Erica Dander

2.5k citations
41 papers · 1.5k · h-index 19

Impact in

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

Papers in

    • Hematopoietic Stem Cell Transplantation 12
    • Acute Myeloid Leukemia Research 9
    • Immune Cell Function and Interaction 10
    • T-cell and B-cell Immunology 7
    • Immunotherapy and Immune Responses 7

Erica Dander

40 papers receiving 1.4k citations

Peers

Erica Dander
Comparison fields: 5 of 87
  • Immunology 641
  • Hematology 335
  • Genetics 240
  • Oncology 382
  • Parasitology 67
Replace Thomas Eiermann with:
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Erica Dander relative to Thomas Eiermann Germany Thomas Eiermann's profile →
Citations per field
00.5×1.7×
Thomas Eiermann · 1×
Citations per year

Countries citing papers authored by Erica Dander

Since Specialization
Citations

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

Fields of papers citing papers by Erica Dander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009278
2 2020192
3 2007153
4 2004136
5 200995
6 201566
7 200963
8 200663
9 200745
10 202141
11 201339
12 200727
13 202026
14 201226
15 202123
16 201823
17 201822
18 202219
19 201218
20 200615

About Erica Dander

Erica Dander is a scholar working on Hematology, Immunology, Molecular Biology, Genetics and Oncology, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (12 papers), Mesenchymal stem cell research (10 papers), Immune Cell Function and Interaction (10 papers), Acute Myeloid Leukemia Research (9 papers), T-cell and B-cell Immunology (7 papers), Immunotherapy and Immune Responses (7 papers), Acute Lymphoblastic Leukemia research (5 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Immunology (641 citations), Hematology (335 citations), Genetics (240 citations), Oncology (382 citations) and Parasitology (67 citations). Erica Dander has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Giovanna D’Amico, Andrea Biondi, Fabrizia Vanzetta, Annalisa Macagno, Nadia L. Bernasconi, Maria Grazia Revello, Antonella Sarasini, Federica Sallusto, Antonio Lanzavecchia and Giuseppe Gerna. Their work appears in journals such as Blood, Experimental Hematology, British Journal of Haematology, International Journal of Molecular Sciences and Haematologica.

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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