L. Usellini

2.1k citations
44 papers · 1.5k indexed · h-index 23

L. Usellini

44 papers receiving 1.5k citations

Peers

L. Usellini
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 409
  • Cellular and Molecular Neuroscience 308
  • Surgery 685
  • Neurology 217
  • Epidemiology 488
Replace Guida Maria Portela‐Gomes with:
Guida Maria Portela‐Gomes Sweden
B. Frigerio Italy
Anne‐Marie Madec France
Reiko Kurotani Japan
Esw Ngan Hong Kong
Andreas Gocht Germany
Pamela M. Thomas United States
Masanori Naito Japan
M. A. Kelly United Kingdom
Kazuyuki Hamaguchi Japan
L. Usellini relative to Guida Maria Portela‐Gomes Sweden Guida Maria Portela‐Gomes's profile →
Citations per field
00.5×1.5×1.8×
Guida Maria Portela‐Gomes · 1×
Citations per year

Countries citing papers authored by L. Usellini

Since Specialization
Citations

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

Fields of papers citing papers by L. Usellini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200521
2 200412
3 200394
4 2001269
5 19958
6 19953
7
Different expression of chromogranin A and chromogranin B in various types of pituitary adenomas.
19938
8 199255
9 199138
10 199028
11 199018
12 19858
13 198524
14
The contribution of immunohistochemistry to the diagnosis of neuroendocrine tumors.
198422
15 198335
16 198225
17
The diffuse endocrine-paracrine system of the gut in health and disease: ultrastructural features.
198135
18
Endocrine cells of the gastrointestinal tract and related tumors.
197986
19 197858
20 197752

About L. Usellini

L. Usellini is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Neurology, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (15 papers), Neuropeptides and Animal Physiology (11 papers), Neuroblastoma Research and Treatments (9 papers), Pituitary Gland Disorders and Treatments (7 papers), Diabetes Treatment and Management (7 papers), Pancreatic function and diabetes (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Adrenal and Paraganglionic Tumors (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (409 citations), Cellular and Molecular Neuroscience (308 citations) and Surgery (685 citations). L. Usellini has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Enrico Solcia, C. Capella, Roberto Buffa, B. Frigerio, Paolo Fontana, Carlo Capella, Franco Folli, Alberto M. Davalli, Roberto Fiocca and Guido Rindi. Their work appears in journals such as Histochemistry and Cell Biology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Cancer, Diabetes and Histopathology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026