Jorge Lima

58 papers receiving 2.7k citations

Jorge Lima's Hit Papers

BRAF mutations and RET/PTC rearrangements are alternative events in the etiopathogenesis of PTC 2003 · 535 citations
5350+7+15Years since publication100200300400500

Peers

Jorge Lima
Comparison fields: 5 of 112
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Cancer Research 358
  • Oncology 607
  • Pathology and Forensic Medicine 244
  • Rehabilitation 84
Replace Attan Kasid with:
Attan Kasid United States
Tatsuya Kin Canada
Rulong Shen United States
Marius Raica Romania
Robin C. Muise‐Helmericks United States
Jean‐Michel Caillaud France
Gangwen Han United States
David R. Soto‐Pantoja United States
Daisuke Uchida Japan
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Citations per field
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Citations per year

Countries citing papers authored by Jorge Lima

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
BRAF mutations and RET/PTC rearrangements are alternative events in the etiopathogenesis of PTC
Hit paper breakdown →
2003535
2 2014218
3 2002203
4 2005203
5 2005159
6 2004151
7 2018115
8 2012112
9 201491
10 200881
11 201168
12 201265
13 201860
14 200947
15 202246
16 196143
17 200739
18 200237
19 201434
20 201134

About Jorge Lima

Jorge Lima is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research, Oncology and Surgery, having authored 62 papers that have together received 2.8k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (13 papers), Cancer, Hypoxia, and Metabolism (11 papers), Cancer-related Molecular Pathways (7 papers), Adrenal and Paraganglionic Tumors (6 papers), Nanoparticle-Based Drug Delivery (6 papers), Glioma Diagnosis and Treatment (6 papers), Mitochondrial Function and Pathology (4 papers) and Neurofibromatosis and Schwannoma Cases (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Cancer Research (358 citations), Oncology (607 citations), Pathology and Forensic Medicine (244 citations) and Rehabilitation (84 citations). Jorge Lima has collaborated with scholars based in Portugal, United Kingdom and Brazil. Frequent co-authors include Paula Soares, Valdemar Máximo, Manuel Sobrinho‐Simões, Ana Preto, Vítor Trovisco, Patrícia Castro, Tiago O. Botelho, Ana Sofia Rocha, José Cameselle‐Teijeiro and Raquel Seruca. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, The Journal of Clinical Endocrinology & Metabolism, Cancers, European Journal of Public Health and Frontiers in Oncology.

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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