Gregorio Alanis‐Lobato

2.3k total citations · 1 hit paper
33 papers, 1.4k citations indexed

About

Gregorio Alanis‐Lobato is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Computational Theory and Mathematics. According to data from OpenAlex, Gregorio Alanis‐Lobato has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 5 papers in Statistical and Nonlinear Physics and 5 papers in Computational Theory and Mathematics. Recurrent topics in Gregorio Alanis‐Lobato's work include Bioinformatics and Genomic Networks (12 papers), Pluripotent Stem Cells Research (5 papers) and Complex Network Analysis Techniques (5 papers). Gregorio Alanis‐Lobato is often cited by papers focused on Bioinformatics and Genomic Networks (12 papers), Pluripotent Stem Cells Research (5 papers) and Complex Network Analysis Techniques (5 papers). Gregorio Alanis‐Lobato collaborates with scholars based in Germany, United Kingdom and Saudi Arabia. Gregorio Alanis‐Lobato's co-authors include Miguel A. Andrade‐Navarro, Carlo Vittorio Cannistraci, Timothy Ravasi, Martin H. Schaefer, Pablo Mier, Afshan McCarthy, Kathy K. Niakan, Norah M. E. Fogarty, James M. A. Turner and Leila Christie and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Gregorio Alanis‐Lobato

31 papers receiving 1.4k 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.

HIPPIE v2.0: enhancing meaningfulness and reliability of protein–protein interaction networks

2016 323 citations Gregorio Alanis‐Lobato, Miguel A. Andrade‐Navarro et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gregorio Alanis‐Lobato Germany	16	1.0k	331	226	168	132	33	1.4k
Roland Krause Germany	16	2.0k 1.9×	211 0.6×	157 0.7×	391 2.3×	216 1.6×	30	2.6k
Duygu Ucar United States	25	1.9k 1.8×	321 1.0×	134 0.6×	86 0.5×	352 2.7×	55	3.1k
Anaı̈s Baudot France	20	1.1k 1.1×	65 0.2×	85 0.4×	211 1.3×	185 1.4×	54	1.6k
Timo Hannay United Kingdom	9	1.0k 1.0×	69 0.2×	180 0.8×	201 1.2×	134 1.0×	19	1.8k
Alexander P. Nikitin United Kingdom	13	584 0.6×	160 0.5×	125 0.6×	69 0.4×	90 0.7×	38	1.1k
Ding-fang Bu China	13	1.0k 1.0×	304 0.9×	135 0.6×	137 0.8×	202 1.5×	42	2.2k
Teresa Reguly Canada	7	2.6k 2.5×	121 0.4×	106 0.5×	445 2.6×	222 1.7×	8	2.9k
Fangting Li China	15	930 0.9×	87 0.3×	44 0.2×	81 0.5×	164 1.2×	49	1.3k
Łukasz Salwiński United States	15	2.6k 2.5×	103 0.3×	86 0.4×	583 3.5×	146 1.1×	22	2.9k
Michael Livstone United States	9	2.2k 2.1×	83 0.3×	96 0.4×	380 2.3×	295 2.2×	10	2.8k

Countries citing papers authored by Gregorio Alanis‐Lobato

Since Specialization

Citations

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

Fields of papers citing papers by Gregorio Alanis‐Lobato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregorio Alanis‐Lobato. 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 Gregorio Alanis‐Lobato. The network helps show where Gregorio Alanis‐Lobato may publish in the future.

Co-authorship network of co-authors of Gregorio Alanis‐Lobato

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

All Works

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20 of 20 papers shown

Alanis‐Lobato, Gregorio, Martin Oti, Werner Rust, et al.. (2025). Mapping administration route-dependent transduction profiles of commonly used AAV variants in mice by barcode amplicon sequencing. Molecular Therapy — Methods & Clinical Development. 33(2). 101468–101468.

Menchero, Sergio, et al.. (2025). Marsupial single-cell transcriptomics identifies temporal diversity in mammalian developmental programs. Developmental Cell. 60(23). 3339–3356.e5.

