Carmelo Laganà

31 total papers · 503 total citations
21 papers, 266 citations indexed

About

Carmelo Laganà is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Carmelo Laganà has authored 21 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Genetics and 8 papers in Hematology. Recurrent topics in Carmelo Laganà's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Acute Myeloid Leukemia Research (4 papers) and Genomic variations and chromosomal abnormalities (4 papers). Carmelo Laganà is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Acute Myeloid Leukemia Research (4 papers) and Genomic variations and chromosomal abnormalities (4 papers). Carmelo Laganà collaborates with scholars based in Italy and United States. Carmelo Laganà's co-authors include Manuela Priolo, Corrado Mammì, Andrea Riccio, Angela Sparago, Flavia Cerrato, Francesco Nobile, Maria Antonietta Aloe Spiriti, Roberto Ciccone, Massimo Breccia and Orsetta Zuffardi and has published in prestigious journals such as Blood, Gene and Human Genetics.

In The Last Decade

Carmelo Laganà

20 papers receiving 259 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Carmelo Laganà	148	137	66	62	50	21	266
Özge Özalp Yüreğir	133 0.9×	135 1.0×	45 0.7×	58 0.9×	35 0.7×	20	286
J. Stamberg	159 1.1×	151 1.1×	27 0.4×	65 1.0×	25 0.5×	17	329
Lourdes Badı́a	110 0.7×	111 0.8×	156 2.4×	53 0.9×	73 1.5×	28	325
Iskra Petković	164 1.1×	179 1.3×	53 0.8×	24 0.4×	28 0.6×	31	305
C Herens	67 0.5×	63 0.5×	86 1.3×	37 0.6×	48 1.0×	19	219
Donatella Fantasia	108 0.7×	158 1.2×	20 0.3×	72 1.2×	20 0.4×	19	311
Hasmik Mkrtchyan	194 1.3×	146 1.1×	33 0.5×	70 1.1×	28 0.6×	29	317
Yi He	62 0.4×	162 1.2×	42 0.6×	72 1.2×	60 1.2×	26	323
Aline Receveur	109 0.7×	81 0.6×	17 0.3×	50 0.8×	20 0.4×	22	199
Caroline Bénech	194 1.3×	131 1.0×	72 1.1×	41 0.7×	30 0.6×	14	276

Countries citing papers authored by Carmelo Laganà

Since Specialization

Citations

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

Fields of papers citing papers by Carmelo Laganà

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmelo Laganà

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

All Works

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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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