PP Pandolfi

1.9k total citations
19 papers, 1.6k citations indexed

About

PP Pandolfi is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, PP Pandolfi has authored 19 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Hematology and 3 papers in Genetics. Recurrent topics in PP Pandolfi's work include Retinoids in leukemia and cellular processes (17 papers), Acute Myeloid Leukemia Research (9 papers) and RNA Interference and Gene Delivery (7 papers). PP Pandolfi is often cited by papers focused on Retinoids in leukemia and cellular processes (17 papers), Acute Myeloid Leukemia Research (9 papers) and RNA Interference and Gene Delivery (7 papers). PP Pandolfi collaborates with scholars based in Italy and United States. PP Pandolfi's co-authors include Andrea Biondi, Myriam Alcalay, Pier Giuseppe Pelicci, F Grignani, M Fagioli, Letizia Longo, Daniela Diverio, Emilio Donti, Vincenzo Rossi and Alessandro Rambaldi and has published in prestigious journals such as Journal of Neuroscience, Blood and The Journal of Pathology.

In The Last Decade

PP Pandolfi

19 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
PP Pandolfi Italy 12 1.3k 1.1k 249 224 220 19 1.6k
Z Chen China 9 957 0.7× 677 0.6× 99 0.4× 97 0.4× 110 0.5× 21 1.2k
Silvia De Matteis Italy 8 884 0.7× 593 0.6× 73 0.3× 73 0.3× 97 0.4× 10 1.2k
Seppo Pakkala Finland 15 451 0.3× 285 0.3× 53 0.2× 89 0.4× 78 0.4× 33 757
R Berger France 19 554 0.4× 484 0.5× 24 0.1× 92 0.4× 288 1.3× 39 1.1k
W Nijhof Netherlands 17 356 0.3× 456 0.4× 12 0.0× 229 1.0× 16 0.1× 50 975
Laura Barreyro United States 12 375 0.3× 512 0.5× 4 0.0× 301 1.3× 48 0.2× 19 855
Klaus Fortschegger Austria 13 569 0.4× 58 0.1× 9 0.0× 92 0.4× 54 0.2× 18 780
Daniela Bossi Italy 12 484 0.4× 172 0.2× 6 0.0× 48 0.2× 24 0.1× 18 658
Jinlan Pan China 13 234 0.2× 369 0.3× 3 0.0× 92 0.4× 115 0.5× 104 603
Anh T. Nguyen United States 10 1.1k 0.8× 174 0.2× 4 0.0× 152 0.7× 35 0.2× 11 1.3k

Countries citing papers authored by PP Pandolfi

Since Specialization
Citations

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

Fields of papers citing papers by PP Pandolfi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of PP Pandolfi

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

All Works

19 of 19 papers shown
1.
Montanaro, Lorenzo, Maurizio Brigotti, John G. Clohessy, et al.. (2006). Dyskerin expression influences the level of ribosomal RNA pseudo‐uridylation and telomerase RNA component in human breast cancer. The Journal of Pathology. 210(1). 10–18. 98 indexed citations
2.
Bernardi, Rosa, et al.. (2002). The promyelocytic leukemia protein, PML, localizes to the nucleolus after DNA damage, interacts with Mdm2 and promotes p53 stability.. UCL Discovery (University College London). 2 indexed citations
3.
Gandini, Domenica, Cristiano De Angeli, Gianluca Aguiari, et al.. (2002). Preferential expression of the transcription coactivator HTIF1α gene in acute myeloid leukemia and MDS-related AML. Leukemia. 16(5). 886–893. 13 indexed citations
4.
Salomoni, Paolo, et al.. (2000). Role of PML in p53-dependent apoptosis.. UCL Discovery (University College London). 1 indexed citations
6.
Avantaggiato, Virginia, PP Pandolfi, Martin Ruthardt, et al.. (1995). Developmental analysis of murine Promyelocyte Leukemia Zinc Finger (PLZF) gene expression: implications for the neuromeric model of the forebrain organization. Journal of Neuroscience. 15(7). 4927–4942. 46 indexed citations
7.
Grignani, F, M Fagioli, Myriam Alcalay, et al.. (1994). Acute promyelocytic leukemia: from genetics to treatment. Blood. 83(1). 10–25. 400 indexed citations
8.
Grignani, F, M Fagioli, Myriam Alcalay, et al.. (1994). Acute promyelocytic leukemia: from genetics to treatment. Blood. 83(1). 10–25. 338 indexed citations
9.
Gambacorti‐Passerini, Carlo, F Grignani, Flavio Arienti, et al.. (1993). Human CD4 lymphocytes specifically recognize a peptide representing the fusion region of the hybrid protein pml/RAR alpha present in acute promyelocytic leukemia cells. Blood. 81(5). 1369–1375. 116 indexed citations
10.
Gambacorti‐Passerini, Carlo, F Grignani, Flavio Arienti, et al.. (1993). Human CD4 lymphocytes specifically recognize a peptide representing the fusion region of the hybrid protein pml/RAR alpha present in acute promyelocytic leukemia cells. Blood. 81(5). 1369–1375. 5 indexed citations
11.
Diverio, Daniela, PP Pandolfi, Andrea Biondi, et al.. (1993). Absence of reverse transcription-polymerase chain reaction detectable residual disease in patients with acute promyelocytic leukemia in long- term remission. Blood. 82(12). 3556–3559. 75 indexed citations
12.
Diverio, Daniela, PP Pandolfi, Andrea Biondi, et al.. (1993). Absence of reverse transcription-polymerase chain reaction detectable residual disease in patients with acute promyelocytic leukemia in long- term remission. Blood. 82(12). 3556–3559. 6 indexed citations
13.
Biondi, Andrea, Alessandro Rambaldi, PP Pandolfi, et al.. (1992). Molecular monitoring of the myl/retinoic acid receptor-alpha fusion gene in acute promyelocytic leukemia by polymerase chain reaction. Blood. 80(2). 492–497. 135 indexed citations
14.
Biondi, Andrea, PP Pandolfi, Vincenzo Rossi, et al.. (1992). Molecular monitoring of the myl/retinoic acid receptor-alpha fusion gene in acute promyelocytic leukemia by polymerase chain reaction. Blood. 80(2). 492–497. 100 indexed citations
15.
Nervi, Clara, et al.. (1992). 111. Characterization of the acute promyelocytic leukemia (APL) specific t(15;17) PML-RARα chimeric product. Biomedicine & Pharmacotherapy. 46(5-7). 293–293. 1 indexed citations
16.
Biondi, Andrea, Myriam Alcalay, PP Pandolfi, et al.. (1991). RAR-alpha gene rearrangements as a genetic marker for diagnosis and monitoring in acute promyelocytic leukemia. Blood. 77(7). 1418–1422. 4 indexed citations
17.
Biondi, Andrea, Alessandro Rambaldi, Myriam Alcalay, et al.. (1991). RAR-alpha gene rearrangements as a genetic marker for diagnosis and monitoring in acute promyelocytic leukemia. Blood. 77(7). 1418–1422. 85 indexed citations
18.
Avvisati, Giuseppe, Daniela Diverio, Myriam Alcalay, et al.. (1991). Molecular evaluation of response to all-trans-retinoic acid therapy in patients with acute promyelocytic leukemia. Blood. 77(8). 1657–1659. 3 indexed citations
19.
Avvisati, Giuseppe, Daniela Diverio, Petti Mc, et al.. (1991). Molecular evaluation of response to all-trans-retinoic acid therapy in patients with acute promyelocytic leukemia. Blood. 77(8). 1657–1659. 68 indexed citations

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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