Alberto Pessia

3.3k total citations · 1 hit paper
22 papers, 1.7k citations indexed

About

Alberto Pessia is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Alberto Pessia has authored 22 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Cell Biology. Recurrent topics in Alberto Pessia's work include Mitochondrial Function and Pathology (4 papers), Computational Drug Discovery Methods (3 papers) and Bioinformatics and Genomic Networks (3 papers). Alberto Pessia is often cited by papers focused on Mitochondrial Function and Pathology (4 papers), Computational Drug Discovery Methods (3 papers) and Bioinformatics and Genomic Networks (3 papers). Alberto Pessia collaborates with scholars based in Finland, Germany and United States. Alberto Pessia's co-authors include Vidya Velagapudi, Jing Tang, Alina Malyutina, Wenyu Wang, Ziaurrehman Tanoli, Jehad Aldahdooh, Shuyu Zheng, Tolou Shadbahr, Anu Suomalainen and Nahid Khan and has published in prestigious journals such as Cell, Nucleic Acids Research and The Journal of Cell Biology.

In The Last Decade

Alberto Pessia

22 papers receiving 1.7k 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.

SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets

2022 320 citations Shuyu Zheng, Wenyu Wang et al. Genomics Proteomics & Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alberto Pessia Finland	15	1.1k	227	217	197	165	22	1.7k
Brett Lomenick United States	13	1.3k 1.2×	194 0.9×	91 0.4×	204 1.0×	167 1.0×	27	1.9k
François Pognan Switzerland	18	1.1k 1.0×	179 0.8×	159 0.7×	207 1.1×	132 0.8×	32	1.9k
Lisa D. Marroquin United States	12	1.0k 0.9×	188 0.8×	129 0.6×	74 0.4×	112 0.7×	19	1.6k
Mariam Aghajan United States	21	1.7k 1.5×	260 1.1×	225 1.0×	115 0.6×	496 3.0×	41	2.9k
Kai‐Yao Huang Taiwan	24	1.2k 1.1×	174 0.8×	80 0.4×	57 0.3×	125 0.8×	49	1.7k
Deepak K. Rajpal United States	22	1.2k 1.1×	253 1.1×	305 1.4×	327 1.7×	190 1.2×	44	2.0k
Ahmed Chadli United States	21	1.4k 1.3×	282 1.2×	133 0.6×	185 0.9×	58 0.4×	44	2.1k
Li-An Yeh United States	22	1.4k 1.3×	387 1.7×	279 1.3×	62 0.3×	117 0.7×	38	2.0k
Takushi Namba Japan	26	1.1k 0.9×	233 1.0×	239 1.1×	47 0.2×	294 1.8×	53	2.1k
Rilei Yu China	25	1.6k 1.5×	159 0.7×	198 0.9×	139 0.7×	181 1.1×	128	2.4k

Countries citing papers authored by Alberto Pessia

Since Specialization

Citations

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

Fields of papers citing papers by Alberto Pessia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Pessia

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

1.

Malyutina, Alina, Jing Tang, & Alberto Pessia. (2023). drda: An R Package for Dose-Response Data Analysis Using Logistic Functions. Journal of Statistical Software. 106(4). 10 indexed citations

2.

Zheng, Shuyu, Wenyu Wang, Jehad Aldahdooh, et al.. (2022). SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets. Genomics Proteomics & Bioinformatics. 20(3). 587–596. 320 indexed citations breakdown →

3.

Fischer, Julia, Raja Ganesan, Nina Judith Hos, et al.. (2021). Salmonella Typhimurium impairs glycolysis-mediated acidification of phagosomes to evade macrophage defense. PLoS Pathogens. 17(9). e1009943–e1009943. 20 indexed citations

4.

Pessia, Alberto, Shuyu Zheng, Matti Kankainen, et al.. (2021). Vascular adhesion protein-1 defines a unique subpopulation of human hematopoietic stem cells and regulates their proliferation. Cellular and Molecular Life Sciences. 78(23). 7851–7872. 1 indexed citations

5.

Pessia, Alberto, Akira Takeda, Matti Kankainen, et al.. (2020). CD73 contributes to anti‐inflammatory properties of afferent lymphatic endothelial cells in humans and mice. European Journal of Immunology. 51(1). 231–246. 14 indexed citations

6.

