Francesca D'adamo

431 citations
11 papers · 354 · h-index 8

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders
    • Chronic Lymphocytic Leukemia Research
    • Virus-based gene therapy research

Papers in

Francesca D'adamo

11 papers receiving 317 citations

Peers

Francesca D'adamo
Comparison fields: 5 of 25
  • Hematology 93
  • Genetics 59
  • Pathology and Forensic Medicine 34
  • Molecular Biology 72
  • Transplantation 2
Replace Amie K. Waller with:
Amie K. Waller United Kingdom
Toyomi Kamesaki Japan
Christiane Schumann Germany
Yongrong Lai China
E K Shin Japan
Rouben M. Jiji United States
Jaime Garcı́a-Chávez Mexico
S Miyawaki Japan
Massimo Di Gioia Italy
Selena M. Guerrero-Martin United States
Francesca D'adamo relative to Amie K. Waller United Kingdom Amie K. Waller's profile →
Citations per field
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Amie K. Waller · 1×
Citations per year

Countries citing papers authored by Francesca D'adamo

Since Specialization
Citations

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

Fields of papers citing papers by Francesca D'adamo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesca D'adamo. 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 Francesca D'adamo. The network helps show where Francesca D'adamo may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1999140
2 199246
3 200843
4 199237
5 199234
6 202014
7 200413
8 199311
9 19958
10 20065
11 20053

About Francesca D'adamo

Francesca D'adamo is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Infectious Diseases and Molecular Biology, having authored 11 papers that have together received 354 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (2 papers), Retinoids in leukemia and cellular processes (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Hematopoietic Stem Cell Transplantation (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Hematology (93 citations), Genetics (59 citations), Pathology and Forensic Medicine (34 citations), Molecular Biology (72 citations) and Transplantation (2 citations). Francesca D'adamo has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include MARIA GALIMBERTI, DONATELLA BARONCIANI, Giuseppe Tiziano Lucarelli, Daniela Diverio, Emanuele Angelucci, Giuseppe Avvisati, Pietro Muretto, P Polchi, Claudio Giardini and Javid Gaziev. Their work appears in journals such as Blood, European Journal Of Haematology, Annals of Hematology, Leukemia & lymphoma and Tumori Journal.

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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