Pınar Pir

3.1k total citations · 1 hit paper
37 papers, 1.8k citations indexed

About

Pınar Pir is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Pınar Pir has authored 37 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 6 papers in Biomedical Engineering and 4 papers in Genetics. Recurrent topics in Pınar Pir's work include Microbial Metabolic Engineering and Bioproduction (14 papers), Fungal and yeast genetics research (11 papers) and Bioinformatics and Genomic Networks (10 papers). Pınar Pir is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (14 papers), Fungal and yeast genetics research (11 papers) and Bioinformatics and Genomic Networks (10 papers). Pınar Pir collaborates with scholars based in United Kingdom, Türkiye and United States. Pınar Pir's co-authors include Stephen G. Oliver, Douglas B. Kell, Ross D. King, Gülben Avşar, Neil Swainston, Silvestro G. Conticello, P Groza, Antonia Romitelli, Francesca Aguiló and Erik Dassi and has published in prestigious journals such as Science, Nucleic Acids Research and Nature Biotechnology.

In The Last Decade

Pınar Pir

36 papers receiving 1.8k 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.

MODOMICS: a database of RNA modification pathways. 2021 update

2021 550 citations Pietro Boccaletto, Filip Stefaniak et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pınar Pir United Kingdom	18	1.4k	260	223	104	97	37	1.8k
Xiao‐Jiang Feng United States	17	1.2k 0.8×	253 1.0×	200 0.9×	40 0.4×	162 1.7×	33	2.0k
Huiqing Liu China	14	1.1k 0.8×	223 0.9×	129 0.6×	174 1.7×	60 0.6×	29	1.5k
Shuhui Liu China	24	976 0.7×	101 0.4×	159 0.7×	179 1.7×	134 1.4×	104	2.2k
Dong Deng China	16	1.4k 1.0×	213 0.8×	138 0.6×	107 1.0×	186 1.9×	42	2.3k
Hiroyuki Kurata Japan	31	2.2k 1.6×	88 0.3×	219 1.0×	87 0.8×	192 2.0×	163	3.0k
Akira Funahashi Japan	19	2.0k 1.4×	142 0.5×	173 0.8×	69 0.7×	146 1.5×	72	2.9k
Menglong Li China	23	2.1k 1.5×	195 0.8×	105 0.5×	87 0.8×	76 0.8×	162	2.5k
Athanasia Pavlopoulou Greece	22	946 0.7×	270 1.0×	174 0.8×	56 0.5×	86 0.9×	75	1.9k
B. F. Francis Ouellette Canada	23	2.1k 1.5×	160 0.6×	87 0.4×	159 1.5×	237 2.4×	57	2.7k

Countries citing papers authored by Pınar Pir

Since Specialization

Citations

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

Fields of papers citing papers by Pınar Pir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pınar Pir

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

Avşar, Gülben, et al.. (2024). Optimized network based natural language processing approach to reveal disease comorbidities in COVID-19. Scientific Reports. 14(1). 2325–2325. 1 indexed citations

Avşar, Gülben & Pınar Pir. (2023). An integrated study to decipher immunosuppressive cellular communication in the PDAC environment. npj Systems Biology and Applications. 9(1). 56–56. 7 indexed citations

Pir, Pınar, et al.. (2023). Machine learning based bioinformatics analysis of intron usage alterations and metabolic regulation in adipose browning. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 31(7). 1314–1328.

Avşar, Gülben & Pınar Pir. (2022). A comparative performance evaluation of imputation methods in spatially resolved transcriptomics data. Molecular Omics. 19(2). 162–173. 5 indexed citations

Boccaletto, Pietro, Filip Stefaniak, Angana Ray, et al.. (2021). MODOMICS: a database of RNA modification pathways. 2021 update. Nucleic Acids Research. 50(D1). D231–D235. 550 indexed citations breakdown →

Çakır, Batuhan, Martin Prete, Ni Huang, et al.. (2020). Comparison of visualization tools for single-cell RNAseq data. NAR Genomics and Bioinformatics. 2(3). lqaa052–lqaa052. 35 indexed citations

Pir, Pınar, et al.. (2020). Integration of transcriptomic profile of SARS-CoV-2 infected normal human bronchial epi-thelial cells with metabolic and protein-protein interaction networks. TURKISH JOURNAL OF BIOLOGY. 44(3). 168–177. 9 indexed citations

Destefanis, Eliana, Gülben Avşar, P Groza, et al.. (2020). A mark of disease: how mRNA modifications shape genetic and acquired pathologies. RNA. 27(4). 367–389. 26 indexed citations

Çakır, Tunahan, et al.. (2019). Next-Generation Genome-Scale Models Incorporating Multilevel ‘Omics Data: From Yeast to Human. Methods in molecular biology. 2049. 347–363. 1 indexed citations

10.

Pir, Pınar & Nicolas Le Novère. (2015). Mathematical Models of Pluripotent Stem Cells: At the Dawn of Predictive Regenerative Medicine. Methods in molecular biology. 1386. 331–350. 14 indexed citations

11.

Kell, Douglas B., Neil Swainston, Pınar Pir, & Stephen G. Oliver. (2015). Membrane transporter engineering in industrial biotechnology and whole cell biocatalysis. Trends in biotechnology. 33(4). 237–246. 149 indexed citations

12.

Dikicioǧlu, Duygu, Bharat Rash, Warwick B. Dunn, et al.. (2013). Yeast cells with impaired drug resistance accumulate glycerol and glucose. Molecular BioSystems. 10(1). 93–102. 10 indexed citations

13.

Alcasabas, Annette A., et al.. (2013). Control analysis of the eukaryotic cell cycle using gene copy-number series in yeast tetraploids. BMC Genomics. 14(1). 744–744. 3 indexed citations

14.

Dikicioǧlu, Duygu, Pınar Pir, & Stephen G. Oliver. (2013). Predicting complex phenotype–genotype interactions to enable yeast engineering: Saccharomyces cerevisiae as a model organism and a cell factory. Biotechnology Journal. 8(9). 1017–1034. 14 indexed citations

15.

Mülleder, Michael, Floriana Capuano, Pınar Pir, et al.. (2012). A prototrophic deletion mutant collection for yeast metabolomics and systems biology. Nature Biotechnology. 30(12). 1176–1178. 83 indexed citations

16.

Carroll, Kathleen, Deborah M. Simpson, Claire E. Eyers, et al.. (2011). Absolute Quantification of the Glycolytic Pathway in Yeast:. Molecular & Cellular Proteomics. 10(12). M111.007633–M111.007633. 67 indexed citations

17.

Bilsland, Elizabeth, et al.. (2011). Functional Expression of Parasite Drug Targets and Their Human Orthologs in Yeast. PLoS neglected tropical diseases. 5(10). e1320–e1320. 25 indexed citations

18.

Gutteridge, Alex, Pınar Pir, Juan I. Castrillo, et al.. (2010). Nutrient control of eukaryote cell growth: a systems biology study in yeast. BMC Biology. 8(1). 68–68. 56 indexed citations

19.

Dobson, Paul D., Kieran Smallbone, Daniel Jameson, et al.. (2010). Further developments towards a genome-scale metabolic model of yeast. BMC Systems Biology. 4(1). 145–145. 82 indexed citations

20.

Pir, Pınar, Betül Kırdar, Andrew Hayes, et al.. (2008). Exometabolic and transcriptional response in relation to phenotype and gene copy number in respiration‐related deletion mutants of S. cerevisiae. Yeast. 25(9). 661–672. 6 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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