Indrek Tulp

525 total citations
22 papers, 426 citations indexed

About

Indrek Tulp is a scholar working on Biomedical Engineering, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Indrek Tulp has authored 22 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Molecular Biology and 6 papers in Computational Theory and Mathematics. Recurrent topics in Indrek Tulp's work include Biosensors and Analytical Detection (8 papers), Computational Drug Discovery Methods (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Indrek Tulp is often cited by papers focused on Biosensors and Analytical Detection (8 papers), Computational Drug Discovery Methods (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Indrek Tulp collaborates with scholars based in Estonia, Sweden and United States. Indrek Tulp's co-authors include Ülo Langel, Dimitar A. Dobchev, Mati Karelson, Alan R. Katritzky, Imre Mäger, Made Laanpere, Kaido Tämm, Julia Suhorutšenko, Tarmo Tamm and Hiljar Sibul and has published in prestigious journals such as PLoS ONE, Sensors and BioMed Research International.

In The Last Decade

Indrek Tulp

22 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Indrek Tulp Estonia 12 189 135 71 70 42 22 426
Silvia Acosta‐Gutiérrez Italy 16 495 2.6× 174 1.3× 48 0.7× 28 0.4× 37 0.9× 29 1.0k
Jigneshkumar Dahyabhai Prajapati Germany 16 432 2.3× 266 2.0× 54 0.8× 11 0.2× 71 1.7× 28 816
Jacob Bobonis Germany 7 363 1.9× 52 0.4× 53 0.7× 40 0.6× 60 1.4× 8 628
Karunakar R. Pothula Germany 14 458 2.4× 83 0.6× 64 0.9× 11 0.2× 18 0.4× 21 692
Mohammad Nasir United States 11 135 0.7× 48 0.4× 23 0.3× 10 0.1× 15 0.4× 18 492
Jehangir Cama United Kingdom 16 338 1.8× 215 1.6× 94 1.3× 10 0.1× 16 0.4× 22 676
Paola Rondón-Villarreal Colombia 9 300 1.6× 35 0.3× 100 1.4× 57 0.8× 23 0.5× 24 421
Svetlana Dubiley Russia 17 460 2.4× 74 0.5× 80 1.1× 10 0.1× 11 0.3× 38 736
Christina Große Germany 10 152 0.8× 88 0.7× 30 0.4× 8 0.1× 20 0.5× 12 438
Julia Vergalli France 13 274 1.4× 72 0.5× 43 0.6× 8 0.1× 12 0.3× 24 751

Countries citing papers authored by Indrek Tulp

Since Specialization
Citations

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

Fields of papers citing papers by Indrek Tulp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Indrek Tulp

This figure shows the co-authorship network connecting the top 25 collaborators of Indrek Tulp. A scholar is included among the top collaborators of Indrek Tulp 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 Indrek Tulp. Indrek Tulp 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.
Párdy, Tamás, et al.. (2018). Instrument-free Lab-on-a-Chip DNA amplification test for pathogen detection. 1–4. 1 indexed citations
2.
Párdy, Tamás, Toomas Rang, & Indrek Tulp. (2018). Thermal Analysis of a Disposable, Instrument-Free DNA Amplification Lab-on-a-Chip Platform. Sensors. 18(6). 1812–1812. 5 indexed citations
3.
Párdy, Tamás, et al.. (2018). Microheating Solution for Molecular Diagnostics Devices. 1 indexed citations
4.
Párdy, Tamás, Toomas Rang, & Indrek Tulp. (2017). Development of Temperature Control Solutions for Non-Instrumented Nucleic Acid Amplification Tests (NINAAT). Micromachines. 8(6). 180–180. 10 indexed citations
5.
Andresen, Liis, et al.. (2017). Implementation of antimicrobial peptides for sample preparation prior to nucleic acid amplification in point-of-care settings. Expert Review of Molecular Diagnostics. 17(12). 1117–1125. 1 indexed citations
6.
Párdy, Tamás, et al.. (2017). Integrated self-regulating resistive heating for isothermal nucleic acid amplification tests (NAAT) in Lab-on-a-Chip (LoC) devices. PLoS ONE. 12(12). e0189968–e0189968. 14 indexed citations
7.
Tulp, Indrek, et al.. (2017). The effect of main urine inhibitors on the activity of different DNA polymerases in loop-mediated isothermal amplification. Expert Review of Molecular Diagnostics. 17(4). 403–410. 14 indexed citations
8.
Párdy, Tamás, Toomas Rang, & Indrek Tulp. (2016). Finite Element Modelling for the Optimization of Microheating in Disposable Molecular Diagnostics. International Journal of Computational Methods and Experimental Measurements. 5(1). 13–22. 4 indexed citations
9.
10.
Párdy, Tamás, Toomas Rang, & Indrek Tulp. (2015). Modelling and experimental characterisation of self-regulating resistive heating elements for disposable medical diagnostics devices. WIT transactions on engineering sciences. 1. 263–271. 3 indexed citations
11.
García‐Sosa, Alfonso T., Indrek Tulp, Kent Langel, & Ülo Langel. (2014). Peptide-Ligand Binding Modeling of siRNA with Cell-Penetrating Peptides. BioMed Research International. 2014. 1–7. 13 indexed citations
12.
Dobchev, Dimitar A., et al.. (2013). Subchronic Oral and Inhalation Toxicities: a Challenging Attempt for Modeling and Prediction. Molecular Informatics. 32(9-10). 793–801. 11 indexed citations
13.
Tudoran, Oana, Julia Suhorutšenko, Taavi Lehto, et al.. (2013). Sensitive and Rapid Detection of Chlamydia trachomatis by Recombinase Polymerase Amplification Directly from Urine Samples. Journal of Molecular Diagnostics. 16(1). 127–135. 116 indexed citations
14.
Dobchev, Dimitar A., Imre Mäger, Indrek Tulp, et al.. (2010). Prediction of Cell-Penetrating Peptides Using Artificial Neural Networks. Current Computer - Aided Drug Design. 6(2). 79–89. 57 indexed citations
15.
Tulp, Indrek, Dimitar A. Dobchev, Alan R. Katritzky, William E. Acree, & Uko Maran. (2010). A General Treatment of Solubility 4. Description and Analysis of a PCA Model for Ostwald Solubility Coefficients. Journal of Chemical Information and Modeling. 50(7). 1275–1283. 17 indexed citations
16.
Karelson, Mati, Tarmo Tamm, Indrek Tulp, et al.. (2009). QSAR study of pharmacological permeabilities. ARKIVOC. 2009(2). 218–238. 22 indexed citations
17.
Tulp, Indrek, Sulev Sild, & Uko Maran. (2009). Relationship Between Structure and Permeability in Artificial Membranes: Theoretical Whole Molecule Descriptors in Development of QSAR Models. QSAR & Combinatorial Science. 28(8). 811–814. 6 indexed citations
18.
Karelson, Mati, Dimitar A. Dobchev, Tarmo Tamm, et al.. (2008). Correlation of blood-brain penetration and human serum albumin binding with theoretical descriptors. ARKIVOC. 2008(16). 38–60. 12 indexed citations
19.
Katritzky, Alan R., Dimitar A. Dobchev, Indrek Tulp, Mati Karelson, & David A. Carlson. (2006). QSAR study of mosquito repellents using Codessa Pro. Bioorganic & Medicinal Chemistry Letters. 16(8). 2306–2311. 44 indexed citations
20.
Saal, Kristjan, Tanel Tätte, Indrek Tulp, et al.. (2006). Sol–gel films for DNA microarray applications. Materials Letters. 60(15). 1833–1838. 14 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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