Ina Pöhner

633 citations
13 papers · 353 · h-index 7

Impact in

    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Biochemical and Molecular Research
    • Trypanosoma species research and implications

Papers in

    • Biochemical and Molecular Research 2
    • vaccines and immunoinformatics approaches 2
    • SARS-CoV-2 and COVID-19 Research 3
    • Tuberculosis Research and Epidemiology 1

Ina Pöhner

10 papers receiving 348 citations

Peers

Ina Pöhner
Comparison fields: 5 of 60
  • Molecular Biology 204
  • Epidemiology 89
  • Infectious Diseases 46
  • Public Health, Environmental and Occupational Health 62
  • Parasitology 15
Replace Karl A.T. Makepeace with:
Karl A.T. Makepeace Canada
Jagat Adhikari United States
Christine A. Oellig Australia
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Sonja Ghidelli‐Disse Germany
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Citations per field
00.5×
Karl A.T. Makepeace · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ina Pöhner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ina Pöhner Line = papers co-authored together Ina Pöhner links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2016114
2 202170
3 201853
4 201742
5 202327
6 201719
7 202216
8 20216
9 20243
10 20223
11 20260
12 20250
13 20250

About Ina Pöhner

Ina Pöhner is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Computational Theory and Mathematics and Organic Chemistry, having authored 13 papers that have together received 353 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (3 papers), Computational Drug Discovery Methods (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Biochemical and Molecular Research (2 papers), vaccines and immunoinformatics approaches (2 papers), Research on Leishmaniasis Studies (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Molecular Biology (204 citations), Epidemiology (89 citations), Infectious Diseases (46 citations), Public Health, Environmental and Occupational Health (62 citations) and Parasitology (15 citations). Ina Pöhner has collaborated with scholars based in Germany, Finland and Italy. Frequent co-authors include Rebecca C. Wade, Patrik Björkholm, Günter Krämer, Gunnar von Heijne, Bernd Bukau, Felix Gloge, Antti Poso, Markku Varjosalo, Antti Hassinen and Laxman Yetukuri. Their work appears in journals such as Journal of Medicinal Chemistry, Biochimica et Biophysica Acta (BBA) - General Subjects, Antiviral Research, Nature and Frontiers in Immunology.

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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