Indrek Tulp

22 papers receiving 420 citations

Peers

Indrek Tulp
Comparison fields: 5 of 77
  • Microbiology 71
  • Computational Theory and Mathematics 70
  • Biomedical Engineering 135
  • Filtration and Separation 6
  • Molecular Biology 189
Replace Jacob Bobonis with:
Jacob Bobonis Germany
Paola Rondón-Villarreal Colombia
Christina Große Germany
Jehangir Cama United Kingdom
Gerd Prehna United States
Ozden Kocaoglu United States
Silvia Acosta‐Gutiérrez Italy
Abhijit Roychowdhury India
Ramkumar Iyer United States
Damien Jefferies United Kingdom
Indrek Tulp relative to Jacob Bobonis Germany Jacob Bobonis's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Indrek Tulp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Indrek Tulp Line = papers co-authored together Indrek Tulp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013116
2 201057
3 200644
4 200535
5 200922
6 201621
7 201017
8 201714
9 200614
10 201714
11 201413
12 200812
13 201311
14 201710
15 20096
16 20185
17 20165
18 20164
19 20153
20 20171

About Indrek Tulp

Indrek Tulp is a scholar working on Microbiology, Filtration and Separation, Computational Theory and Mathematics, Spectroscopy and Bioengineering, having authored 22 papers that have together received 426 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (8 papers), Computational Drug Discovery Methods (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Analytical Chemistry and Chromatography (4 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers), Advanced Biosensing Techniques and Applications (3 papers), Advanced Chemical Sensor Technologies (2 papers) and Bacterial Identification and Susceptibility Testing (2 papers). The work is most often cited by research in Microbiology (71 citations), Computational Theory and Mathematics (70 citations), Biomedical Engineering (135 citations), Filtration and Separation (6 citations) and Molecular Biology (189 citations). Indrek Tulp has collaborated with scholars based in Estonia, Sweden and United States. Frequent co-authors include Ülo Langel, Dimitar A. Dobchev, Mati Karelson, Imre Mäger, Alan R. Katritzky, Made Laanpere, Toomas Rang, Hiljar Sibul, Julia Suhorutšenko and Tamás Párdy. Their work appears in journals such as Expert Review of Molecular Diagnostics, Journal of Chemical Information and Modeling, PLoS ONE, Bioorganic & Medicinal Chemistry Letters and BioMed Research International.

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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