Natascha Techen

1.5k total citations
50 papers, 1.1k citations indexed

About

Natascha Techen is a scholar working on Molecular Biology, Plant Science and Food Science. According to data from OpenAlex, Natascha Techen has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 19 papers in Plant Science and 14 papers in Food Science. Recurrent topics in Natascha Techen's work include Essential Oils and Antimicrobial Activity (10 papers), Identification and Quantification in Food (8 papers) and Plant Pathogens and Fungal Diseases (8 papers). Natascha Techen is often cited by papers focused on Essential Oils and Antimicrobial Activity (10 papers), Identification and Quantification in Food (8 papers) and Plant Pathogens and Fungal Diseases (8 papers). Natascha Techen collaborates with scholars based in United States, Brazil and Saudi Arabia. Natascha Techen's co-authors include Ikhlas A. Khan, Iffat Parveen, Zhiqiang Pan, Suman Chandra, Hemant Lata, Mahmoud A. ElSohly, Brian E. Scheffler, Stefan Gafner, Susan J. Murch and Sara L. Crockett and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Molecules.

In The Last Decade

Natascha Techen

43 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natascha Techen United States 17 626 440 185 183 157 50 1.1k
Baozhong Duan China 16 613 1.0× 371 0.8× 137 0.7× 152 0.8× 138 0.9× 74 1.0k
Baosheng Liao China 19 1.0k 1.6× 485 1.1× 202 1.1× 193 1.1× 97 0.6× 56 1.3k
Phalisteen Sultan India 15 359 0.6× 329 0.7× 63 0.3× 322 1.8× 71 0.5× 48 911
Ying Fu China 10 520 0.8× 721 1.6× 99 0.5× 97 0.5× 258 1.6× 16 1.1k
Yukun Wei China 15 602 1.0× 278 0.6× 111 0.6× 217 1.2× 71 0.5× 51 945
Sumita Jha India 21 1.3k 2.0× 1.0k 2.3× 323 1.7× 108 0.6× 125 0.8× 115 1.7k
Kosmas Haralampidis Greece 18 1.0k 1.6× 890 2.0× 66 0.4× 85 0.5× 74 0.5× 45 1.6k
Jai‐Heon Lee South Korea 24 769 1.2× 789 1.8× 78 0.4× 92 0.5× 104 0.7× 75 1.4k
Hexin Tan China 21 1.5k 2.3× 970 2.2× 119 0.6× 113 0.6× 55 0.4× 38 1.7k
A. K. Kukreja India 20 678 1.1× 726 1.6× 103 0.6× 100 0.5× 267 1.7× 120 1.1k

Countries citing papers authored by Natascha Techen

Since Specialization
Citations

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

Fields of papers citing papers by Natascha Techen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natascha Techen

