Ina Pöhner

608 total citations
11 papers, 337 citations indexed

About

Ina Pöhner is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Ina Pöhner has authored 11 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Infectious Diseases and 4 papers in Epidemiology. Recurrent topics in Ina Pöhner's work include SARS-CoV-2 and COVID-19 Research (3 papers), Computational Drug Discovery Methods (3 papers) and Biochemical and Molecular Research (3 papers). Ina Pöhner is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Computational Drug Discovery Methods (3 papers) and Biochemical and Molecular Research (3 papers). Ina Pöhner collaborates with scholars based in Germany, Finland and Italy. Ina Pöhner's co-authors include Rebecca C. Wade, Bernd Bukau, Felix Gloge, Gunnar von Heijne, Patrik Björkholm, Günter Krämer, Antti Poso, Stefano Mangani, Federica Giordani and Christine Clayton and has published in prestigious journals such as Nature, Journal of Medicinal Chemistry and Frontiers in Immunology.

In The Last Decade

Ina Pöhner

10 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ina Pöhner Germany	7	205	85	62	57	52	11	337
Karl A.T. Makepeace Canada	12	282 1.4×	65 0.8×	46 0.7×	22 0.4×	23 0.4×	15	429
Christine A. Oellig Australia	6	203 1.0×	61 0.7×	92 1.5×	29 0.5×	43 0.8×	7	360
Tatiana Tolstykh United States	8	216 1.1×	132 1.6×	20 0.3×	30 0.5×	85 1.6×	10	448
Natascha Mueller United States	9	240 1.2×	128 1.5×	146 2.4×	27 0.5×	30 0.6×	9	458
Carlos A. García-Pérez Mexico	10	123 0.6×	90 1.1×	74 1.2×	95 1.7×	39 0.8×	23	303
Albert H. Chan United States	12	373 1.8×	43 0.5×	32 0.5×	78 1.4×	12 0.2×	21	503
Vinod Babbarwal India	8	195 1.0×	39 0.5×	117 1.9×	43 0.8×	18 0.3×	8	334
Sara M. Ø. Solbak Germany	14	312 1.5×	76 0.9×	11 0.2×	68 1.2×	24 0.5×	24	459
Elena Afonina United States	11	443 2.2×	56 0.7×	148 2.4×	25 0.4×	49 0.9×	12	644

Countries citing papers authored by Ina Pöhner

Since Specialization

Citations

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

Fields of papers citing papers by Ina Pöhner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ina Pöhner

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

All Works

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11 of 11 papers shown

Pöhner, Ina, et al.. (2025). Artificial intelligence in drug design: why a ‘one-size-fits-all’ approach remains out of reach. Expert Opinion on Drug Discovery. 20(10). 1239–1250.

Kuivanen, Suvi, Swapnil Potdar, Antti Hassinen, et al.. (2024). Drug repurposing platform for deciphering the druggable SARS-CoV-2 interactome. Antiviral Research. 223. 105813–105813. 2 indexed citations

Yetukuri, Laxman, et al.. (2023). Machine Learning-Boosted Docking Enables the Efficient Structure-Based Virtual Screening of Giga-Scale Enumerated Chemical Libraries. Journal of Chemical Information and Modeling. 63(18). 5773–5783. 22 indexed citations

Vianna, Priscila, Ina Pöhner, Stefan Richter, et al.. (2022). MatchTope: A tool to predict the cross reactivity of peptides complexed with Major Histocompatibility Complex I. Frontiers in Immunology. 13. 930590–930590. 3 indexed citations

Pöhner, Ina, Joanna Panecka-Hofman, Rosaria Luciani, et al.. (2022). Multitarget, Selective Compound Design Yields Potent Inhibitors of a Kinetoplastid Pteridine Reductase 1. Journal of Medicinal Chemistry. 65(13). 9011–9033. 15 indexed citations

Pöhner, Ina, et al.. (2021). Virus structure and structure-based antivirals. Current Opinion in Virology. 51. 16–24. 6 indexed citations

Liu, Xiaonan, Tuomo Laitinen, Taras Redchuk, et al.. (2021). SARS‐CoV‐2–host proteome interactions for antiviral drug discovery. Molecular Systems Biology. 17(11). e10396–e10396. 70 indexed citations

Vincent, Isabel M., Federica Giordani, Ina Pöhner, et al.. (2018). The trypanocidal benzoxaborole AN7973 inhibits trypanosome mRNA processing. PLoS Pathogens. 14(9). e1007315–e1007315. 52 indexed citations

Pisa, F. Di, Giacomo Landi, Cecilia Pozzi, et al.. (2017). Chroman-4-One Derivatives Targeting Pteridine Reductase 1 and Showing Anti-Parasitic Activity. Molecules. 22(3). 426–426. 39 indexed citations

10.

Panecka-Hofman, Joanna, Ina Pöhner, Francesca Spyrakis, et al.. (2017). Comparative mapping of on-targets and off-targets for the discovery of anti-trypanosomatid folate pathway inhibitors. Biochimica et Biophysica Acta (BBA) - General Subjects. 1861(12). 3215–3230. 17 indexed citations

11.

Gloge, Felix, Ina Pöhner, Patrik Björkholm, et al.. (2016). Global profiling of SRP interaction with nascent polypeptides. Nature. 536(7615). 219–223. 111 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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