Isabella Lupi

2.9k citations
50 papers · 2.1k indexed · h-index 25
    • Pituitary Gland Disorders and Treatments 29
    • Growth Hormone and Insulin-like Growth Factors 19
    • Adrenal Hormones and Disorders 18
    • Thyroid Disorders and Treatments 6
    • Thyroid Cancer Diagnosis and Treatment 5
  • Neurology top 5%
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers 7
  • Nephrology top 5%
  • Genetics top 5%
    • Diabetes and associated disorders 5
    • Neuroendocrine Tumor Research Advances 9

Isabella Lupi

49 papers receiving 2.0k citations

Peers

Isabella Lupi
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Neurology 373
  • Oncology 562
  • Nephrology 119
  • Genetics 174
Replace S M Shalet with:
S M Shalet United Kingdom
Anurag Lila India
Ernesto De Menis Italy
E Modigliani France
Paola Loli Italy
Carlos Benbassat Israel
Lennart Bondeson Sweden
Yuji Mizukami Japan
Roberto Gastaldi Italy
Deborah Wenkert United States
Isabella Lupi relative to S M Shalet United Kingdom S M Shalet's profile →
Citations per field
00.5×7.5×
S M Shalet · 1×
Citations per year

Countries citing papers authored by Isabella Lupi

Since Specialization
Citations

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

Fields of papers citing papers by Isabella Lupi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201946
2 201615
3 201623
4 2016283
5 20141
6 20144
7 201355
8 20137
9 201127
10 20116
11 2011190
12 2009115
13 200922
14 200847
15 20051
16 2005148
17 20041
18 200392
19 200233
20 20027

About Isabella Lupi

Isabella Lupi is a scholar working on Endocrinology, Diabetes and Metabolism, Neurology and Oncology, having authored 50 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (29 papers), Growth Hormone and Insulin-like Growth Factors (19 papers), Adrenal Hormones and Disorders (18 papers), Neuroendocrine Tumor Research Advances (9 papers), Cancer Immunotherapy and Biomarkers (7 papers), Thyroid Disorders and Treatments (6 papers), Diabetes and associated disorders (5 papers) and Thyroid Cancer Diagnosis and Treatment (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Neurology (373 citations) and Oncology (562 citations). Isabella Lupi has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Patrizio Caturegli, Melissa A. Landek‐Salgado, Mirco Cosottini, Luca Manetti, Fausto Bogazzi, Giulia Di Dalmazi, Angelika Gutenberg, Martina Lombardi, Paola Leporati and Hiroaki Kimura. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism 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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