A. Di Palma

564 total citations
15 papers, 420 citations indexed

About

A. Di Palma is a scholar working on Genetics, Hematology and Physiology. According to data from OpenAlex, A. Di Palma has authored 15 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 8 papers in Hematology and 7 papers in Physiology. Recurrent topics in A. Di Palma's work include Hemoglobinopathies and Related Disorders (8 papers), Iron Metabolism and Disorders (5 papers) and Hematological disorders and diagnostics (4 papers). A. Di Palma is often cited by papers focused on Hemoglobinopathies and Related Disorders (8 papers), Iron Metabolism and Disorders (5 papers) and Hematological disorders and diagnostics (4 papers). A. Di Palma collaborates with scholars based in Italy, Switzerland and Greece. A. Di Palma's co-authors include C Vullo, Paolo Danise, Monica Sprocati, F. Di Gregorio, C Melevendi, G Pizzarelli, Riccardo Longhi, Maria Rita Gamberini, A Mangiagli and V. Carnelli and has published in prestigious journals such as Annals of the New York Academy of Sciences, Clinical Chemistry and Laboratory Medicine (CCLM) and Journal of Inherited Metabolic Disease.

In The Last Decade

A. Di Palma

12 papers receiving 396 citations

Peers

A. Di Palma
A. Di Palma
Citations per year, relative to A. Di Palma A. Di Palma (= 1×) peers Jean‐Louis Kerkhoffs

Countries citing papers authored by A. Di Palma

Since Specialization
Citations

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

Fields of papers citing papers by A. Di Palma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Di Palma. 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 A. Di Palma. The network helps show where A. Di Palma may publish in the future.

Co-authorship network of co-authors of A. Di Palma

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

All Works

15 of 15 papers shown
2.
D’Arena, Giovanni, et al.. (2021). SARS-COV2 Infection in Vaccinated Patients: Look for Clinical History and Test Humoral Immunity. Indian Journal of Hematology and Blood Transfusion. 38(1). 207–209.
3.
Danise, Paolo, et al.. (2013). Cell counting of body fluids: comparison between three automated haematology analysers and the manual microscope method. International Journal of Laboratory Hematology. 35(6). 608–613. 32 indexed citations
4.
Maconi, Mariacaterina, et al.. (2011). Possibility of myelodysplastic syndromes screening using a complete blood automated cell count. Leukemia Research. 35(12). 1623–1627. 9 indexed citations
5.
Danise, Paolo, et al.. (2011). Evaluation of nucleated red blood cells in the peripheral blood of hematological diseases. Clinical Chemistry and Laboratory Medicine (CCLM). 50(2). 357–60. 32 indexed citations
6.
Danise, Paolo, Giovanni Amendola, Enrìco Cillari, et al.. (2009). Nucleated red blood cells and soluble transferrin receptor in thalassemia syndromes: relationship with global and ineffective erythropoiesis. Clinical Chemistry and Laboratory Medicine (CCLM). 47(12). 1539–42. 13 indexed citations
7.
Amendola, Giovanni, et al.. (2007). Lipid profile inβ‐thalassemia intermedia patients: correlation with erythroid bone marrow activity. International Journal of Laboratory Hematology. 29(3). 172–176. 19 indexed citations
8.
Danise, Paolo, Mariacaterina Maconi, Giorgio Morelli, et al.. (2007). Reference limits and behaviour of serum transferrin receptor in children 6–10 years of age. International Journal of Laboratory Hematology. 30(4). 306–311. 6 indexed citations
9.
Amendola, Giovanni, et al.. (2007). Lipid profile in ?-thalassemia intermedia patients: correlation with erythroid bone marrow activity. Clinical & Laboratory Haematology. 0(0). 879246914–???.
10.
Burlina, Alberto, Antonella Peduto, A. Di Palma, et al.. (2006). An unusual clinical and biochemical presentation of ornithine transcarbamylase deficiency in a male patient. Journal of Inherited Metabolic Disease. 29(1). 179–181. 8 indexed citations
11.
Pignatti, Caterina Borgna, V. Carnelli, Vincenzo Caruso, et al.. (1998). Thromboembolic Events in Beta Thalassemia Major: An Italian Multicenter Study. Acta Haematologica. 99(2). 76–79. 158 indexed citations
12.
Sanctis, Vincenzo De, et al.. (1996). Growth and development in thalassaemia major patients with severe bone lesions due to desferrioxamine. European Journal of Pediatrics. 155(5). 368–372. 81 indexed citations
13.
Soriani, Stefano, et al.. (1992). Effectiveness of partial splenic embolization as treatment for hypersplenism in thalassaemia major: A 7‐year follow up. European Journal Of Haematology. 49(2). 49–52. 13 indexed citations
14.
Vullo, C, Vitaliana De Sanctis, M. Katz, et al.. (1990). Endocrine Abnormalities in Thalassemia. Annals of the New York Academy of Sciences. 612(1). 293–310. 45 indexed citations
15.
Vierucci, A, Maurizio de Martino, A. Di Palma, et al.. (1986). The multitransfused beta-thalassemic child: a model for the study of IgE response.. PubMed. 56(2). 158–61. 4 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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