Lucieli Ceolin

740 citations
19 papers · 419 · h-index 13

Impact in

Papers in

Lucieli Ceolin

19 papers receiving 414 citations

Peers

Lucieli Ceolin
Comparison fields: 5 of 55
  • Endocrinology, Diabetes and Metabolism 297
  • Cancer Research 59
  • Oncology 99
  • Genetics 73
  • Epidemiology 81
Replace Susan C. Lindsey with:
Susan C. Lindsey Brazil
Patricia Vergani United Kingdom
Daniela Cordella Italy
Laís Moraes Brazil
Hanna Pisarek Poland
S Khalaf United Kingdom
Peter Groth Germany
C Houdent France
Ricardo V. Lloyd United States
Lucieli Ceolin relative to Susan C. Lindsey Brazil Susan C. Lindsey's profile →
Citations per field
00.5×1.5×2.4×
Susan C. Lindsey · 1×
Citations per year

Countries citing papers authored by Lucieli Ceolin

Since Specialization
Citations

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

Fields of papers citing papers by Lucieli Ceolin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201995
2 201234
3 201633
4 201032
5 201132
6 201225
7 201624
8 201424
9 202319
10 201319
11
A multimodality investigation of cerebral haemodynamics and autoregulation in phMRI
200618
12 201816
13 202015
14 201410
15 20129
16 20166
17 20204
18 20123
19 20221

About Lucieli Ceolin

Lucieli Ceolin is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Oncology, Epidemiology and Genetics, having authored 19 papers that have together received 419 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (15 papers), Cancer-related Molecular Pathways (5 papers), Neuroendocrine Tumor Research Advances (5 papers), Hedgehog Signaling Pathway Studies (3 papers), BRCA gene mutations in cancer (3 papers), Thyroid Disorders and Treatments (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Adrenal and Paraganglionic Tumors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (297 citations), Cancer Research (59 citations), Oncology (99 citations), Genetics (73 citations) and Epidemiology (81 citations). Lucieli Ceolin has collaborated with scholars based in Brazil, Belgium and Italy. Frequent co-authors include Ana Luiza Maia, Carla Vaz Ferreira, Mírian Romitti, Débora Rodrigues Siqueira, Simone Magagnin Wajner, Márcia Puñales, José Miguel Dora, César Seigi Fuziwara, Alessandro Gozzi and Léa Maria Zanini Maciel. Their work appears in journals such as Endocrine Related Cancer, European Journal of Endocrinology, International Journal of Molecular Sciences, Experimental and Molecular Pathology and Familial Cancer.

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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