Paola Lapi

1.6k citations
31 papers · 1.2k · h-index 16

Impact in

Papers in

Paola Lapi

29 papers receiving 1.2k citations

Peers

Paola Lapi
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 886
  • Endocrine and Autonomic Systems 85
  • Genetics 263
  • Molecular Biology 459
  • Surgery 242
Replace C Asteria with:
C Asteria Italy
Hugo Nièpomniszcze Argentina
Valentina Cirello Italy
Deborah Mannavola Italy
Alfonso Massimiliano Ferrara Italy
Maria Rojeski United States
Antony Lafferty Australia
Xiao Hui Liao United States
Katie A. Woods United Kingdom
Satoshi Narumi Japan
Paola Lapi relative to C Asteria Italy C Asteria's profile →
Citations per field
00.5×1.5×2.5×
C Asteria · 1×
Citations per year

Countries citing papers authored by Paola Lapi

Since Specialization
Citations

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

Fields of papers citing papers by Paola Lapi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Paola Lapi, 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 Paola Lapi Line = papers co-authored together Paola Lapi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998366
2 2003108
3 1993103
4 199985
5 199478
6 199361
7 199759
8 200550
9 199948
10 201347
11 200641
12 200732
13 199626
14 200921
15 200420
16 199119
17 199814
18
Foot bone mass and analysis of calcium metabolism in diabetic patients affected by severe neuropathy.
20089
19 19958
20 20207

About Paola Lapi

Paola Lapi is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (18 papers), Thyroid Cancer Diagnosis and Treatment (11 papers), Thyroid and Parathyroid Surgery (3 papers), Congenital heart defects research (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Radiation Dose and Imaging (2 papers), Head and Neck Anomalies (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (886 citations), Endocrine and Autonomic Systems (85 citations), Genetics (263 citations), Molecular Biology (459 citations) and Surgery (242 citations). Paola Lapi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Luca Chiovato, Aldo Pinchera, Gianfranco Fenzi, Paolo Emidio Macchia, Roberto Di Lauro, Daniele Barbaro, Cristina Pasquini, Ferruccio Santini, C. Mammoli and Mariangiola Baserga. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrine Practice, Thyroid, Nature Genetics and Endocrinology.

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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