Assunta Lombardi

6.8k citations
143 papers · 5.7k · h-index 45

Impact in

Papers in

Assunta Lombardi

134 papers receiving 5.5k citations

Peers

Assunta Lombardi
Comparison fields: 5 of 134
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Physiology 2.0k
  • Orthopedics and Sports Medicine 628
  • Endocrine and Autonomic Systems 308
  • Clinical Biochemistry 236
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Ji Li United States
Richard M. Mortensen United States
David R. Powell United States
Harald Staiger Germany
Christopher P. Jenkinson United States
Aleksey V. Matveyenko United States
Ji Li China
Pieter de Lange Italy
Liam J. Murphy Canada
D. Margriet Ouwens Germany
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Citations per year

Countries citing papers authored by Assunta Lombardi

Since Specialization
Citations

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

Fields of papers citing papers by Assunta Lombardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Assunta Lombardi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Assunta Lombardi Line = papers co-authored together Assunta Lombardi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015217
2 2008205
3 2010179
4 1996178
5 2009171
6 1996168
7 1999161
8 2003128
9 1995123
10 1997119
11 2005119
12 2014116
13 2007113
14 1999108
15 2001108
16 2009102
17 200399
18 201199
19 201199
20 199788

About Assunta Lombardi

Assunta Lombardi is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Molecular Biology, Cell Biology and Orthopedics and Sports Medicine, having authored 143 papers that have together received 5.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (62 papers), Mitochondrial Function and Pathology (35 papers), Thyroid Disorders and Treatments (27 papers), Muscle metabolism and nutrition (17 papers), Bone health and treatments (15 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Growth Hormone and Insulin-like Growth Factors (11 papers) and Metabolism, Diabetes, and Cancer (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Physiology (2.0k citations), Orthopedics and Sports Medicine (628 citations), Endocrine and Autonomic Systems (308 citations) and Clinical Biochemistry (236 citations). Assunta Lombardi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Fernando Goglia, Antonia Lanni, María Moreno, Pieter de Lange, Elena Silvestri, Rosa Anna Busiello, Federica Cioffi, Rosalba Senese, Lillà Lionetti and Maria Pina Mollica. Their work appears in journals such as The FASEB Journal, Endocrinology, FEBS Letters, Frontiers in Physiology and Bone.

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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