F. Papola

1.0k total citations
57 papers, 601 citations indexed

About

F. Papola is a scholar working on Immunology, Hematology and Transplantation. According to data from OpenAlex, F. Papola has authored 57 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Immunology, 10 papers in Hematology and 9 papers in Transplantation. Recurrent topics in F. Papola's work include T-cell and B-cell Immunology (23 papers), Immune Cell Function and Interaction (15 papers) and Renal Transplantation Outcomes and Treatments (9 papers). F. Papola is often cited by papers focused on T-cell and B-cell Immunology (23 papers), Immune Cell Function and Interaction (15 papers) and Renal Transplantation Outcomes and Treatments (9 papers). F. Papola collaborates with scholars based in Italy, United States and Germany. F. Papola's co-authors include Anna Aureli, Stella Santarone, Paolo Di Bartolomeo, Gabriele Papalinetti, Marta Di Nicola, P Bavaro, Domenico Adorno, A. Canossi, Stefano Angelini and D. Adorno and has published in prestigious journals such as Blood, Diabetologia and International Journal of Cancer.

In The Last Decade

F. Papola

54 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Papola Italy 13 211 202 88 87 82 57 601
Kazuhiro Mochizuki Japan 15 198 0.9× 286 1.4× 57 0.6× 153 1.8× 41 0.5× 47 640
Mario H. J. Vogt Netherlands 15 227 1.1× 497 2.5× 104 1.2× 86 1.0× 37 0.5× 18 964
Amal Ephrem France 8 151 0.7× 381 1.9× 41 0.5× 47 0.5× 39 0.5× 9 656
G Stark United Kingdom 8 80 0.4× 113 0.6× 60 0.7× 196 2.3× 48 0.6× 12 471
Isabel Benet Spain 18 193 0.9× 236 1.2× 84 1.0× 276 3.2× 172 2.1× 42 940
Yoji Ogasawara Japan 12 255 1.2× 152 0.8× 214 2.4× 116 1.3× 60 0.7× 47 817
J.J.M. Drabbels Netherlands 14 109 0.5× 363 1.8× 72 0.8× 35 0.4× 44 0.5× 33 596
Rik A. Brooimans Netherlands 13 163 0.8× 142 0.7× 38 0.4× 78 0.9× 97 1.2× 22 540
Suhag Parikh United States 17 527 2.5× 238 1.2× 111 1.3× 120 1.4× 327 4.0× 74 1.1k
Hans Hägglund Sweden 14 119 0.6× 419 2.1× 88 1.0× 102 1.2× 106 1.3× 29 716

Countries citing papers authored by F. Papola

Since Specialization
Citations

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

Fields of papers citing papers by F. Papola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Papola

