Manuel Sanclemente

667 total citations
7 papers, 362 citations indexed

About

Manuel Sanclemente is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Manuel Sanclemente has authored 7 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Oncology. Recurrent topics in Manuel Sanclemente's work include Cancer-related Molecular Pathways (3 papers), Advanced Breast Cancer Therapies (2 papers) and Microtubule and mitosis dynamics (2 papers). Manuel Sanclemente is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), Advanced Breast Cancer Therapies (2 papers) and Microtubule and mitosis dynamics (2 papers). Manuel Sanclemente collaborates with scholars based in Spain, United States and Germany. Manuel Sanclemente's co-authors include Mónica Musteanu, Mariano Barbacid, Nicholas McGranahan, Guillermo de Cárcer, Marcos Malumbres, Aicha El Bakkali, Kálmán Somogyi, Rocı́o Sotillo, Beatriz Escobar and Alba De Martino and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Manuel Sanclemente

7 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Sanclemente Spain 6 264 112 90 80 74 7 362
Isabel Soria‐Bretones Canada 9 293 1.1× 126 1.1× 57 0.6× 66 0.8× 84 1.1× 10 378
Tatiana Y. Prudnikova Russia 13 267 1.0× 97 0.9× 149 1.7× 56 0.7× 78 1.1× 21 404
Sophie Lehn Sweden 9 194 0.7× 155 1.4× 63 0.7× 62 0.8× 78 1.1× 10 337
Keyu Gao China 7 239 0.9× 136 1.2× 155 1.7× 64 0.8× 65 0.9× 11 385
Ryan J. Ice United States 10 179 0.7× 98 0.9× 91 1.0× 44 0.6× 63 0.9× 14 293
Warapen Treekitkarnmongkol United States 8 281 1.1× 182 1.6× 107 1.2× 39 0.5× 87 1.2× 14 410
Caroline Farrington United States 8 353 1.3× 111 1.0× 50 0.6× 46 0.6× 77 1.0× 10 447
Zhen Ning Wee Singapore 4 267 1.0× 111 1.0× 71 0.8× 46 0.6× 113 1.5× 4 385
Xiaoding Hu United States 13 284 1.1× 132 1.2× 40 0.4× 91 1.1× 109 1.5× 23 402
Xianting Huang China 12 241 0.9× 89 0.8× 42 0.5× 54 0.7× 85 1.1× 28 370

Countries citing papers authored by Manuel Sanclemente

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Sanclemente

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Sanclemente

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Sanclemente. A scholar is included among the top collaborators of Manuel Sanclemente 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 Manuel Sanclemente. Manuel Sanclemente 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.
Arora, Mansi, Justin Moser, Mingwei Min, et al.. (2023). Rapid adaptation to CDK2 inhibition exposes intrinsic cell-cycle plasticity. Cell. 186(12). 2628–2643.e21. 66 indexed citations
2.
Moser, Justin C., Mingwei Min, Mónica Musteanu, et al.. (2023). Abstract 5992: Cells rapidly adapt to CDK2 inhibitors via plasticity of the CDK2/4/6-Rb-E2F axis. Cancer Research. 83(7_Supplement). 5992–5992. 1 indexed citations
3.
García‐Alonso, Sara, Pablo Mesa, Carmen G. Lechuga, et al.. (2022). Structure of the RAF1-HSP90-CDC37 complex reveals the basis of RAF1 regulation. Molecular Cell. 82(18). 3438–3452.e8. 33 indexed citations
4.
Esteban-Burgos, Laura, Haiyun Wang, Jie Zheng, et al.. (2020). Tumor regression and resistance mechanisms upon CDK4 and RAF1 inactivation in KRAS/P53 mutant lung adenocarcinomas. Proceedings of the National Academy of Sciences. 117(39). 24415–24426. 15 indexed citations
5.
Cárcer, Guillermo de, Aicha El Bakkali, Kálmán Somogyi, et al.. (2018). Plk1 overexpression induces chromosomal instability and suppresses tumor development. Nature Communications. 9(1). 3012–3012. 123 indexed citations
6.
Sanclemente, Manuel, Sarah Francoz, Laura Esteban-Burgos, et al.. (2018). c-RAF Ablation Induces Regression of Advanced Kras/Trp53 Mutant Lung Adenocarcinomas by a Mechanism Independent of MAPK Signaling. Cancer Cell. 33(2). 217–228.e4. 78 indexed citations
7.
Bosque, Alberto, Lisa Dietz, Ana Gallego-Lleyda, et al.. (2016). Comparative proteomics of exosomes secreted by tumoral Jurkat T cells and normal human T cell blasts unravels a potential tumorigenic role for valosin-containing protein. Oncotarget. 7(20). 29287–29305. 46 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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