Dessy Natalia

657 total citations
51 papers, 481 citations indexed

About

Dessy Natalia is a scholar working on Molecular Biology, Biotechnology and Biomedical Engineering. According to data from OpenAlex, Dessy Natalia has authored 51 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 23 papers in Biotechnology and 15 papers in Biomedical Engineering. Recurrent topics in Dessy Natalia's work include Enzyme Production and Characterization (21 papers), Biofuel production and bioconversion (14 papers) and Microbial Metabolites in Food Biotechnology (13 papers). Dessy Natalia is often cited by papers focused on Enzyme Production and Characterization (21 papers), Biofuel production and bioconversion (14 papers) and Microbial Metabolites in Food Biotechnology (13 papers). Dessy Natalia collaborates with scholars based in Indonesia, Netherlands and Germany. Dessy Natalia's co-authors include Lasse Greiner, Pablo Domı́nguez de Marı́a, Saravanakumar Shanmuganathan, Zeily Nurachman, Ocky Karna Radjasa, A.S. Noer, Christina Kohlmann, Ihsanawati Ihsanawati, Lubbert Dijkhuizen and Yana Maolana Syah and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Scientific Reports.

In The Last Decade

Dessy Natalia

42 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dessy Natalia Indonesia 12 256 203 109 105 68 51 481
Vivi Joosten Netherlands 8 396 1.5× 132 0.7× 155 1.4× 139 1.3× 44 0.6× 9 607
Ruth Lloyd United Kingdom 10 290 1.1× 153 0.8× 134 1.2× 139 1.3× 117 1.7× 13 555
Rama Bhikhabhai Sweden 7 340 1.3× 165 0.8× 237 2.2× 89 0.8× 31 0.5× 8 564
Cintia W. Rivero Argentina 17 367 1.4× 84 0.4× 88 0.8× 54 0.5× 20 0.3× 34 588
W.G.B. Voorhorst Netherlands 12 374 1.5× 274 1.3× 120 1.1× 127 1.2× 70 1.0× 18 588
José Abrahão-Neto Brazil 12 431 1.7× 141 0.7× 181 1.7× 75 0.7× 46 0.7× 18 633
Ronan M. Kelly United States 12 477 1.9× 333 1.6× 104 1.0× 71 0.7× 199 2.9× 19 699
Ki Tae Kim South Korea 17 613 2.4× 184 0.9× 109 1.0× 106 1.0× 14 0.2× 52 812
Chunhua Zhao China 17 520 2.0× 76 0.4× 150 1.4× 76 0.7× 15 0.2× 37 772
Essam Kotb Saudi Arabia 15 247 1.0× 259 1.3× 97 0.9× 94 0.9× 18 0.3× 40 585

Countries citing papers authored by Dessy Natalia

Since Specialization
Citations

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

Fields of papers citing papers by Dessy Natalia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dessy Natalia

