Mirkó Palla

436 total citations
11 papers, 172 citations indexed

About

Mirkó Palla is a scholar working on Molecular Biology, Biomedical Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Mirkó Palla has authored 11 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Biomedical Engineering and 3 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Mirkó Palla's work include Biosensors and Analytical Detection (7 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Gold and Silver Nanoparticles Synthesis and Applications (3 papers). Mirkó Palla is often cited by papers focused on Biosensors and Analytical Detection (7 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Gold and Silver Nanoparticles Synthesis and Applications (3 papers). Mirkó Palla collaborates with scholars based in United States, Italy and Denmark. Mirkó Palla's co-authors include Jingyue Ju, Qiao Lin, Tomas Rindzevicius, Filippo Bosco, Anja Boisen, Michael Schmidt, Tommy Sonne Alstrøm, Jing Zhu, Jung‐Chi Liao and Ronald J. Wapner and has published in prestigious journals such as ACS Nano, RSC Advances and Journal of Physics Condensed Matter.

In The Last Decade

Mirkó Palla

11 papers receiving 168 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mirkó Palla United States 5 100 98 88 34 32 11 172
Lam Bang Thanh Nguyen Singapore 6 84 0.8× 75 0.8× 63 0.7× 54 1.6× 48 1.5× 10 186
Reshma Beeram India 8 142 1.4× 147 1.5× 70 0.8× 54 1.6× 58 1.8× 14 240
Emily Xi Tan Singapore 9 104 1.0× 102 1.0× 65 0.7× 62 1.8× 79 2.5× 20 240
Brianna M. Leonardo United States 3 63 0.6× 44 0.4× 56 0.6× 9 0.3× 13 0.4× 4 87
Graham J. Worsley United Kingdom 8 98 1.0× 20 0.2× 90 1.0× 22 0.6× 7 0.2× 8 169
Keisaku Hamada Japan 5 84 0.8× 105 1.1× 115 1.3× 13 0.4× 261 8.2× 6 313
Kisalaya Chakrabarti India 8 206 2.1× 45 0.5× 127 1.4× 15 0.4× 6 0.2× 16 304
Rafael Nadas Brazil 5 36 0.4× 31 0.3× 7 0.1× 75 2.2× 22 0.7× 19 125
Anil K. Yadav India 8 27 0.3× 125 1.3× 15 0.2× 46 1.4× 1 0.0× 28 183
Chongyun Jiang China 4 23 0.2× 20 0.2× 38 0.4× 25 0.7× 4 0.1× 7 60

Countries citing papers authored by Mirkó Palla

Since Specialization
Citations

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

Fields of papers citing papers by Mirkó Palla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirkó Palla

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

All Works

11 of 11 papers shown
1.
Palla, Mirkó, Shiv Kumar, Zengmin Li, et al.. (2016). Click chemistry based biomolecular conjugation monitoring using surface-enhanced Raman spectroscopy mapping. 1–3. 1 indexed citations
2.
Palla, Mirkó, Filippo Bosco, Tomas Rindzevicius, et al.. (2015). Mathematical model for biomolecular quantification using large-area surface-enhanced Raman spectroscopy mapping. RSC Advances. 5(104). 85845–85853. 9 indexed citations
3.
Palla, Mirkó. (2014). Novel Engineering Approaches for DNA Sequencing and Analysis. Columbia Academic Commons (Columbia University). 1 indexed citations
4.
Palla, Mirkó, Wenjing Guo, Shundi Shi, et al.. (2014). DNA sequencing by synthesis using 3′-O-azidomethyl nucleotide reversible terminators and surface-enhanced Raman spectroscopic detection. RSC Advances. 4(90). 49342–49346. 5 indexed citations
5.
Zhu, Jing, et al.. (2013). A microfluidic device for multiplex single-nucleotide polymorphism genotyping. RSC Advances. 4(9). 4269–4277. 6 indexed citations
6.
Zhang, Yuan, et al.. (2013). Identification of unique interactions between the flexible linker and the RecA-like domains of DEAD-box helicase Mss116. Journal of Physics Condensed Matter. 25(37). 374101–374101. 4 indexed citations
7.
Palla, Mirkó, Filippo Bosco, Tomas Rindzevicius, et al.. (2013). Surface-Enhanced Raman Spectroscopy Based Quantitative Bioassay on Aptamer-Functionalized Nanopillars Using Large-Area Raman Mapping. ACS Nano. 7(6). 5350–5359. 129 indexed citations
8.
Palla, Mirkó, Filippo Bosco, Michael Schmidt, et al.. (2013). A microfluidic surface enhanced Raman spectroscopic biosensor using aptamer functionalized nanopillars. 1799–1802. 3 indexed citations
9.
Palla, Mirkó, et al.. (2012). Mechanism of flexibility control for ATP access of hepatitis C virus NS3 helicase. Journal of Biomolecular Structure and Dynamics. 31(2). 129–141. 3 indexed citations
10.
Zhu, Jing, et al.. (2012). A MEMS-based approach to single nucleotide polymorphism genotyping. Sensors and Actuators A Physical. 195. 175–182. 9 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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