Nina Geiger

647 total citations
12 papers, 260 citations indexed

About

Nina Geiger is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Nina Geiger has authored 12 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Nina Geiger's work include SARS-CoV-2 and COVID-19 Research (6 papers), Pharmacological Receptor Mechanisms and Effects (3 papers) and COVID-19 Clinical Research Studies (3 papers). Nina Geiger is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), Pharmacological Receptor Mechanisms and Effects (3 papers) and COVID-19 Clinical Research Studies (3 papers). Nina Geiger collaborates with scholars based in Germany, France and United States. Nina Geiger's co-authors include Jochen Bodem, Katherina Sewald, Jürgen Seibel, Heike Oberwinkler, Maria Steinke, Olga Danov, Dominik Thimm, Katharina Sylvester, Christa E. Müller and Thanigaimalai Pillaiyar and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Scientific Reports.

In The Last Decade

Nina Geiger

10 papers receiving 258 citations

Peers

Nina Geiger

MB

ID

CTM

NEURO

OC

Gi Uk Jeong South Korea

Mohamed Mahdi Hungary

Janhavi P. Natekar United States

Senbao Lu United States

Elisa Saccon Sweden

Yogy Simanjuntak Taiwan

Robert Haupt United States

Angeles Mecate‐Zambrano Germany

Zheng Yao Low Malaysia

Priyanka Baloni United States

Gi Uk Jeong South Korea

Nina Geiger

78 ×0.6

MB

120 ×1.0

ID

29 ×0.4

CTM

85 ×2.0

NEURO

15 ×0.4

OC

Citations per year, relative to Nina Geiger Nina Geiger (= 1×) peers Gi Uk Jeong

Countries citing papers authored by Nina Geiger

Since Specialization

Citations

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

Fields of papers citing papers by Nina Geiger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Geiger

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

All Works

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12 of 12 papers shown

1.

Li, Jianhui, Nina Geiger, Sabine Fischer, et al.. (2025). Visualizing the transcription and replication of influenza A viral RNAs in cells by multiple direct RNA padlock probing and in situ sequencing (mudRapp-seq). Nucleic Acids Research. 53(11).

2.

Sayed, Ahmed M., Nasir Tajuddeen, Jürgen Seibel, et al.. (2023). Korupensamine A, but not its atropisomer, korupensamine B, inhibits SARS-CoV-2 in vitro by targeting its main protease (Mpro). European Journal of Medicinal Chemistry. 251. 115226–115226. 8 indexed citations

3.

Geiger, Nina, Eva‐Maria König, Katherina Sewald, et al.. (2023). Cell Type-Specific Anti-Viral Effects of Novel SARS-CoV-2 Main Protease Inhibitors. International Journal of Molecular Sciences. 24(4). 3972–3972. 6 indexed citations

4.

Geiger, Nina, Jan Schlegel, Julian Fink, et al.. (2023). Azido-Ceramides, a Tool to Analyse SARS-CoV-2 Replication and Inhibition—SARS-CoV-2 Is Inhibited by Ceramides. International Journal of Molecular Sciences. 24(8). 7281–7281. 1 indexed citations

5.

Geiger, Nina, et al.. (2023). Drug-induced phospholipidosis is not correlated with the inhibition of SARS-CoV-2 - inhibition of SARS-CoV-2 is cell line-specific. Frontiers in Cellular and Infection Microbiology. 13. 1100028–1100028. 4 indexed citations

6.

Geiger, Nina, Eva‐Maria König, Heike Oberwinkler, et al.. (2022). Acetylsalicylic Acid and Salicylic Acid Inhibit SARS-CoV-2 Replication in Precision-Cut Lung Slices. Vaccines. 10(10). 1619–1619. 13 indexed citations

7.

Friedrich, Maik, Gabriele Pfeifer, Achim Aigner, et al.. (2022). Selection and Validation of siRNAs Preventing Uptake and Replication of SARS-CoV-2. Frontiers in Bioengineering and Biotechnology. 10. 801870–801870. 23 indexed citations

8.

Geiger, Nina, Jan Schlegel, Eva‐Maria König, et al.. (2022). The Acid Ceramidase Is a SARS-CoV-2 Host Factor. Cells. 11(16). 2532–2532. 16 indexed citations

9.

Pillaiyar, Thanigaimalai, Laura Schäkel, Nina Geiger, et al.. (2021). Die Hauptprotease von SARS‐CoV‐2 als Zielstruktur: Von der Etablierung eines Hochdurchsatz‐Screenings zum Design maßgeschneiderter Inhibitoren. Angewandte Chemie. 133(18). 10515–10521. 3 indexed citations

10.

Pillaiyar, Thanigaimalai, Laura Schäkel, Nina Geiger, et al.. (2021). Targeting the Main Protease of SARS‐CoV‐2: From the Establishment of High Throughput Screening to the Design of Tailored Inhibitors. Angewandte Chemie International Edition. 60(18). 10423–10429. 89 indexed citations

11.

Geiger, Nina, Olga Danov, Heike Oberwinkler, et al.. (2021). The serotonin reuptake inhibitor Fluoxetine inhibits SARS-CoV-2 in human lung tissue. Scientific Reports. 11(1). 5890–5890. 97 indexed citations

12.

Heinzemann, Christian, et al.. (2012). Fujaba Days 2011.

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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