, Alice S. Mims, Farhad Ravandi, Wendy Stock and Asad Bashey. Their work appears in journals such as Blood, HemaSphere, Frontiers in Oncology, Expert Review of Molecular Diagnostics and American Journal of Hematology.

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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