Lucas Goedert

871 total citations · 1 hit paper
8 papers, 646 citations indexed

About

Lucas Goedert is a scholar working on Molecular Biology, Cancer Research and Organic Chemistry. According to data from OpenAlex, Lucas Goedert has authored 8 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Organic Chemistry. Recurrent topics in Lucas Goedert's work include Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers) and Melanoma and MAPK Pathways (3 papers). Lucas Goedert is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers) and Melanoma and MAPK Pathways (3 papers). Lucas Goedert collaborates with scholars based in Brazil, United States and United Kingdom. Lucas Goedert's co-authors include Richard C. Koya, Siwen Hu‐Lieskovan, Antoni Ribas, Thomas G. Graeber, Begoña Comı́n-Anduix, Stephen Mok, Blanca Homet Moreno, Elaine M. Pinheiro, Lídia Robert and Jennifer Tsoi and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Lucas Goedert

8 papers receiving 640 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Improved antitumor activity of immunotherapy with BRAF and MEK inhibitors in BRAF ^V600E melanoma

2015 435 citations Siwen Hu‐Lieskovan, Stephen Mok et al. Science Translational Medicine profile →

Peers

Lucas Goedert

MB

ONCOL

IMMUN

CR

PFM

Elisabetta Vergani Italy

Sara Mainardi Netherlands

Aida Shahrabi Netherlands

Joanna Long United States

Touko Inao Japan

Samar Alanazi United States

Jong Wook Kim United States

Jill Hallin United States

Ho-June Lee France

Elisabetta Vergani Italy

Lucas Goedert

403 ×1.0

MB

181 ×0.5

ONCOL

179 ×1.0

IMMUN

207 ×1.3

CR

34 ×0.7

PFM

Citations per year, relative to Lucas Goedert Lucas Goedert (= 1×) peers Elisabetta Vergani

Countries citing papers authored by Lucas Goedert

Since Specialization

Citations

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

Fields of papers citing papers by Lucas Goedert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucas Goedert

This figure shows the co-authorship network connecting the top 25 collaborators of Lucas Goedert. A scholar is included among the top collaborators of Lucas Goedert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lucas Goedert. Lucas Goedert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Muys, Bruna Rodrigues, Lucas Goedert, Cibele C. Cardoso, et al.. (2020). Contributions of HOX genes to cancer hallmarks: Enrichment pathway analysis and review. Tumor Biology. 42(5). 2904795682–2904795682. 45 indexed citations

2.

Goedert, Lucas, et al.. (2019). Control of nucleolar stress and translational reprogramming by lncRNAs. SHILAP Revista de lepidopterología. 3(1). 19–26. 18 indexed citations

3.

Vendramin, Roberto, Hideaki Ishikawa, Lucas Goedert, et al.. (2018). SAMMSON fosters cancer cell fitness by concertedly enhancing mitochondrial and cytosolic translation. Nature Structural & Molecular Biology. 25(11). 1035–1046. 87 indexed citations

4.

Goedert, Lucas, Jéssica Rodrigues Plaça, César Seigi Fuziwara, et al.. (2017). Identification of Long Noncoding RNAs Deregulated in Papillary Thyroid Cancer and Correlated with BRAFV600E Mutation by Bioinformatics Integrative Analysis. Scientific Reports. 7(1). 1662–1662. 27 indexed citations

5.

Goedert, Lucas, Cristiano Gonçalves Pereira, Jason Roszik, et al.. (2016). RMEL3, a novel BRAFV600E-associated long noncoding RNA, is required for MAPK and PI3K signaling in melanoma. Oncotarget. 7(24). 36711–36718. 28 indexed citations

6.

Hu‐Lieskovan, Siwen, Stephen Mok, Blanca Homet Moreno, et al.. (2015). Improved antitumor activity of immunotherapy with BRAF and MEK inhibitors in BRAF ^V600E melanoma. Science Translational Medicine. 7(279). 279ra41–279ra41. 435 indexed citations breakdown →

7.

Hu‐Lieskovan, Siwen, Stephen Mok, Lucas Goedert, et al.. (2014). Combinatorial effect of dabrafenib, trametinib, and adoptive cell transfer (ACT) in an immune-competent murine model of BRAF^V600E mutant melanoma.. Journal of Clinical Oncology. 32(15_suppl). 2512–2512. 4 indexed citations

8.

Goedert, Lucas, Richard C. Koya, Siwen Hu‐Lieskovan, & Antoni Ribas. (2014). Exosomes as a predictor tool of acquired resistance to melanoma treatment. BMC Proceedings. 8(S4). 2 indexed citations

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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