Leandro M. Colli

2.5k citations
35 papers · 700 · h-index 15

Impact in

Papers in

Leandro M. Colli

33 papers receiving 694 citations

Peers

Leandro M. Colli
Comparison fields: 5 of 72
  • Endocrinology, Diabetes and Metabolism 247
  • Genetics 89
  • Cancer Research 110
  • Oncology 147
  • Behavioral Neuroscience 15
Replace Ferdous M. Barlaskar with:
Ferdous M. Barlaskar United States
Katharina H. Ruebel United States
Linda W.C. Ng Hong Kong
Tak Yung Man United Kingdom
Shaojian Lin China
Walid J. Azar Australia
Yicheng Qi China
Florian Wernig United Kingdom
Mariella Patti Italy
F. Mirshahi France
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Citations per year

Countries citing papers authored by Leandro M. Colli

Since Specialization
Citations

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

Fields of papers citing papers by Leandro M. Colli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leandro M. Colli. 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 Leandro M. Colli. The network helps show where Leandro M. Colli may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016100
2 201799
3 201551
4 201450
5 201544
6 201036
7 201629
8 201326
9 201324
10 201624
11 202223
12 200721
13 202215
14 202015
15 201815
16 201414
17 202014
18 201212
19 201712
20 202210

About Leandro M. Colli

Leandro M. Colli is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 35 papers that have together received 700 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (10 papers), Cancer Genomics and Diagnostics (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Adrenal and Paraganglionic Tumors (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Ferroptosis and cancer prognosis (2 papers) and Prostate Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (247 citations), Genetics (89 citations), Cancer Research (110 citations), Oncology (147 citations) and Behavioral Neuroscience (15 citations). Leandro M. Colli has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Margaret de Castro, Lea Jessop, Timothy A. Myers, Mitchell J. Machiela, Stephen J. Chanock, Kai Yu, Ayrton Custódio Moreira, Mônica R. Gadelha, Leandro Kasuki and Sonir Roberto Rauber Antonini. Their work appears in journals such as PLoS ONE, Cancer Research, European Journal of Endocrinology, Hormone and Metabolic Research and Frontiers in Immunology.

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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