Angelo Palmas

1.3k citations
18 papers · 487 · h-index 8

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 5
    • Hematopoietic Stem Cell Transplantation 4
    • Acute Myeloid Leukemia Research 2
    • Protein Degradation and Inhibitors 2

Angelo Palmas

17 papers receiving 479 citations

Peers

Angelo Palmas
Comparison fields: 5 of 50
  • Hematology 133
  • Pathology and Forensic Medicine 110
  • Oncology 160
  • Immunology 90
  • Genetics 33
Replace Sumie Tabata with:
Sumie Tabata Japan
Barbara H. Burke United States
Xiaohui Zhao United States
Masaaki Kumagai Japan
Vivek A. Bhadri Australia
Elizabeth M. Sagatys United States
JM Vose United States
M. Hoffknecht Germany
Mitsutoshi Kurosawa Japan
Yujun Dong China
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Citations per field
00.5×1.5×
Sumie Tabata · 1×
Citations per year

Countries citing papers authored by Angelo Palmas

Since Specialization
Citations

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

Fields of papers citing papers by Angelo Palmas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1998147
2 2006146
3 200471
4 200535
5 200822
6 200017
7 201415
8 201714
9 20004
10 20154
11 20223
12 20183
13 20212
14 20081
15 20241
16 20221
17 20171
18 20240

About Angelo Palmas

Angelo Palmas is a scholar working on Hematology, Molecular Biology, Infectious Diseases, Oncology and Public Health, Environmental and Occupational Health, having authored 18 papers that have together received 487 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Acute Lymphoblastic Leukemia research (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Acute Myeloid Leukemia Research (2 papers), Diabetes and associated disorders (2 papers), Protein Degradation and Inhibitors (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Hematology (133 citations), Pathology and Forensic Medicine (110 citations), Oncology (160 citations), Immunology (90 citations) and Genetics (33 citations). Angelo Palmas has collaborated with scholars based in Italy, United States and Hungary. Frequent co-authors include Giovanna Piras, Maria Monne, Ayalew Tefferi, Martha Q. Lacy, James G. Scott, Mark R. Litzow, Giancarlo Latte, Jeffrey L. Myers, Stephen J. Swensen and Michael G. Chen. Their work appears in journals such as British Journal of Haematology, Blood, Journal of Clinical Oncology, Frontiers in Microbiology and Clinical Epigenetics.

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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