Pirinen, Eija, Mari Auranen, Nahid Khan, et al.. (2020). Niacin Cures Systemic NAD+ Deficiency and Improves Muscle Performance in Adult-Onset Mitochondrial Myopathy. Cell Metabolism. 31(6). 1078–1090.e5. 176 indexed citations

7.

Pirinen, Eija, Mari Auranen, Nahid Khan, et al.. (2020). Niacin Cures Systemic NAD+ Deficiency and Improves Muscle Performance in Adult-Onset Mitochondrial Myopathy. Cell Metabolism. 32(1). 144–144. 25 indexed citations

8.

Fischer, Julia, Raja Ganesan, Gökhan Cildir, et al.. (2020). S. Typhimurium Impairs Glycolysis-Mediated Acidification of Phagosomes to Evade Macrophage Defense. SSRN Electronic Journal. 1 indexed citations

9.

Zagidullin, Bulat, Jehad Aldahdooh, Shuyu Zheng, et al.. (2019). DrugComb: an integrative cancer drug combination data portal. Nucleic Acids Research. 47(W1). W43–W51. 157 indexed citations

10.

Gaiser, Rogier, Alberto Pessia, Zeeshan Ateeb, et al.. (2019). Integrated targeted metabolomic and lipidomic analysis: A novel approach to classifying early cystic precursors to invasive pancreatic cancer. Scientific Reports. 9(1). 10208–10208. 27 indexed citations

11.

Wang, Wenyu, Alina Malyutina, Alberto Pessia, et al.. (2019). Combined gene essentiality scoring improves the prediction of cancer dependency maps. EBioMedicine. 50. 67–80. 15 indexed citations

12.

Malyutina, Alina, Muntasir Mamun Majumder, Wenyu Wang, et al.. (2019). Drug combination sensitivity scoring facilitates the discovery of synergistic and efficacious drug combinations in cancer. PLoS Computational Biology. 15(5). e1006752–e1006752. 125 indexed citations

13.

Méric, Guillaume, Alan McNally, Alberto Pessia, et al.. (2018). Convergent Amino Acid Signatures in Polyphyletic Campylobacter jejuni Subpopulations Suggest Human Niche Tropism. Genome Biology and Evolution. 10(3). 763–774. 9 indexed citations

14.

Nandania, Jatin, Peddinti Gopalacharyulu, Alberto Pessia, Meri Kokkonen, & Vidya Velagapudi. (2018). Validation and Automation of a High-Throughput Multitargeted Method for Semiquantification of Endogenous Metabolites from Different Biological Matrices Using Tandem Mass Spectrometry. Metabolites. 8(3). 44–44. 23 indexed citations

15.

Schatton, Désirée, David Pla‐Martín, Arnaud Mourier, et al.. (2017). CLUH regulates mitochondrial metabolism by controlling translation and decay of target mRNAs. The Journal of Cell Biology. 216(3). 675–693. 68 indexed citations

16.

Khan, Nahid, Joni Nikkanen, Shuichi Yatsuga, et al.. (2017). mTORC1 Regulates Mitochondrial Integrated Stress Response and Mitochondrial Myopathy Progression. Cell Metabolism. 26(2). 419–428.e5. 280 indexed citations

17.

Jokinen, Riikka, Rita Rinnankoski‐Tuikka, Sanna Kaye, et al.. (2017). Adipose tissue mitochondrial capacity associates with long-term weight loss success. International Journal of Obesity. 42(4). 817–825. 22 indexed citations

18.

Scott, Timothy A., Leonor M. Quintaneiro, Povilas Norvaišas, et al.. (2017). Host-Microbe Co-metabolism Dictates Cancer Drug Efficacy in C. elegans. Cell. 169(3). 442–456.e18. 189 indexed citations

19.

Kolho, Kaija‐Leena, Alberto Pessia, Tytti Jaakkola, Willem M. de Vos, & Vidya Velagapudi. (2016). Faecal and serum metabolomics in paediatric inflammatory bowel disease. Journal of Crohn s and Colitis. 11(3). jjw158–jjw158. 148 indexed citations

20.

Pessia, Alberto, Yonatan H. Grad, Sarah Cobey, J. Santeri Puranen, & Jukka Corander. (2015). K-Pax2: Bayesian identification of cluster-defining amino acid positions in large sequence datasets. Microbial Genomics. 1(1). e000025–e000025. 12 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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