This figure shows the co-authorship network connecting the top 25 collaborators of Dessy Natalia. A scholar is included among the top collaborators of Dessy Natalia 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 Dessy Natalia. Dessy Natalia 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.
Ihsanawati, Ihsanawati, et al.. (2024). Probing the function of C-terminal region of recombinant α-amylase BmaN1 from Bacillus megaterium NL3. Microbiology Spectrum. 12(10). e0335123–e0335123.
2.
Ihsanawati, Ihsanawati, et al.. (2024). Immunogenicity studies of recombinant RBD SARS-CoV-2 as a COVID-19 vaccine candidate produced in Escherichia coli. Vaccine X. 16. 100443–100443. 1 indexed citations
3.
Natalia, Dessy, David Virya Chen, Chikako Ono, et al.. (2023). SARS-CoV-2 Neutralization Assay System using Pseudo-lentivirus. The Indonesian Biomedical Journal. 15(2). 179–86. 1 indexed citations
4.
Septiani, Ni Luh Wulan, et al.. (2022). Amorphous HKUST-1 Nanoparticles and Their Modification for Highly Sensitive Dengue Virus Immunosensor. Journal of The Electrochemical Society. 169(9). 97506–97506. 7 indexed citations
5.
Azhar, Minda, et al.. (2020). Cloning,Sequencingand Analyzingof16S rRNA Gene from Inulin HydrolyzingBacteria. International Journal of Advances in Scientific Research and Engineering. 6(5). 88–95.
6.
Gaffar, Shabarni, et al.. (2019). Combination of Genetic Manipulation Improved <i>Saccharomycopsis fibuligera</i> α-Amylase Secretion by <i>Pichia pastoris</i>. Indonesian Journal of Chemistry. 19(2). 305–305. 1 indexed citations
7.
Azhar, Minda, et al.. (2017). SKRINING BAKTERI PENDEGRADASI INULIN DARI RIZOSFER UMBI DAHLIA MENGGUNAKAN INULIN UMBI DAHLIA. 18(2). 13–20. 1 indexed citations
8.
Alisjahbana, Bachti, et al.. (2017). Construction and expression of a synthetic gene encoding nonstructural glycoprotein NS1 of dengue 2 virus in Pichia pastoris. Asian Pacific Journal of Tropical Biomedicine. 7(8). 689–693. 3 indexed citations
9.
Susanti, Ratna Frida & Dessy Natalia. (2016). Pengaruh Penambahan Filler dan Suhu Pengeringan terhadap Kandungan Antioksidan pada Daun Physalis angulata yang Diperoleh dengan Ekstraksi Menggunakan Air Subkritik. 3. 1 indexed citations
10.
Ihsanawati, Ihsanawati, et al.. (2016). Cloning and Expression of Small Hepatitis B Surface Antigen (sHBsAg) In Hansenula polymorpha. SHILAP Revista de lepidopterología. 10(4). 119–124. 2 indexed citations
11.
Amalia, Riezki, et al.. (2016). Heterologous expression of -amylase from Saccharomycopsis fibuligera R64 and its Tyr401Trp mutant in Pichia pastoris. SHILAP Revista de lepidopterología. 10(1). 23–29. 3 indexed citations
12.
Ihsanawati, Ihsanawati, et al.. (2016). Mutation of katG in a clinical isolate of Mycobacterium tuberculosis: effects on catalase-peroxidase for isoniazid activation. The Ukrainian Biochemical Journal. 88(5). 71–81. 9 indexed citations
13.
Gaffar, Shabarni, et al.. (2015). Secretory Expression of Saccharomycopsisfibuligera R64 α-Amylase with Native Signal Peptide in Pichiapastoris. Procedia Chemistry. 17. 177–183. 1 indexed citations
14.
15.
Natalia, Dessy, et al.. (2014). Construction of individual, fused, and co-expressed proteins of endoglucanase and β-glucosidase for hydrolyzing sugarcane bagasse. Microbiological Research. 169(9-10). 725–732. 10 indexed citations
16.
17.
Ismaya, Wangsa T., et al.. (2013). Chemical Modification of Saccharomycopsis fibuligera R64 α-Amylase to Improve its Stability Against Thermal, Chelator, and Proteolytic Inactivation. Applied Biochemistry and Biotechnology. 170(1). 44–57. 19 indexed citations
18.
Natalia, Dessy & Walter Leitner. (2012). Benzaldehyde lyase catalysed carboligation of 2-furaldehyde into (R)-2,2’-furoin in non-conventional media. RWTH Publications (RWTH Aachen).
19.
Natalia, Dessy, Lasse Greiner, Walter Leitner, & Marion B. Ansorge‐Schumacher. (2011). Stability, activity, and selectivity of benzaldehyde lyase in supercritical fluids. The Journal of Supercritical Fluids. 62. 173–177. 10 indexed citations
20.
Williamson, Richard A., Dessy Natalia, Christopher K. Gee, et al.. (1996). Chemically and Conformationally Authentic Active Domain of Human Tissue Inhibitor of Metalloproteinases‐2 Refolded from Bacterial Inclusion Bodies. European Journal of Biochemistry. 241(2). 476–483. 36 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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