Indrek Tulp

531 citations
24 papers · 449 · h-index 12

Impact in

Papers in

Indrek Tulp

24 papers receiving 442 citations

Peers

Indrek Tulp
Comparison fields: 5 of 79
  • Microbiology 64
  • Computational Theory and Mathematics 72
  • Biomedical Engineering 137
  • Filtration and Separation 6
  • Molecular Biology 186
Replace Jacob Bobonis with:
Jacob Bobonis Germany
Christina Große Germany
Ozden Kocaoglu United States
Abhijit Roychowdhury India
Thomas M. Anderson United States
Ramkumar Iyer United States
Silvia Acosta‐Gutiérrez Italy
Paola Rondón-Villarreal Colombia
Carlos Alessandro Fuzo Brazil
Mohammad Nasir United States
Indrek Tulp relative to Jacob Bobonis Germany Jacob Bobonis's profile →
Citations per field
00.5×6.2×
Jacob Bobonis · 1×
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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013119
2 201060
3 200645
4 200537
5 200922
6 201621
7 201017
8 200617
9 201415
10 201714
11 201714
12 200813
13 201311
14 201710
15 20096
16 20186
17 20165
18 20105
19 20164
20 20153

About Indrek Tulp

Indrek Tulp is a scholar working on Computational Theory and Mathematics, Biomedical Engineering, Molecular Biology, Spectroscopy and Materials Chemistry, having authored 24 papers that have together received 449 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Biosensors and Analytical Detection (7 papers), Analytical Chemistry and Chromatography (5 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), RNA Interference and Gene Delivery (2 papers), Advanced Biosensing Techniques and Applications (2 papers) and Gas Sensing Nanomaterials and Sensors (2 papers). The work is most often cited by research in Microbiology (64 citations), Computational Theory and Mathematics (72 citations), Biomedical Engineering (137 citations), Filtration and Separation (6 citations) and Molecular Biology (186 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, Alan R. Katritzky, Imre Mäger, Made Laanpere, Tamás Párdy, Toomas Rang, Uko Maran and Taavi Lehto. Their work appears in journals such as Expert Review of Molecular Diagnostics, Journal of Chemical Information and Modeling, Bioorganic & Medicinal Chemistry Letters, Sensors and Journal of Molecular Diagnostics.

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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