This figure shows the co-authorship network connecting the top 25 collaborators of F. Papola. A scholar is included among the top collaborators of F. Papola 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 F. Papola. F. Papola 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
1.
Crocchiolo, Roberto, Michela Falco, Giuseppina Marseglia, et al.. (2025). Selective HLA Haplotype Loss in NPM1‐Positive Acute Myeloid Leukaemia: A Model of Immunological Escape. HLA. 105(2). e70058–e70058. 1 indexed citations
2.
Canossi, A., Anna Aureli, Tiziana Del Beato, et al.. (2023). Impact of HLA Class I Antigen, Killer Inhibitory Receptor, andFCGR3A Genotypes on Breast Cancer Susceptibility and TumorStage. Current Molecular Medicine. 24(7). 920–930. 2 indexed citations
3.
Canossi, A., Samuele Iesari, Quirino Lai, et al.. (2022). Longitudinal monitoring of mRNA levels of regulatory T cell biomarkers by using non-invasive strategies to predict outcome in renal transplantation. BMC Nephrology. 23(1). 51–51. 1 indexed citations
4.
Santarone, Stella, et al.. (2022). Survival and late effects of hematopoietic cell transplantation in patients with thalassemia major. Bone Marrow Transplantation. 57(11). 1689–1697. 12 indexed citations
5.
Papola, F., Chiara Angeletti, Alessandro Grimaldi, et al.. (2021). Anti-AT1R autoantibodies and prediction of the severity of Covid-19. Human Immunology. 83(2). 130–133. 13 indexed citations
6.
Santarone, Stella, Alessia Pepe, Antonella Meloni, et al.. (2017). Secondary solid cancer following hematopoietic cell transplantation in patients with thalassemia major. Bone Marrow Transplantation. 53(1). 39–43. 11 indexed citations
7.
Giusti, Ilaria, et al.. (2016). The human ovarian cancer cell line CABA I: A peculiar genetic evolution. International Journal of Molecular Medicine. 37(4). 879–888. 2 indexed citations
8.
Ciccocioppo, Rachele, Alberto Finamore, Elena Mengheri, et al.. (2010). Isolation and Characterization of Circulating Tissue Transglutaminase-Specific T Cells in Coeliac Disease. International Journal of Immunopathology and Pharmacology. 23(1). 179–191. 14 indexed citations
9.
Cervelli, C., et al.. (2009). Evaluation of Serum sCD30 in Renal Transplantation Patients With and Without Acute Rejection. Transplantation Proceedings. 41(4). 1159–1161. 8 indexed citations
10.
Bartolomeo, Paolo Di, Stella Santarone, P Olioso, et al.. (2008). Long‐term results of survival in patients with thalassemia major treated with bone marrow transplantation. American Journal of Hematology. 83(7). 528–530. 46 indexed citations
11.
Aureli, Anna, Tiziana Del Beato, F. Papola, D. Adorno, & D. Piancatelli. (2008). A new HLA‐A allele identified in a leukemic patient attending hematopoietic cell transplantation: A*2318. Tissue Antigens. 71(6). 568–569. 3 indexed citations
12.
Cervelli, C., et al.. (2007). Interferon-α Therapy and Anti–Human Leukocyte Antigen Antibodies in Hepatitis C Virus–Positive Patient: Case Report. Transplantation Proceedings. 39(6). 2040–2041. 2 indexed citations
13.
Cervelli, C., et al.. (2007). Genetic Predisposition to Rheumatoid Arthritis in a Tuscan (Italy) Ancient Human Remain. International Journal of Immunopathology and Pharmacology. 20(1). 103–109. 6 indexed citations
14.
Piancatelli, D., Tiziana Del Beato, Anna Aureli, F. Papola, & D. Adorno. (2006). A new HLA‐CW*14 allele, Cw*140204, identified by allele‐specific DNA amplification and sequencing†. Tissue Antigens. 68(1). 93–95.
15.
Piancatelli, D., Tiziana Del Beato, F. Papola, et al.. (2005). Identification of a novel HLA‐A*02 allele, A*027401*. Tissue Antigens. 66(2). 138–140. 3 indexed citations
16.
Luca, Francesca, Nicholas P. Anagnou, G. Ciavarella, et al.. (2003). Clinal patterns of human Y chromosomal diversity in continental Italy and Greece are dominated by drift and founder effects. Molecular Phylogenetics and Evolution. 28(3). 387–395. 51 indexed citations
17.
18.
Adorno, D., A. Canossi, F. Papola, et al.. (1997). Comparison between HLA class I PCR-ARMS and serologic typing in cadaveric kidney transplantation. Transplantation Proceedings. 29(1-2). 1423–1425. 6 indexed citations
19.
Contasta, Ida, Patrizia Pellegrini, Anna Maria Berghella, et al.. (1997). Immunological Implications of Alterations in the c-Ki-ras and p53 Genes in the Stepwise Progression of Colorectal Cancer: Indications for the Improvement of Prognosis, Biotherapy Treatment and Tumor Biology Understanding. Cancer Biotherapy and Radiopharmaceuticals. 12(6). 385–393. 5 indexed citations
20.
Prencipe, Massimiliano, Corrado P. Marini, D. Adorno, et al.. (1986). T-Lymphocyte subsets modifications in multiple sclerosis: Correlation with clinical disease activity. Neurological Sciences. 7(6). 583–587. 2 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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