David Masiello

838 total citations
11 papers, 643 citations indexed

About

David Masiello is a scholar working on Genetics, Hematology and Molecular Biology. According to data from OpenAlex, David Masiello has authored 11 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Hematology and 3 papers in Molecular Biology. Recurrent topics in David Masiello's work include Chronic Lymphocytic Leukemia Research (3 papers), Estrogen and related hormone effects (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). David Masiello is often cited by papers focused on Chronic Lymphocytic Leukemia Research (3 papers), Estrogen and related hormone effects (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). David Masiello collaborates with scholars based in United States and Netherlands. David Masiello's co-authors include Steven P. Balk, Michael L. Lu, Glenn J. Bubley, Allen S. Yang, Suzanne R. Lee, Andrew H. Ko, Kenneth D. Swanson, P A Chatis, Bruce J. Dezube and Katherine Crosby and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

David Masiello

11 papers receiving 626 citations

Peers

David Masiello
Comparison fields: 5 of 77
  • Molecular Biology 291
  • Pulmonary and Respiratory Medicine 218
  • Oncology 199
  • Genetics 126
  • Hematology 95
Replace Valentina Rossi with:
Valentina Rossi Italy
Jaymes Holland United States
Rebecca Kunder United States
Laura A. Pike United States
Florence Namour Belgium
Maria Thadani‐Mulero United States
S Ritland United States
Amy Weise United States
Giorgia Federico Italy
Maria Stella Pennisi Italy
Valentina Rossi Italy View profile →
Citations per field, relative to David Masiello
David Masiello · 1×
Citations per year, relative to David Masiello
David Masiello · 1×

Countries citing papers authored by David Masiello

Since Specialization
Citations

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

Fields of papers citing papers by David Masiello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Masiello

This figure shows the co-authorship network connecting the top 25 collaborators of David Masiello. A scholar is included among the top collaborators of David Masiello based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Masiello. David Masiello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 43
2 3
3 2
4 49
5 18
6 28
7 20
8 115
9 58
10 193
11 114

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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2026