Pacifico Meo

628 total citations
13 papers, 573 citations indexed

About

Pacifico Meo is a scholar working on Molecular Biology, Hematology and Physiology. According to data from OpenAlex, Pacifico Meo has authored 13 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Hematology and 3 papers in Physiology. Recurrent topics in Pacifico Meo's work include Virus-based gene therapy research (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). Pacifico Meo is often cited by papers focused on Virus-based gene therapy research (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). Pacifico Meo collaborates with scholars based in Italy, United States and Slovakia. Pacifico Meo's co-authors include G Rovera, L Cioé, Nancy Olashaw, Howard R. Hubbell, Peter J. Curtis, Alistair R. McNab, Beverly J. Lange, A Vorbrodt, RA Cooper and Alessandro Levis and has published in prestigious journals such as Nature, The Journal of Cell Biology and Blood.

In The Last Decade

Pacifico Meo

13 papers receiving 515 citations

Peers

Pacifico Meo
Giovanni Luca Pagliardi Italy
Keisuke Sakurada Japan
Peter F.J. Verhallen United States
AJ Lusis United States
Walter R. Paukovits Austria
R G Wickremasinghe United Kingdom
Theodore G. Gabig United States
TJ Ley United States
N. J. Philpott United Kingdom
MJ Stone United States
Giovanni Luca Pagliardi Italy
Pacifico Meo
Citations per year, relative to Pacifico Meo Pacifico Meo (= 1×) peers Giovanni Luca Pagliardi

Countries citing papers authored by Pacifico Meo

Since Specialization
Citations

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

Fields of papers citing papers by Pacifico Meo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pacifico Meo

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

All Works

13 of 13 papers shown
1.
Lin, Chenyan, et al.. (1994). Anti-idiotypic antibodies to delineate epitope specificity of anti-amiloride antibodies. American Journal of Physiology-Cell Physiology. 267(3). C821–C826. 6 indexed citations
2.
Cioé, L, et al.. (1987). Cloning and nucleotide sequence of a mouse erythrocyte beta-spectrin cDNA. Blood. 70(4). 915–920. 31 indexed citations
3.
Curtis, Peter J., Antônio Palumbo, Jeffrey E. Ming, et al.. (1985). Sequence comparison of human and murine erythrocyte alpha-spectrin cDNA. Gene. 36(3). 357–362. 42 indexed citations
4.
Pessano, Silvana, Antonio Palumbo, Dario Ferrero, et al.. (1984). Subpopulation heterogeneity in human acute myeloid leukemia determined by monoclonal antibodies. Blood. 64(1). 275–281. 59 indexed citations
5.
Cioé, L, Alistair R. McNab, Howard R. Hubbell, et al.. (1981). Differential expression of the globin genes in human leukemia K562(S) cells induced to differentiate by hemin or butyric acid.. PubMed. 41(1). 237–43. 151 indexed citations
6.
Pegoraro, Luigi, Janet L. Abrahm, RA Cooper, et al.. (1980). Differentiation of human leukemias in response to 12-0- tetradecanoylphorbol-13-acetate in vitro. Blood. 55(5). 859–862. 109 indexed citations
7.
Rovera, G, Nancy Olashaw, & Pacifico Meo. (1980). Terminal differentiation in human promyelocytic leukaemic cells in the absence of DNA synthesis. Nature. 284(5751). 69–70. 104 indexed citations
8.
Rossi, Giovanni Battista, L Cioé, Simonetta Pulciani, et al.. (1979). Effects of a chromatin low molecular weight peptidic fraction on differentiation markers and virus production in friend leukemia cells. Molecular Biology Reports. 5(4). 241–249. 6 indexed citations
9.
10.
Pérez-Bercoff, Raul, et al.. (1979). Infectivity of mengovirus replicative form. IV. Intracellular conversion into replicative intermediate. Virology. 96(1). 307–310. 3 indexed citations
11.
Vorbrodt, A, Pacifico Meo, & G Rovera. (1979). Regulation of acid phosphatase activity in human promyelocytic leukemic cells induced to differentiate in culture.. The Journal of Cell Biology. 83(2). 300–307. 51 indexed citations
12.
Blotta, I., Pacifico Meo, Michela Giuliano, et al.. (1978). Behavior of A Cell Line Derived from A Mouse Submaxillary Adenocarcinoma during the Initial 480 Days in Vitro. Tumori Journal. 64(1). 1–14. 2 indexed citations
13.
Pérez-Bercoff, Raul, et al.. (1974). Infectivity of Mengovirus Replicative Form. Relationship to Cellular Transcription. Journal of General Virology. 25(1). 53–62. 5 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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