Mihai Albu

8.8k total citations · 1 hit paper
20 papers, 2.6k citations indexed

About

Mihai Albu is a scholar working on Molecular Biology, Artificial Intelligence and Cultural Studies. According to data from OpenAlex, Mihai Albu has authored 20 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Artificial Intelligence and 2 papers in Cultural Studies. Recurrent topics in Mihai Albu's work include RNA Research and Splicing (9 papers), RNA and protein synthesis mechanisms (6 papers) and Genomics and Chromatin Dynamics (6 papers). Mihai Albu is often cited by papers focused on RNA Research and Splicing (9 papers), RNA and protein synthesis mechanisms (6 papers) and Genomics and Chromatin Dynamics (6 papers). Mihai Albu collaborates with scholars based in Canada, United States and Germany. Mihai Albu's co-authors include Timothy R. Hughes, Matthew T. Weirauch, Samuel A. Lambert, Arttu Jolma, Yimeng Yin, Laura F. Campitelli, Jussi Taipale, Pratyush Kumar Das, Xiaoting Chen and Ally Yang and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Mihai Albu

20 papers receiving 2.6k 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.

The Human Transcription Factors

2018 2.0k citations Samuel A. Lambert, Arttu Jolma et al. Cell profile →

Peers

Countries citing papers authored by Mihai Albu

Since Specialization

Citations

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

Fields of papers citing papers by Mihai Albu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mihai Albu

This figure shows the co-authorship network connecting the top 25 collaborators of Mihai Albu. A scholar is included among the top collaborators of Mihai Albu 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 Mihai Albu. Mihai Albu 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

#	Work	Indexed citations
1	A resource of RNA-binding protein motifs across eukaryotes reveals evolutionary dynamics and gene-regulatory function 2025 ·Nature Biotechnology ·Alexander Sasse, Debashish Ray, Kaitlin U. Laverty, (unknown), Mihai Albu, (unknown), Yevgen Levdansky, (unknown), (unknown), (unknown), Cedrik Magis, Cédric Notredame, Eugene Valkov, Matthew T. Weirauch, Timothy R. Hughes, Quaid Morris	4
2	CisBP-RNA: a web resource for eukaryotic RNA-binding proteins and their motifs 2025 ·Nucleic Acids Research ·(unknown), Mihai Albu, Xiaoting Chen, Alexander Sasse, Kaitlin U. Laverty, Debashish Ray, (unknown), (unknown), Lucinda P. Lawson, Quaid Morris, Timothy R. Hughes, Matthew T. Weirauch	1
3	Fibroblast activation protein inhibitor PET/CT as an emerging diagnostic modality in interstitial lung disease and other fibrotic conditions 2024 ·PubMed ·Mihai Albu, Alexandru‐Emil Matei, Jörg H. W. Distler, Frederik L. Giesel, Yuriko Mori	2
4	RNA-binding proteins that lack canonical RNA-binding domains are rarely sequence-specific 2023 ·Scientific Reports ·Debashish Ray, Kaitlin U. Laverty, Arttu Jolma, (unknown), Reuben Samson, (unknown), (unknown), (unknown), Syed Nabeel‐Shah, Mihai Albu, Hong Zheng, Gabrielle Perron, Hyunmin Lee, Hamed S. Najafabadi, Benjamin J. Blencowe, Jack Greenblatt, Quaid Morris, Timothy R. Hughes	24
5	Reconstruction of full-length LINE-1 progenitors from ancestral genomes 2022 ·Genetics ·Laura F. Campitelli, (unknown), Mihai Albu, (unknown), (unknown), Mathieu Blanchette, Timothy R. Hughes	4
6	Similarity regression predicts evolution of transcription factor sequence specificity 2019 ·Nature Genetics ·Samuel A. Lambert, Ally Yang, Alexander Sasse, (unknown), Mihai Albu, Mark X. Caddick, Quaid Morris, Matthew T. Weirauch, Timothy R. Hughes	81
7	The Human Transcription Factors breakdown → 2018 ·Cell ·Samuel A. Lambert, Arttu Jolma, Laura F. Campitelli, Pratyush Kumar Das, Yimeng Yin, Mihai Albu, Xiaoting Chen, Jussi Taipale, Timothy R. Hughes, Matthew T. Weirauch	2049
8	Comparison of ChIP-Seq Data and a Reference Motif Set for Human KRAB C2H2 Zinc Finger Proteins 2017 ·G3 Genes Genomes Genetics ·(unknown), Samuel A. Lambert, Mihai Albu, Timothy R. Hughes	17
9	Motif comparison based on similarity of binding affinity profiles 2016 ·Bioinformatics ·Samuel A. Lambert, Mihai Albu, Timothy R. Hughes, Hamed S. Najafabadi	12
10	C2H2 zinc finger proteins greatly expand the human regulatory lexicon 2015 ·Nature Biotechnology ·Hamed S. Najafabadi, Sanié Mnaimneh, Frank W. Schmitges, Michael Garton, Kathy N. Lam, Ally Yang, Mihai Albu, Matthew T. Weirauch, Ernest Radovani, Philip M. Kim, Jack Greenblatt, Brendan J. Frey, Timothy R. Hughes	234
11	Identification of C2H2-ZF binding preferences from ChIP-seq data using RCADE 2015 ·Bioinformatics ·Hamed S. Najafabadi, Mihai Albu, Timothy R. Hughes	14
12	Mapping and analysis of Caenorhabditis elegans transcription factor sequence specificities 2015 ·eLife ·Kamesh Narasimhan, Samuel A. Lambert, Ally Yang, (unknown), Sanié Mnaimneh, Hong Zheng, Mihai Albu, Hamed S. Najafabadi, John Reece-Hoyes, Juan I. Fuxman Bass, Albertha J.M. Walhout, Matthew T. Weirauch, Timothy R. Hughes	70
13	Simulation and gaming to promote health education: Results of a usability test 2014 ·Health Education Journal ·Mihai Albu, Lynda Atack, (unknown)	16
14	The DNA Barcode Linker 2010 ·Molecular Ecology Resources ·Mihai Albu, Hamid Nikbakht, Mehrdad Hajibabaei, Dónal A. Hickey	8
15	Nucleotide Substitution Bias within the Genus Drosophila Affects the Pattern of Proteome Evolution 2009 ·Genome Biology and Evolution ·Mihai Albu, Xiang Jia Min, G. Brian Golding, Dónal A. Hickey	7
16	Typology, Areality, and Diffusion 2008 ·Oceanic Linguistics ·Mark Donohue, Søren Wichmann, Mihai Albu	14
17	Analyzing feature consistency using dissimilarity matrices 2008 ·Language Typology and Universals ·Michael Cysouw, Mihai Albu, Andreas Dress	9
18	Quantitative analyses of typological data 2006 ·MPG.PuRe (Max Planck Society) ·Mihai Albu	2
19	Testing methods on an artificially created textual tradition 2006 ·(unknown), (unknown), Roberto Mazza, (unknown), (unknown), E. Wattel, (unknown), (unknown), (unknown), Philippe V. Baret, Peter Robinson, (unknown), (unknown), Christopher J. Howe, Mihai Albu, Andreas Dress	17
20	Can GOLD "cope" with WALS? : retrofitting an ontology onto the world atlas of language structures 2005 ·Max Planck Institute for Plasma Physics ·Michael Cysouw, Jeff Good, Mihai Albu, (unknown)	2

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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