Tony DeBlasio

1.7k total citations
15 papers, 1.0k citations indexed

About

Tony DeBlasio is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Tony DeBlasio has authored 15 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Hematology and 4 papers in Immunology. Recurrent topics in Tony DeBlasio's work include Acute Myeloid Leukemia Research (6 papers), T-cell and B-cell Immunology (4 papers) and Epigenetics and DNA Methylation (3 papers). Tony DeBlasio is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), T-cell and B-cell Immunology (4 papers) and Epigenetics and DNA Methylation (3 papers). Tony DeBlasio collaborates with scholars based in United States, Canada and Germany. Tony DeBlasio's co-authors include John Mendelsohn, Stephen D. Nimer, Zhen Fan, Joseph G. Jurcic, David A. Scheinberg, Lu Yang, Peng Ding, Howard I. Scher, Andrew Koff and Mark A. Rubin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Oncogene.

In The Last Decade

Tony DeBlasio

15 papers receiving 1.0k citations

Peers

Tony DeBlasio
Comparison fields: 5 of 69
  • Molecular Biology 575
  • Oncology 421
  • Hematology 267
  • Pulmonary and Respiratory Medicine 184
  • Radiology, Nuclear Medicine and Imaging 153
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Citations per field, relative to Tony DeBlasio
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Countries citing papers authored by Tony DeBlasio

Since Specialization
Citations

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

Fields of papers citing papers by Tony DeBlasio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tony DeBlasio

This figure shows the co-authorship network connecting the top 25 collaborators of Tony DeBlasio. A scholar is included among the top collaborators of Tony DeBlasio 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 Tony DeBlasio. Tony DeBlasio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1
PRMT4 blocks myeloid differentiation by assembling a methyl-RUNX1-dependent repressor complex
1
2 73
3 18
4 99
5 102
6 28
7 85
8
Molecular remission induction with retinoic acid and anti-CD33 monoclonal antibody HuM195 in acute promyelocytic leukemia.
128
9 40
10
Involvement of p27KIP1 in G1 arrest mediated by an anti-epidermal growth factor receptor monoclonal antibody.
186
11
Anti-epidermal growth factor receptor monoclonal antibody 225 up-regulates p27KIP1 and induces G1 arrest in prostatic cancer cell line DU145.
235
12 33
13
Production of auto-anti-idiotype antibody during the normal immune response. XIV. Evidence for the antigen-independent operation of the idiotype network.
7
14 2
15 2

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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