P Dall'Aglio

1.2k citations
38 papers · 1.0k · h-index 15

Impact in

Papers in

    • Chronic Myeloid Leukemia Treatments 5
    • Multiple Myeloma Research and Treatments 4
    • Renal Diseases and Glomerulopathies 5

P Dall'Aglio

35 papers receiving 974 citations

Peers

P Dall'Aglio
Comparison fields: 5 of 94
  • Oncology 525
  • Inorganic Chemistry 223
  • Immunology and Allergy 82
  • Organic Chemistry 372
  • Hematology 92
Replace Jana A. Lewis with:
Jana A. Lewis United States
Blaine M. Sutton United Kingdom
Jerauld S. Skotnicki United States
Hiroshi Kosugi Japan
Keiko Kuroda Japan
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Pierre Deprez Belgium
Hiroyuki Usuda Japan
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Citations per field
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Citations per year

Countries citing papers authored by P Dall'Aglio

Since Specialization
Citations

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

Fields of papers citing papers by P Dall'Aglio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P Dall'Aglio. 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 P Dall'Aglio. The network helps show where P Dall'Aglio may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004190
2 2000139
3 2003119
4 200379
5 198868
6 199557
7 199750
8 201046
9 197633
10 200629
11
Selective expression and constitutive phosphorylation of SHC proteins [corrected] in the CD34+ fraction of chronic myelogenous leukemias.
200024
12 200118
13 198517
14 201016
15 200115
16 200513
17
BCL2 oncogene protein expression in human hematopoietic precursors during fetal life.
199610
18 20009
19 20029
20 19849

About P Dall'Aglio

P Dall'Aglio is a scholar working on Hematology, Nephrology, Rheumatology, Molecular Biology and Oncology, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Allergic Rhinitis and Sensitization (5 papers), Renal Diseases and Glomerulopathies (5 papers), Chronic Myeloid Leukemia Treatments (5 papers), Systemic Lupus Erythematosus Research (5 papers), Metal complexes synthesis and properties (5 papers), Multiple Myeloma Research and Treatments (4 papers), Crystal structures of chemical compounds (4 papers) and Food Allergy and Anaphylaxis Research (3 papers). The work is most often cited by research in Oncology (525 citations), Inorganic Chemistry (223 citations), Immunology and Allergy (82 citations), Organic Chemistry (372 citations) and Hematology (92 citations). P Dall'Aglio has collaborated with scholars based in Italy, Spain and Canada. Frequent co-authors include Silvana Pinelli, Pieralberto Tarasconi, Giorgio Pelosi, Roberto Albertini, Paolo Lunghi, Franco Bisceglie, Antonio Bonati, M. Baldini, M. Belicchi-Ferrari and Marisa Belicchi Ferrari. Their work appears in journals such as Journal of Inorganic Biochemistry, Clinica Chimica Acta, The Hematology Journal, ˜The œNephron journals/Nephron journals and European Food Research and Technology.

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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