Aleksey Porollo

4.5k total citations
73 papers, 3.3k citations indexed

About

Aleksey Porollo is a scholar working on Molecular Biology, Epidemiology and Materials Chemistry. According to data from OpenAlex, Aleksey Porollo has authored 73 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 16 papers in Epidemiology and 11 papers in Materials Chemistry. Recurrent topics in Aleksey Porollo's work include Pneumocystis jirovecii pneumonia detection and treatment (13 papers), Protein Structure and Dynamics (12 papers) and Genomics and Phylogenetic Studies (7 papers). Aleksey Porollo is often cited by papers focused on Pneumocystis jirovecii pneumonia detection and treatment (13 papers), Protein Structure and Dynamics (12 papers) and Genomics and Phylogenetic Studies (7 papers). Aleksey Porollo collaborates with scholars based in United States, Poland and Russia. Aleksey Porollo's co-authors include Jarek Meller, Rafał Adamczak, Ángeles Durán, Julio A. Landero Figueroa, María T. Díaz‐Meco, Jorge Moscat, Kavitha Subramanian Vignesh, George S. Deepe, Joseph A. Caruso and Jayashree Joshi and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Aleksey Porollo

70 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aleksey Porollo United States 30 1.9k 574 294 263 261 73 3.3k
Andrew R. Pitt United Kingdom 37 2.6k 1.4× 277 0.5× 327 1.1× 113 0.4× 186 0.7× 137 4.6k
Angelo Facchiano Italy 36 1.7k 0.9× 284 0.5× 644 2.2× 165 0.6× 213 0.8× 166 3.6k
Zhi‐Xiong Jim Xiao China 33 2.4k 1.3× 344 0.6× 336 1.1× 172 0.7× 95 0.4× 105 4.1k
Rosalind E. Jenkins United Kingdom 41 2.1k 1.1× 684 1.2× 617 2.1× 262 1.0× 69 0.3× 103 5.1k
Yaron Turpaz United States 14 2.1k 1.1× 224 0.4× 261 0.9× 228 0.9× 217 0.8× 20 3.5k
Renu Tuteja India 39 3.6k 1.9× 281 0.5× 345 1.2× 323 1.2× 88 0.3× 152 5.5k
Teck Kwang Lim Singapore 28 1.2k 0.6× 292 0.5× 265 0.9× 216 0.8× 75 0.3× 78 2.5k
Jan Wildenhain United Kingdom 18 2.5k 1.3× 254 0.4× 97 0.3× 247 0.9× 57 0.2× 24 3.7k
Jeng‐Sen Tseng Taiwan 15 1.2k 0.6× 165 0.3× 111 0.4× 145 0.6× 216 0.8× 64 2.3k
David R. McIlwain United States 19 2.2k 1.1× 335 0.6× 766 2.6× 167 0.6× 72 0.3× 32 3.9k

Countries citing papers authored by Aleksey Porollo

Since Specialization
Citations

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

Fields of papers citing papers by Aleksey Porollo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksey Porollo

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

All Works

20 of 20 papers shown
1.
Ashbaugh, Alan, et al.. (2024). Pneumocystis murina promotes inflammasome formation and NETosis during Pneumocystis pneumonia. mBio. 15(8). e0140924–e0140924. 4 indexed citations
2.
Joshi, Rashika, Qiang Fan, Aleksey Porollo, et al.. (2024). Anti-CELA1 antibody KF4 prevents emphysema by inhibiting stretch-mediated remodeling. JCI Insight. 9(1).
3.
Porollo, Aleksey, et al.. (2024). Insights into copper sensing and tolerance in Pneumocystis species. Frontiers in Microbiology. 15. 1383737–1383737.
4.
Ashbaugh, Alan, et al.. (2022). The Effects of Sex and Strain on Pneumocystis murina Fungal Burdens in Mice. Journal of Fungi. 8(10). 1101–1101. 1 indexed citations
5.
Brusilovsky, Michael, Mark Rochman, Yrina Rochman, et al.. (2021). Environmental allergens trigger type 2 inflammation through ripoptosome activation. Nature Immunology. 22(10). 1316–1326. 49 indexed citations
6.
Pradhan, Arun, Andrew Dunn, Vladimir Ustiyan, et al.. (2019). The S52F FOXF1 Mutation Inhibits STAT3 Signaling and Causes Alveolar Capillary Dysplasia. American Journal of Respiratory and Critical Care Medicine. 200(8). 1045–1056. 55 indexed citations
7.
Assad, Nima, et al.. (2019). The bZIP mutant CEBPB (V285A) has sequence specific DNA binding propensities similar to CREB1. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1862(4). 486–492. 4 indexed citations
8.
9.
Litosh, Vladislav A., Mark Rochman, Jeffrey K. Rymer, et al.. (2017). Calpain-14 and its association with eosinophilic esophagitis. Journal of Allergy and Clinical Immunology. 139(6). 1762–1771.e7. 75 indexed citations
10.
Taft, Diana H., et al.. (2017). A fast and robust protocol for metataxonomic analysis using RNAseq data. Microbiome. 5(1). 7–7. 18 indexed citations
11.
Vignesh, Kavitha Subramanian, Julio A. Landero Figueroa, Aleksey Porollo, et al.. (2016). IL-4 Induces Metallothionein 3- and SLC30A4-Dependent Increase in Intracellular Zn2+ that Promotes Pathogen Persistence in Macrophages. Cell Reports. 16(12). 3232–3246. 36 indexed citations
12.
13.
Porollo, Aleksey. (2014). EC2KEGG: a command line tool for comparison of metabolic pathways. PubMed. 9(1). 19–19. 15 indexed citations
14.
Porollo, Aleksey, et al.. (2014). MutaCYP: Classification of missense mutations in human cytochromes P450. BMC Medical Genomics. 7(1). 47–47. 6 indexed citations
15.
Vignesh, Kavitha Subramanian, Julio A. Landero Figueroa, Aleksey Porollo, Joseph A. Caruso, & George S. Deepe. (2013). Granulocyte Macrophage-Colony Stimulating Factor Induced Zn Sequestration Enhances Macrophage Superoxide and Limits Intracellular Pathogen Survival. Immunity. 39(4). 697–710. 178 indexed citations
16.
Orsborn, Kris I., Minlu Zhang, Kenneth D. Greis, et al.. (2013). Heparin-Binding Motifs and Biofilm Formation by Candida albicans. The Journal of Infectious Diseases. 208(10). 1695–1704. 30 indexed citations
17.
Hu, Pan, Xin Chen, Eric T. Boder, et al.. (2012). Effects of Parabens on Adipocyte Differentiation. Toxicological Sciences. 131(1). 56–70. 152 indexed citations
18.
Porollo, Aleksey, et al.. (2012). Analysis of Current Antifungal Agents and Their Targets within the Pneumocystis carinii Genome. Current Drug Targets. 13(12). 1575–1585. 19 indexed citations
19.
Giridhar, Premkumar Vummidi, Catherine A. Gallo, Aleksey Porollo, et al.. (2011). Interleukin-6 receptor enhances early colonization of the murine omentum by upregulation of a mannose family receptor, LY75, in ovarian tumor cells. Clinical & Experimental Metastasis. 28(8). 887–897. 12 indexed citations
20.
Porollo, Aleksey & Jarek Meller. (2010). POLYVIEW-MM: web-based platform for animation and analysis of molecular simulations. Nucleic Acids Research. 38(Web Server). W662–W666. 25 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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