Luis Tobalina

760 total citations
17 papers, 411 citations indexed

About

Luis Tobalina is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Luis Tobalina has authored 17 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Luis Tobalina's work include Bioinformatics and Genomic Networks (9 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and Gene Regulatory Network Analysis (4 papers). Luis Tobalina is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and Gene Regulatory Network Analysis (4 papers). Luis Tobalina collaborates with scholars based in United Kingdom, Spain and Germany. Luis Tobalina's co-authors include Joshua Armenia, Mark J. O’Connor, Josep V. Forment, Francisco J. Planes, Jon Pey, Julio Sáez-Rodríguez, Laurence Calzone, Pauline Traynard, Xabier Agirre and Leire Gárate and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Luis Tobalina

17 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luis Tobalina United Kingdom	12	325	162	48	48	39	17	411
Jay Ji United States	6	180 0.6×	162 1.0×	8 0.2×	29 0.6×	17 0.4×	12	297
Diego Alonso‐López Spain	9	351 1.1×	92 0.6×	62 1.3×	77 1.6×	9 0.2×	14	529
Syd Barthorpe United Kingdom	5	141 0.4×	84 0.5×	30 0.6×	43 0.9×	8 0.2×	7	210
Yihong Yu China	9	284 0.9×	94 0.6×	81 1.7×	74 1.5×	4 0.1×	15	453
Rahmen Bin Ali Netherlands	8	281 0.9×	166 1.0×	7 0.1×	61 1.3×	12 0.3×	9	404
Chih-Long Chang Taiwan	9	118 0.4×	39 0.2×	15 0.3×	26 0.5×	49 1.3×	15	326
Kenichi Tahara Japan	12	135 0.4×	43 0.3×	13 0.3×	63 1.3×	23 0.6×	42	358
Stephen Hyter United States	11	147 0.5×	87 0.5×	16 0.3×	72 1.5×	16 0.4×	21	306
Neil Hewitt United Kingdom	6	273 0.8×	89 0.5×	41 0.9×	15 0.3×	3 0.1×	11	367
Doyeon Ha South Korea	5	119 0.4×	136 0.8×	41 0.9×	66 1.4×	5 0.1×	5	307

Countries citing papers authored by Luis Tobalina

Since Specialization

Citations

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

Fields of papers citing papers by Luis Tobalina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis Tobalina

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

All Works

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17 of 17 papers shown

Ciardullo, Carmela, Luis Tobalina, T. Hedley Carr, et al.. (2025). Early ctDNA Dynamics Inform First-Line Therapy in Patients with Extensive-Stage Small Cell Lung Cancer. Clinical Cancer Research. 31(21). 4457–4462. 1 indexed citations

Karmokar, Ankur, Adina Hughes, Zena Wilson, et al.. (2023). Relevance of ATM Status in Driving Sensitivity to DNA Damage Response Inhibitors in Patient-Derived Xenograft Models. Cancers. 15(16). 4195–4195. 4 indexed citations

Montagud, Arnau, Luis Tobalina, Pauline Traynard, et al.. (2022). Patient-specific Boolean models of signalling networks guide personalised treatments. eLife. 11. 37 indexed citations

Lukashchuk, Natalia, Joshua Armenia, Luis Tobalina, et al.. (2022). BRCA reversion mutations mediated by microhomology-mediated end joining (MMEJ) as a mechanism of resistance to PARP inhibitors in ovarian and breast cancer.. Journal of Clinical Oncology. 40(16_suppl). 5559–5559. 9 indexed citations

Gjerga, Enio, Aurélien Dugourd, Luis Tobalina, Abel Sousa, & Julio Sáez-Rodríguez. (2021). PHONEMeS: Efficient Modeling of Signaling Networks Derived from Large-Scale Mass Spectrometry Data. Journal of Proteome Research. 20(4). 2138–2144. 15 indexed citations

Winkler, C, Joshua Armenia, Gemma N. Jones, et al.. (2020). SLFN11 informs on standard of care and novel treatments in a wide range of cancer models. British Journal of Cancer. 124(5). 951–962. 51 indexed citations

Tobalina, Luis, et al.. (2020). A meta-analysis of reversion mutations in BRCA genes identifies signatures of DNA end-joining repair mechanisms driving therapy resistance. Annals of Oncology. 32(1). 103–112. 114 indexed citations

Valcárcel, Luis V., et al.. (2019). rMTA: robust metabolic transformation analysis. Bioinformatics. 35(21). 4350–4355. 9 indexed citations

Tobalina, Luis, et al.. (2018). How to find the right drug for each patient? Advances and challenges in pharmacogenomics. Current Opinion in Systems Biology. 10. 53–62. 17 indexed citations

10.

Apaolaza, Iñigo, Edurne San José‐Eneriz, Luis Tobalina, et al.. (2017). An in-silico approach to predict and exploit synthetic lethality in cancer metabolism. Nature Communications. 8(1). 459–459. 38 indexed citations

11.

Traynard, Pauline, Luis Tobalina, Federica Eduati, Laurence Calzone, & Julio Sáez-Rodríguez. (2017). Logic Modeling in Quantitative Systems Pharmacology. CPT Pharmacometrics & Systems Pharmacology. 6(8). 499–511. 22 indexed citations

12.

Tobalina, Luis, et al.. (2016). Assessment of FBA Based Gene Essentiality Analysis in Cancer with a Fast Context-Specific Network Reconstruction Method. PLoS ONE. 11(5). e0154583–e0154583. 9 indexed citations

13.

Tobalina, Luis, Jon Pey, & Francisco J. Planes. (2016). Direct calculation of minimal cut sets involving a specific reaction knock-out. Bioinformatics. 32(13). 2001–2007. 11 indexed citations

14.

Tobalina, Luis, Rafael Bargiela, Jon Pey, et al.. (2015). Context-specific metabolic network reconstruction of a naphthalene-degrading bacterial community guided by metaproteomic data. Bioinformatics. 31(11). 1771–1779. 26 indexed citations

15.

Pey, Jon, et al.. (2014). Advances in network-based metabolic pathway analysis and gene expression data integration. Briefings in Bioinformatics. 16(2). 265–279. 22 indexed citations

16.

Pey, Jon, et al.. (2014). TreeEFM: calculating elementary flux modes using linear optimization in a tree-based algorithm. Bioinformatics. 31(6). 897–904. 12 indexed citations

17.

Pey, Jon, Luis Tobalina, Joaquín M. Prada, & Francisco J. Planes. (2013). A network-based approach for predicting key enzymes explaining metabolite abundance alterations in a disease phenotype. BMC Systems Biology. 7(1). 62–62. 14 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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