This figure shows the co-authorship network connecting the top 25 collaborators of Natascha Techen. A scholar is included among the top collaborators of Natascha Techen 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 Natascha Techen. Natascha Techen 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.
Marney, Luke, Liping Yang, Jaewoo Choi, et al.. (2025). Clustering of chemical profiles of Centella asiatica cultivars, grown in greenhouses, allows grouping of metabolites with similar production trends. Industrial Crops and Products. 231. 121159–121159.
2.
Meepagala, Kumudini M., et al.. (2024). Pantoea ananatis , a plant growth stimulating bacterium, and its metabolites isolated from Hydrocotyle umbellata (dollarweed). Plant Signaling & Behavior. 19(1). 2331894–2331894. 2 indexed citations
3.
4.
Gray, Nora E., Jonathan A. Zweig, Natascha Techen, et al.. (2024). Centella asiatica and its caffeoylquinic acid and triterpene constituents increase dendritic arborization of mouse primary hippocampal neurons and improve age-related locomotion deficits in Drosophila. SHILAP Revista de lepidopterología. 5. 1374905–1374905. 2 indexed citations
5.
6.
Techen, Natascha, Khaled N. M. Elsayed, Ehab Essawy, et al.. (2023). Applying an internal transcribed spacer as a single molecular marker to differentiate between Tetraselmis and Chlorella species. Frontiers in Microbiology. 14. 1228869–1228869. 4 indexed citations
7.
Parveen, Iffat, Natascha Techen, Sara M. Handy, et al.. (2021). The Low Copy Nuclear Gene Region, Granule Bound Starch Synthase (GBSS1), as a Novel Mini-DNA Barcode for the Identification of Different Sage (Salvia) Species. Planta Medica. 88(12). 985–993. 4 indexed citations
8.
Avula, Bharathi, Iffat Parveen, Jianping Zhao, et al.. (2021). A Comprehensive Workflow for the Analysis of Bio-Macromolecular Supplements: Case Study of 20 Whey Protein Products. Journal of Dietary Supplements. 19(4). 515–533. 3 indexed citations
9.
Parveen, Iffat, et al.. (2018). Molecular marker to distinguish between Matricaria recutita and Anthemis nobilis.. 23(2). 79–83.
10.
Gafner, Stefan, et al.. (2018). Challenges in Determining Species Identity of Medicinal Plants: the Case of Euphrasia. Planta Medica International Open. 1 indexed citations
11.
Chandra, Sheela, et al.. (2016). Genetic Fidelity Of Stevia Rebaudiana Bertoni Plants Grown From Synthetic Seeds Following In Vitro Storage. Planta Medica. 82(5). 1 indexed citations
12.
Parveen, Iffat, Stefan Gafner, Natascha Techen, Susan J. Murch, & Ikhlas A. Khan. (2016). DNA Barcoding for the Identification of Botanicals in Herbal Medicine and Dietary Supplements: Strengths and Limitations. Planta Medica. 82(14). 1225–1235. 136 indexed citations
13.
Parveen, Iffat, Mei Wang, Jianping Zhao, et al.. (2015). Investigating sesquiterpene biosynthesis in Ginkgo biloba: molecular cloning and functional characterization of (E,E)-farnesol and α-bisabolene synthases. Plant Molecular Biology. 89(4-5). 451–462. 18 indexed citations
14.
Techen, Natascha, Iffat Parveen, Zhiqiang Pan, & Ikhlas A. Khan. (2013). DNA barcoding of medicinal plant material for identification. Current Opinion in Biotechnology. 25. 103–110. 243 indexed citations
15.
Lata, Hemant, Suman Chandra, Natascha Techen, Ikhlas A. Khan, & Mahmoud A. ElSohly. (2011). Molecular analysis of genetic fidelity in Cannabis sativa L. plants grown from synthetic (encapsulated) seeds following in vitro storage. Biotechnology Letters. 33(12). 2503–2508. 44 indexed citations
16.
Li, Ming, Pang‐Chui Shaw, Ling Cheng, et al.. (2010). Cardiocrinum seeds as a replacement for Aristolochia fruits in treating cough. Journal of Ethnopharmacology. 130(2). 429–432. 18 indexed citations
17.
Zhao, Jianping, Bharathi Avula, Vaishali Joshi, et al.. (2010). NMR Fingerprinting for Analysis ofHoodiaSpecies andHoodiaDietary Products. Planta Medica. 77(8). 851–857. 15 indexed citations
18.
Techen, Natascha, Renée S. Arias, Neil C. Glynn, et al.. (2009). Optimized construction of microsatellite‐enriched libraries. Molecular Ecology Resources. 10(3). 508–515. 32 indexed citations
19.
Techen, Natascha, et al.. (2006). The Use of Polymerase Chain Reaction (PCR) for the Identification ofEphedraDNA in Dietary Supplements. Planta Medica. 72(3). 241–247. 15 indexed citations
20.
Techen, Natascha, Sara L. Crockett, Ikhlas A. Khan, & Brian E. Scheffler. (2004). Authentication of Medicinal Plants Using Molecular Biology Techniques to Compliment Conventional Methods. Current Medicinal Chemistry. 11(11). 1391–1401. 49 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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