S. Lombardini

30 total papers · 839 total citations
11 papers, 542 citations indexed

About

S. Lombardini is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, S. Lombardini has authored 11 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in S. Lombardini's work include Liver Disease Diagnosis and Treatment (6 papers), Diet, Metabolism, and Disease (3 papers) and Lipid metabolism and disorders (3 papers). S. Lombardini is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Diet, Metabolism, and Disease (3 papers) and Lipid metabolism and disorders (3 papers). S. Lombardini collaborates with scholars based in Italy and United States. S. Lombardini's co-authors include Amedeo Lonardo, Paola Loria, Lucia Carulli, Nicola Carulli, Matteo Ricchi, Federica Scaglioni, D. Ganazzi, Luigi Elio Adinolfi, Giuseppe Ruggiero and Marco Bertolotti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular and Cellular Biology and Journal of Hepatology.

In The Last Decade

S. Lombardini

10 papers receiving 528 citations

Author Peers

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

Author Last Decade Papers Cites
S. Lombardini 367 208 117 95 90 11 542
Deborah L. Rasmussen 396 1.1× 205 1.0× 96 0.8× 75 0.8× 95 1.1× 7 517
A Beilfuss 325 0.9× 92 0.4× 105 0.9× 108 1.1× 97 1.1× 11 491
Marianna Tarantino 380 1.0× 130 0.6× 176 1.5× 100 1.1× 51 0.6× 9 494
Johannie du Plessis 412 1.1× 119 0.6× 185 1.6× 102 1.1× 96 1.1× 8 541
Ayako Muto 489 1.3× 288 1.4× 113 1.0× 93 1.0× 54 0.6× 14 607
Takuya Wakamatsu 321 0.9× 227 1.1× 81 0.7× 78 0.8× 83 0.9× 9 518
Laura Alba 304 0.8× 273 1.3× 88 0.8× 179 1.9× 108 1.2× 17 522
Anne-Laure Sberna 257 0.7× 192 0.9× 100 0.9× 116 1.2× 107 1.2× 8 484
Stephanie A. Osganian 427 1.2× 182 0.9× 209 1.8× 64 0.7× 70 0.8× 13 521
Takenao Hasegawa 517 1.4× 277 1.3× 268 2.3× 118 1.2× 55 0.6× 8 607

Countries citing papers authored by S. Lombardini

Since Specialization
Citations

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

Fields of papers citing papers by S. Lombardini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Lombardini

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