Zhang, Chenfeng, Christian Ineichen, Hannes Sigrist, et al.. (2024). Chronic stress deficits in reward behaviour co-occur with low nucleus accumbens dopamine activity during reward anticipation specifically. Communications Biology. 7(1). 966–966. 6 indexed citations

Fan, Wenqiang, Jerónimo Jurado‐Arjona, Gregorio Alanis‐Lobato, et al.. (2023). The transcriptional co‐activator Yap1 promotes adult hippocampal neural stem cell activation. The EMBO Journal. 42(11). e110384–e110384. 16 indexed citations

Alanis‐Lobato, Gregorio, Thomas E. Bartlett, Claire Simon, et al.. (2023). MICA: a multi-omics method to predict gene regulatory networks in early human embryos. Life Science Alliance. 7(1). e202302415–e202302415. 9 indexed citations

Alanis‐Lobato, Gregorio, et al.. (2022). Knowledge Graphs for Indication Expansion: An Explainable Target-Disease Prediction Method. Frontiers in Genetics. 13. 814093–814093. 4 indexed citations

Alanis‐Lobato, Gregorio, Jasmin Zohren, Afshan McCarthy, et al.. (2021). Frequent loss of heterozygosity in CRISPR-Cas9–edited early human embryos. Proceedings of the National Academy of Sciences. 118(22). 144 indexed citations

Gerri, Claudia, Afshan McCarthy, Gregorio Alanis‐Lobato, et al.. (2020). Initiation of a conserved trophectoderm program in human, cow and mouse embryos. Nature. 587(7834). 443–447. 180 indexed citations

Wamaitha, Sissy E., Gregorio Alanis‐Lobato, Claudia Gerri, et al.. (2020). IGF1-mediated human embryonic stem cell self-renewal recapitulates the embryonic niche. Nature Communications. 11(1). 764–764. 46 indexed citations

10.

Alanis‐Lobato, Gregorio, Claudia Gerri, Sugako Ogushi, et al.. (2020). IGF1-mediated human embryonic stem cell self-renewal recapitulates the embryonic niche. Yearbook of pediatric endocrinology. 3 indexed citations

11.

Alanis‐Lobato, Gregorio, et al.. (2019). Assessing the reliability of gene expression measurements in very-low-numbers of human monocyte-derived macrophages. Scientific Reports. 9(1). 17908–17908. 5 indexed citations

12.

Alanis‐Lobato, Gregorio, Pablo Mier, & Miguel A. Andrade‐Navarro. (2018). The latent geometry of the human protein interaction network. Bioinformatics. 34(16). 2826–2834. 22 indexed citations

13.

Hildebrandt, Andrea, Gregorio Alanis‐Lobato, Andrea Voigt, et al.. (2017). Interaction profiling of RNA-binding ubiquitin ligases reveals a link between posttranscriptional regulation and the ubiquitin system. Scientific Reports. 7(1). 16582–16582. 16 indexed citations

14.

Alanis‐Lobato, Gregorio, Pablo Mier, & Miguel A. Andrade‐Navarro. (2016). Manifold learning and maximum likelihood estimation for hyperbolic network embedding. Applied Network Science. 1(1). 10–10. 29 indexed citations

15.

Mier, Pablo, Gregorio Alanis‐Lobato, & Miguel A. Andrade‐Navarro. (2016). Protein-protein interactions can be predicted using coiled coil co-evolution patterns. Journal of Theoretical Biology. 412. 198–203. 12 indexed citations

16.

Alanis‐Lobato, Gregorio. (2015). Mining protein interactomes to improve their reliability and support the advancement of network medicine. Frontiers in Genetics. 6. 296–296. 13 indexed citations

17.

Alanis‐Lobato, Gregorio, Carlo Vittorio Cannistraci, Anders Eriksson, Andrea Manica, & Timothy Ravasi. (2015). Highlighting nonlinear patterns in population genetics datasets. Scientific Reports. 5(1). 8140–8140. 25 indexed citations

18.

Alanis‐Lobato, Gregorio, Carlo Vittorio Cannistraci, & Timothy Ravasi. (2013). Exploitation of genetic interaction network topology for the prediction of epistatic behavior. Genomics. 102(4). 202–208. 12 indexed citations

19.

Cannistraci, Carlo Vittorio, Gregorio Alanis‐Lobato, & Timothy Ravasi. (2013). Minimum curvilinearity to enhance topological prediction of protein interactions by network embedding. Bioinformatics. 29(13). i199–i209. 82 indexed citations

20.

Cannistraci, Carlo Vittorio, Gregorio Alanis‐Lobato, & Timothy Ravasi. (2013). From link-prediction in brain connectomes and protein interactomes to the local-community-paradigm in complex networks. Scientific Reports. 3(1). 1613–1613. 297 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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