Leandro Jimenez

1.0k total citations
7 papers, 526 citations indexed

About

Leandro Jimenez is a scholar working on Molecular Biology, Oncology and Rheumatology. According to data from OpenAlex, Leandro Jimenez has authored 7 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Rheumatology. Recurrent topics in Leandro Jimenez's work include RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (2 papers) and Folate and B Vitamins Research (2 papers). Leandro Jimenez is often cited by papers focused on RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (2 papers) and Folate and B Vitamins Research (2 papers). Leandro Jimenez collaborates with scholars based in Brazil and United States. Leandro Jimenez's co-authors include André N. A. Gonçalves, Helder I. Nakaya, Antônio Edson Rocha Oliveira, Rachel Creighton, Jean Pierre Schatzmann Peron, Youvika Singh, Bruna Garbes Gonçalves Pinto, Romualdo Barroso‐Sousa, Luís Felipe Campesato and Pedro A. F. Galante and has published in prestigious journals such as The Journal of Immunology, The FASEB Journal and The Journal of Infectious Diseases.

In The Last Decade

Leandro Jimenez

7 papers receiving 517 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leandro Jimenez Brazil 6 208 191 117 102 98 7 526
Jiahong Xia China 10 272 1.3× 121 0.6× 82 0.7× 52 0.5× 20 0.2× 24 576
Meghna Alimchandani United States 14 91 0.4× 42 0.2× 79 0.7× 62 0.6× 75 0.8× 22 629
Xiaona Chang China 12 64 0.3× 110 0.6× 149 1.3× 53 0.5× 51 0.5× 47 438
Gaetano Di Terlizzi Italy 6 162 0.8× 166 0.9× 176 1.5× 28 0.3× 49 0.5× 9 403
Tiangang Ma China 12 79 0.4× 37 0.2× 214 1.8× 72 0.7× 158 1.6× 17 442
Rupert Negus United Kingdom 8 54 0.3× 454 2.4× 180 1.5× 47 0.5× 95 1.0× 10 941
Heleia Roca-Ho Spain 12 219 1.1× 166 0.9× 158 1.4× 18 0.2× 8 0.1× 21 648
Yuichiro Yamamoto Japan 10 67 0.3× 73 0.4× 135 1.2× 39 0.4× 47 0.5× 29 356
Ahmed O. Elmehrath Egypt 8 49 0.2× 117 0.6× 100 0.9× 91 0.9× 62 0.6× 14 372
Simon Mucha United States 8 70 0.3× 90 0.5× 137 1.2× 19 0.2× 24 0.2× 21 289

Countries citing papers authored by Leandro Jimenez

Since Specialization
Citations

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

Fields of papers citing papers by Leandro Jimenez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leandro Jimenez

This figure shows the co-authorship network connecting the top 25 collaborators of Leandro Jimenez. A scholar is included among the top collaborators of Leandro Jimenez 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 Leandro Jimenez. Leandro Jimenez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Jimenez, Leandro, André N. A. Gonçalves, Matthew E. Pipkin, et al.. (2021). Kdm6b Regulates the Generation of Effector CD8+ T Cells by Inducing Chromatin Accessibility in Effector-Associated Genes. The Journal of Immunology. 206(9). 2170–2183. 20 indexed citations
2.
Pinto, Bruna Garbes Gonçalves, Antônio Edson Rocha Oliveira, Youvika Singh, et al.. (2020). ACE2 Expression Is Increased in the Lungs of Patients With Comorbidities Associated With Severe COVID-19. The Journal of Infectious Diseases. 222(4). 556–563. 275 indexed citations
3.
Conti, Aline de, Volodymyr Tryndyak, Renato Heidor, et al.. (2020). Butyrate-containing structured lipids inhibit RAC1 and epithelial-to-mesenchymal transition markers: a chemopreventive mechanism against hepatocarcinogenesis. The Journal of Nutritional Biochemistry. 86. 108496–108496. 12 indexed citations
4.
Conti, Aline de, Volodymyr Tryndyak, Leandro Jimenez, et al.. (2019). Gene Expression and DNA Methylation Alterations in the Glycine N-Methyltransferase Gene in Diet-Induced Nonalcoholic Fatty Liver Disease-Associated Carcinogenesis. Toxicological Sciences. 170(2). 273–282. 28 indexed citations
5.
Jimenez, Leandro, Rodrigo Oliva Perez, Guilherme Pagin São Julião, et al.. (2019). Prediction of Poor Response to Neoadjuvant Chemoradiation in Patients With Rectal Cancer Using a DNA Repair Deregulation Score: Picking the Losers Instead of the Winners. Diseases of the Colon & Rectum. 63(3). 300–309. 4 indexed citations
6.
Pogribny, Igor P., Kostiantyn Dreval, Stepan Melnyk, et al.. (2017). Epigenetically mediated inhibition of S‐adenosylhomocysteine hydrolase and the associated dysregulation of 1‐carbon metabolism in nonalcoholic steatohepatitis and hepatocellular carcinoma. The FASEB Journal. 32(3). 1591–1601. 19 indexed citations
7.
Campesato, Luís Felipe, Romualdo Barroso‐Sousa, Leandro Jimenez, et al.. (2015). Comprehensive cancer-gene panels can be used to estimate mutational load and predict clinical benefit to PD-1 blockade in clinical practice. Oncotarget. 6(33). 34221–34227. 168 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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2026