Carmelo Puccio

1.1k total citations
36 papers, 803 citations indexed

About

Carmelo Puccio is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Hematology. According to data from OpenAlex, Carmelo Puccio has authored 36 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 12 papers in Pulmonary and Respiratory Medicine and 12 papers in Hematology. Recurrent topics in Carmelo Puccio's work include Acute Myeloid Leukemia Research (7 papers), Chronic Myeloid Leukemia Treatments (6 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Carmelo Puccio is often cited by papers focused on Acute Myeloid Leukemia Research (7 papers), Chronic Myeloid Leukemia Treatments (6 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Carmelo Puccio collaborates with scholars based in United States and Italy. Carmelo Puccio's co-authors include Abraham Mittelman, Eric J. Feldman, Hoo G. Chun, Tauseef Ahmed, Z Arlin, Perry Cook, Jibran Ahmed, Seah H. Lim, Michael Fanucchi and Paul Baskind and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Cancer.

In The Last Decade

Carmelo Puccio

35 papers receiving 775 citations

Peers

Carmelo Puccio
Comparison fields: 5 of 81
  • Oncology 337
  • Molecular Biology 302
  • Immunology 180
  • Pulmonary and Respiratory Medicine 165
  • Hematology 151
Replace DG Poplack with:
DG Poplack United States
SC Peiper United States
Yoshiko Matsumoto Japan
Giuliana Anna Porro Italy
P Resnitzky Israel
Friedrich Schuening United States
Axel Schulenburg Austria
A Faille France
Jan‐Henrik Mikesch Germany
Lippman Sm United States
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Citations per field, relative to Carmelo Puccio
Carmelo Puccio · 1×
Citations per year, relative to Carmelo Puccio
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Countries citing papers authored by Carmelo Puccio

Since Specialization
Citations

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

Fields of papers citing papers by Carmelo Puccio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmelo Puccio

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 14
2 27
3 1
4 5
5 3
6 5
7 22
8 4
9 30
10
Humoral antimelanoma immunity: induction by mouse antiidiotypic mAb, MK2-23 and association with survival of patients with advanced melanoma.
3
11 1
12 73
13 12
14 22
15 100
16 6
17 4
18 1
19 18
20 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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