Nina Ihling

478 total citations
19 papers, 339 citations indexed

About

Nina Ihling is a scholar working on Molecular Biology, Biomedical Engineering and Analytical Chemistry. According to data from OpenAlex, Nina Ihling has authored 19 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Biomedical Engineering and 5 papers in Analytical Chemistry. Recurrent topics in Nina Ihling's work include Viral Infectious Diseases and Gene Expression in Insects (10 papers), Protein purification and stability (5 papers) and Biofuel production and bioconversion (5 papers). Nina Ihling is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (10 papers), Protein purification and stability (5 papers) and Biofuel production and bioconversion (5 papers). Nina Ihling collaborates with scholars based in Germany, United States and Sweden. Nina Ihling's co-authors include Jochen Büchs, Karl‐Erich Jaeger, Robert Huber, J. Schmid, Petra Zapp, Andreas Jupke, Till Tiso, Stephan Thies, Anita Loeschcke and Nick Wierckx and has published in prestigious journals such as Scientific Reports, Industrial & Engineering Chemistry Research and Biotechnology and Bioengineering.

In The Last Decade

Nina Ihling

17 papers receiving 337 citations

Peers

Nina Ihling

POLLU

BIOTE

Yogita Sardessai India

Yu. G. Maksimova Russia

R. Gyana Prasuna India

Kamran Jawed India

Alisa Gricajeva Lithuania

Wenjing Shen China

Davin Uy France

Isabel Bator Germany

M. Ahsanul Islam United Kingdom

Argyro Tsipa Cyprus

Yogita Sardessai India

Nina Ihling

258 ×1.3

93 ×0.9

56 ×0.9

POLLU

17 ×0.3

61 ×1.3

BIOTE

Citations per year, relative to Nina Ihling Nina Ihling (= 1×) peers Yogita Sardessai

Countries citing papers authored by Nina Ihling

Since Specialization

Citations

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

Fields of papers citing papers by Nina Ihling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Ihling

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Ihling. A scholar is included among the top collaborators of Nina Ihling 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 Nina Ihling. Nina Ihling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Ihling, Nina, et al.. (2023). Scale‐down of CHO cell cultivation from shake flasks based on oxygen mass transfer allows application of parallelized, non‐invasive, and time‐resolved monitoring of the oxygen transfer rate in 48‐well microtiter plates. Biotechnology Journal. 18(11). e2300053–e2300053. 5 indexed citations

Ihling, Nina, et al.. (2023). Assessing the capabilities of 2D fluorescence monitoring in microtiter plates with data-driven modeling for secondary substrate limitation experiments of Hansenula polymorpha. Journal of Biological Engineering. 17(1). 12–12. 2 indexed citations

Büsch, S., et al.. (2023). Advancing 2D fluorescence online monitoring in microtiter plates by separating scattered light and fluorescence measurement, using a tunable emission monochromator. Biotechnology and Bioengineering. 120(10). 2925–2939.

Ihling, Nina, et al.. (2022). Optimized prodigiosin production with Pseudomonas putida KT2440 using parallelized noninvasive online monitoring. Biotechnology Progress. 38(3). e3245–e3245. 4 indexed citations

Ihling, Nina, et al.. (2022). Online 2D Fluorescence Monitoring in Microtiter Plates Allows Prediction of Cultivation Parameters and Considerable Reduction in Sampling Efforts for Parallel Cultivations of Hansenula polymorpha. Bioengineering. 9(9). 438–438. 7 indexed citations

Ihling, Nina, et al.. (2022). Environmental Impacts of Biosurfactant Production Based on Substrates from the Sugar Industry. ACS Sustainable Chemistry & Engineering. 10(29). 9345–9358. 10 indexed citations

Ihling, Nina, et al.. (2022). Non‐invasive and time‐resolved measurement of the respiration activity of Chinese hamster ovary cells enables prediction of key culture parameters in shake flasks. Biotechnology Journal. 17(8). e2100677–e2100677. 18 indexed citations

Ihling, Nina, et al.. (2022). Introducing oxygen transfer rate measurements as a novel method for time-resolved cytotoxicity assessment in shake flasks. Environmental Sciences Europe. 34(1). 9 indexed citations

Ihling, Nina, Juan Eduardo Sosa‐Hernández, John M. Woodley, et al.. (2022). Mobile On Demand COVID-19 Vaccine Production Units for Developing Countries. Industrial & Engineering Chemistry Research. 61(35). 13191–13204. 2 indexed citations

10.

Ihling, Nina, et al.. (2021). Time-Resolved Monitoring of the Oxygen Transfer Rate of Chinese Hamster Ovary Cells Provides Insights Into Culture Behavior in Shake Flasks. Frontiers in Bioengineering and Biotechnology. 9. 725498–725498. 14 indexed citations

11.

Wierckx, Nick, et al.. (2021). Perspectives for the application of Ustilaginaceae as biotech cell factories. Essays in Biochemistry. 65(2). 365–379. 12 indexed citations

12.

Schmid, J., et al.. (2020). Revealing nutritional requirements of MICP-relevant Sporosarcina pasteurii DSM33 for growth improvement in chemically defined and complex media. Scientific Reports. 10(1). 22448–22448. 76 indexed citations

13.

Tiso, Till, Nina Ihling, Sonja Kubicki, et al.. (2020). Integration of Genetic and Process Engineering for Optimized Rhamnolipid Production Using Pseudomonas putida. Frontiers in Bioengineering and Biotechnology. 8. 976–976. 71 indexed citations

14.

Ihling, Nina, et al.. (2020). Combination of multivariate data analysis and 2D fluorescence spectroscopy in high‐throughput cultivation experiments. Chemie Ingenieur Technik. 92(9). 1206–1206.

15.

Schröder, Sebastian, Nina Ihling, Nick Wierckx, et al.. (2019). Complementing the intrinsic repertoire of Ustilago maydis for degradation of the pectin backbone polygalacturonic acid. Journal of Biotechnology. 307. 148–163. 18 indexed citations

16.

Ihling, Nina, et al.. (2019). Scale‐up of a Type I secretion system in E. coli using a defined mineral medium. Biotechnology Progress. 36(2). e2911–e2911. 13 indexed citations

17.

Ihling, Nina, Sylvia Diederichs, Karl‐Erich Jaeger, et al.. (2018). Online measurement of the respiratory activity in shake flasks enables the identification of cultivation phases and patterns indicating recombinant protein production in various Escherichia coli host strains. Biotechnology Progress. 34(2). 315–327. 15 indexed citations

18.

Anders, Nico, Nina Ihling, Andreas Knapp, et al.. (2017). Fast automated online xylanase activity assay using HPAEC-PAD. Analytical and Bioanalytical Chemistry. 410(1). 57–69. 12 indexed citations

19.

Ihling, Nina, et al.. (2015). Exchange of single amino acids at different positions of a recombinant protein affects metabolic burden in Escherichia coli. Microbial Cell Factories. 14(1). 10–10. 51 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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