Elisa Dan

1.2k citations
18 papers · 715 · h-index 9

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Hematopoietic Stem Cell Transplantation 8
    • Acute Myeloid Leukemia Research 4
    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 3

Elisa Dan

18 papers receiving 685 citations

Peers

Elisa Dan
Comparison fields: 5 of 66
  • Hematology 227
  • Immunology 305
  • Oncology 220
  • Behavioral Neuroscience 27
  • Clinical Psychology 138
Replace Justin T. Wahlstrom with:
Justin T. Wahlstrom United States
Kathy White United States
Stephen Wease United States
Eva Haastrup Denmark
Jeff Gregg United States
Vijayveer Bonthapally United States
Sarah Y. Liu United States
Ram Seth United Kingdom
Sarah E. Chang United States
Keri B. Vartanian United States
Elisa Dan relative to Justin T. Wahlstrom United States Justin T. Wahlstrom's profile →
Citations per field
00.5×10×17.3×
Justin T. Wahlstrom · 1×
Citations per year

Countries citing papers authored by Elisa Dan

Since Specialization
Citations

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

Fields of papers citing papers by Elisa Dan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2011315
2 1988191
3 201073
4 201525
5 201722
6 201321
7 201120
8 201817
9 20129
10 20186
11 20224
12 20224
13 20233
14 20251
15 20091
16 20221
17 20101
18 20221

About Elisa Dan

Elisa Dan is a scholar working on Hematology, Immunology, Public Health, Environmental and Occupational Health, Genetics and Molecular Biology, having authored 18 papers that have together received 715 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (8 papers), Immune Cell Function and Interaction (4 papers), Acute Myeloid Leukemia Research (4 papers), T-cell and B-cell Immunology (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Liver physiology and pathology (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Hematology (227 citations), Immunology (305 citations), Oncology (220 citations), Behavioral Neuroscience (27 citations) and Clinical Psychology (138 citations). Elisa Dan has collaborated with scholars based in Italy, France and Austria. Frequent co-authors include Julia B. Frank, Earl L. Giller, Thomas R. Kosten, Maria Rosa Motta, Roberto M. Lemoli, Michele Baccarani, Giuseppe Bandini, Antonio Curti, Alessandra D’Addio and Andrea Bontadini. Their work appears in journals such as Bone Marrow Transplantation, Blood, Frontiers in Oncology, Frontiers in Immunology and Digestive and Liver Disease.

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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