Corrado Caslini

43 total papers · 1.2k total citations
20 papers, 933 citations indexed

About

Corrado Caslini is a scholar working on Molecular Biology, Hematology and Physiology. According to data from OpenAlex, Corrado Caslini has authored 20 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Hematology and 5 papers in Physiology. Recurrent topics in Corrado Caslini's work include Acute Myeloid Leukemia Research (7 papers), Telomeres, Telomerase, and Senescence (5 papers) and Acute Lymphoblastic Leukemia research (4 papers). Corrado Caslini is often cited by papers focused on Acute Myeloid Leukemia Research (7 papers), Telomeres, Telomerase, and Senescence (5 papers) and Acute Lymphoblastic Leukemia research (4 papers). Corrado Caslini collaborates with scholars based in United States, Italy and Germany. Corrado Caslini's co-authors include Jay L. Hess, Robert K. Slany, Zhaohai Yang, Tan A. Ince, Thomas A. Milne, Amparo Serna, Dominique Broccoli, Andrea Biondi, James A. Connelly and Yuguang Ban and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

In The Last Decade

Corrado Caslini

20 papers receiving 917 citations

Author Peers

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

Author Last Decade Papers Cites
Corrado Caslini 744 228 139 136 104 20 933
Jia-Xi Mao 732 1.0× 92 0.4× 96 0.7× 103 0.8× 79 0.8× 16 932
Clémence Carron 663 0.9× 192 0.8× 185 1.3× 132 1.0× 40 0.4× 26 1.1k
Qing‐Shuo Zhang 658 0.9× 127 0.6× 109 0.8× 26 0.2× 91 0.9× 20 805
Margaret R. Hough 648 0.9× 180 0.8× 131 0.9× 66 0.5× 45 0.4× 26 936
Annette Orleth 619 0.8× 403 1.8× 196 1.4× 85 0.6× 24 0.2× 14 841
Archana Agarwal 680 0.9× 200 0.9× 154 1.1× 219 1.6× 27 0.3× 18 971
Djoke van Gosliga 570 0.8× 237 1.0× 155 1.1× 31 0.2× 101 1.0× 18 978
Caroline Tang 585 0.8× 132 0.6× 316 2.3× 92 0.7× 28 0.3× 24 912
Brigit R. Taylor 532 0.7× 275 1.2× 119 0.9× 59 0.4× 25 0.2× 13 894
Vadym Zaberezhnyy 699 0.9× 351 1.5× 213 1.5× 75 0.6× 47 0.5× 25 1.1k

Countries citing papers authored by Corrado Caslini

Since Specialization
Citations

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

Fields of papers citing papers by Corrado Caslini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Corrado Caslini

This figure shows the co-authorship network connecting the top 25 collaborators of Corrado Caslini. A scholar is included among the top collaborators of Corrado Caslini 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 Corrado Caslini. Corrado Caslini 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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