Lia Palomba

51 total papers · 821 total citations
14 papers, 287 citations indexed

About

Lia Palomba is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics. According to data from OpenAlex, Lia Palomba has authored 14 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 8 papers in Oncology and 7 papers in Genetics. Recurrent topics in Lia Palomba's work include Lymphoma Diagnosis and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (7 papers) and CAR-T cell therapy research (4 papers). Lia Palomba is often cited by papers focused on Lymphoma Diagnosis and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (7 papers) and CAR-T cell therapy research (4 papers). Lia Palomba collaborates with scholars based in United States, Israel and Italy. Lia Palomba's co-authors include Ariela Noy, Paul A. Hamlin, David J. Straus, Craig H. Moskowitz, Carol S. Portlock, Heiko Schöder, Andrew D. Zelenetz, Steven M. Horwitz, Matthew J. Matasar and Alison J. Moskowitz and has published in prestigious journals such as Blood, Annals of Oncology and British Journal of Haematology.

In The Last Decade

Lia Palomba

12 papers receiving 285 citations

Author Peers

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

Author Last Decade Papers Cites
Lia Palomba 231 162 113 57 56 14 287
Annalisa Gabriele 256 1.1× 113 0.7× 87 0.8× 37 0.6× 58 1.0× 12 315
Julie Lisano 192 0.8× 170 1.0× 89 0.8× 21 0.4× 28 0.5× 16 249
Lindsey Stevens 285 1.2× 210 1.3× 63 0.6× 32 0.6× 42 0.8× 14 327
Antonella Anastasia 216 0.9× 162 1.0× 92 0.8× 17 0.3× 44 0.8× 21 283
U. Rehwald 259 1.1× 211 1.3× 111 1.0× 22 0.4× 44 0.8× 11 304
Youngil Koh 208 0.9× 154 1.0× 38 0.3× 41 0.7× 27 0.5× 18 273
Gaetana Capobianco 198 0.9× 134 0.8× 68 0.6× 24 0.4× 27 0.5× 21 281
Rita Mazza 216 0.9× 178 1.1× 109 1.0× 16 0.3× 49 0.9× 22 296
Anna Ruskova 184 0.8× 97 0.6× 86 0.8× 17 0.3× 33 0.6× 15 281
Diana Libster 190 0.8× 118 0.7× 60 0.5× 62 1.1× 76 1.4× 16 303

Countries citing papers authored by Lia Palomba

Since Specialization
Citations

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

Fields of papers citing papers by Lia Palomba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lia Palomba

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