Serghei Mangul

14.7k total citations · 1 hit paper
70 papers, 1.5k citations indexed

About

Serghei Mangul is a scholar working on Molecular Biology, Cancer Research and Ecology. According to data from OpenAlex, Serghei Mangul has authored 70 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 15 papers in Cancer Research and 10 papers in Ecology. Recurrent topics in Serghei Mangul's work include Genomics and Phylogenetic Studies (26 papers), Cancer-related molecular mechanisms research (12 papers) and Scientific Computing and Data Management (10 papers). Serghei Mangul is often cited by papers focused on Genomics and Phylogenetic Studies (26 papers), Cancer-related molecular mechanisms research (12 papers) and Scientific Computing and Data Management (10 papers). Serghei Mangul collaborates with scholars based in United States, United Kingdom and Switzerland. Serghei Mangul's co-authors include Alex Zelikovsky, Eleazar Eskin, Ion Măndoiu, Marius Nicolae, Kathryn M. Allaire, David Y. Oh, Terence W. Friedlander, Sima P. Porten, Tony Li and Chiara Rancan and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Serghei Mangul

63 papers receiving 1.5k 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.

Intratumoral CD4+ T Cells Mediate Anti-tumor Cytotoxicity in Human Bladder Cancer

2020 464 citations Serghei Mangul et al. profile →

Peers

Serghei Mangul

IMMUN

ONCOL

GENET

Claudia Maletzki Germany

Andrew J. Oler United States

Xiaoling Liu China

Thomas Whisenant United States

Koen J. Dechering Netherlands

Gary Gilliland United States

Karen L. Cox United States

Adam Rosenthal United States

Sen Xu China

Helmut Burtscher Germany

Claudia Maletzki Germany

Serghei Mangul

432 ×0.5

341 ×0.9

IMMUN

493 ×1.4

ONCOL

226 ×1.1

136 ×0.9

GENET

Citations per year, relative to Serghei Mangul Serghei Mangul (= 1×) peers Claudia Maletzki

Countries citing papers authored by Serghei Mangul

Since Specialization

Citations

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

Fields of papers citing papers by Serghei Mangul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serghei Mangul

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Brito, Jaqueline, et al.. (2024). The DNA methylation landscape across the TCR loci in patients with acute myeloid leukemia. International Immunopharmacology. 138. 112376–112376. 1 indexed citations

Alser, Mohammed, Richard J. Abdill, Nathan LaPierre, et al.. (2024). Packaging and containerization of computational methods. Nature Protocols. 19(9). 2529–2539. 7 indexed citations

Łabaj, Paweł P., Florian Markowetz, Lynn M. Schriml, et al.. (2024). Genomic reproducibility in the bioinformatics era. Genome biology. 25(1). 213–213. 7 indexed citations

Zelikovsky, Alex, et al.. (2024). Early detection of emerging viral variants through analysis of community structure of coordinated substitution networks. Nature Communications. 15(1). 2838–2838. 3 indexed citations

Gheorghiță, Roxana, Andrei Lobiuc, Roxana Filip, et al.. (2024). The knowns and unknowns of long COVID-19: from mechanisms to therapeutical approaches. Frontiers in Immunology. 15. 1344086–1344086. 25 indexed citations

Sharma, Nitesh Kumar, Yesha Patel, Hovhannes J. Gukasyan, et al.. (2024). Pioneering Computational Culture Within Pharmacy Schools by Empowering Students With Data Science and Bioinformatics Skills. American Journal of Pharmaceutical Education. 89(2). 101341–101341.

Mancuso, Nicholas, et al.. (2024). Large-scale integrative analysis of juvenile idiopathic arthritis for new insight into its pathogenesis. Arthritis Research & Therapy. 26(1). 47–47. 3 indexed citations

Alqahtani, Saleh A., Duna Barakeh, Nitesh Kumar Sharma, et al.. (2023). The Genomic Landscape of Colorectal Cancer in the Saudi Arabian Population Using a Comprehensive Genomic Panel. Diagnostics. 13(18). 2993–2993. 3 indexed citations

Zhang, Jinyang, Harry Yang, Brunilda Balliu, et al.. (2023). RNA-seq data science: From raw data to effective interpretation. Frontiers in Genetics. 14. 59 indexed citations

10.

Oleksyk, Tarás K., et al.. (2022). The Pioneer Advantage: Filling the blank spots on the map of genome diversity in Europe. GigaScience. 11. 6 indexed citations

11.

Sarwal, Varuni, Jaqueline Brito, Serghei Mangul, & David Koslicki. (2022). TAMPA: interpretable analysis and visualization of metagenomics-based taxon abundance profiles. GigaScience. 12. 1 indexed citations

12.

Brito, Jaqueline, et al.. (2022). pyTCR: A comprehensive and scalable solution for TCR-Seq data analysis to facilitate reproducibility and rigor of immunogenomics research. Frontiers in Immunology. 13. 954078–954078. 2 indexed citations

13.

Knyazev, Sergey, Anupama Shankar, Alexander Artyomenko, et al.. (2021). Accurate assembly of minority viral haplotypes from next-generation sequencing through efficient noise reduction. Nucleic Acids Research. 49(17). e102–e102. 34 indexed citations

14.

Nadel, Brian B., David López, Dennis Montoya, et al.. (2021). The Gene Expression Deconvolution Interactive Tool (GEDIT): accurate cell type quantification from gene expression data. GigaScience. 10(2). 34 indexed citations

15.

Buono, Roberta, Jonathan Tucci, Novella Guidi, et al.. (2020). Fasting Mimicking Diet promotes immunotherapy-associated changes and inhibits autophagy to promote cancer free survival in Acute Lymphoblastic Leukemia models. The Journal of Immunology. 204(1_Supplement). 240.10–240.10. 1 indexed citations

16.

LaPierre, Nathan, Mohammed Alser, Eleazar Eskin, David Koslicki, & Serghei Mangul. (2020). Metalign: efficient alignment-based metagenomic profiling via containment min hash. Genome biology. 21(1). 242–242. 35 indexed citations

17.

Mangul, Serghei, Igor Mandric, Alex Zelikovsky, & Eleazar Eskin. (2018). Profiling adaptive immune repertoires across multiple human tissues by RNA Sequencing. 1 indexed citations

18.

Kim, Dongjae, et al.. (2018). Spatial Analysis of Single Fiber Cells of the Developing Ocular Lens Reveals Regulated Heterogeneity of Gene Expression. iScience. 10. 66–79. 13 indexed citations

19.

Mangul, Serghei, Lana S. Martin, Alexander Hoffmann, Matteo Pellegrini, & Eleazar Eskin. (2017). Addressing the Digital Divide in Contemporary Biology: Lessons from Teaching UNIX. Trends in biotechnology. 35(10). 901–903. 14 indexed citations

20.

Schokrpur, Shiruyeh, Junhui Hu, Diana Moughon, et al.. (2016). CRISPR-Mediated VHL Knockout Generates an Improved Model for Metastatic Renal Cell Carcinoma. Scientific Reports. 6(1). 29032–29032. 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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