K. Wahn

668 citations
22 papers · 551 · h-index 11

Impact in

Papers in

    • Virology and Viral Diseases 7
    • Influenza Virus Research Studies 3
    • RNA and protein synthesis mechanisms 3
    • RNA modifications and cancer 3

K. Wahn

22 papers receiving 508 citations

Peers

K. Wahn
Comparison fields: 5 of 60
  • Animal Science and Zoology 107
  • Infectious Diseases 192
  • Virology 41
  • Epidemiology 255
  • Endocrinology 22
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Citations per field
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Citations per year

Countries citing papers authored by K. Wahn

Since Specialization
Citations

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

Fields of papers citing papers by K. Wahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside K. Wahn, 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 K. Wahn Line = papers co-authored together K. Wahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980108
2 198092
3 199182
4 198251
5 198443
6 199130
7 198729
8 196824
9 199318
10 198418
11 198013
12 19768
13 19808
14 19806
15
Studies on the structure of aminal ribosomes. 3. Electron microscopic investigations of isolated rat liver ribosomes and their subunits.
19726
16 19815
17 19854
18 19672
19
[COMPARATIVE MANOMETRIC AND PHASE-CONTRAST MICROSCOPIC STUDIES ON THE MECHANISM OF ACTION OF SURFACE-ACTIVE AGENTS ON MYCOBACTERIA].
19631
20
Studies on the structure of animal ribosomes. II. Loosening and unlocking of rat liver ribosomes at low Mg ++ concentration: an electron microscopic study.
19721

About K. Wahn

K. Wahn is a scholar working on Epidemiology, Molecular Biology, Public Health, Environmental and Occupational Health, Genetics and Infectious Diseases, having authored 22 papers that have together received 551 indexed citations. Recurring topics across this work include Virology and Viral Diseases (7 papers), Mosquito-borne diseases and control (4 papers), Animal Virus Infections Studies (3 papers), Virus-based gene therapy research (3 papers), Plant Virus Research Studies (3 papers), Influenza Virus Research Studies (3 papers), RNA and protein synthesis mechanisms (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Animal Science and Zoology (107 citations), Infectious Diseases (192 citations), Virology (41 citations), Epidemiology (255 citations) and Endocrinology (22 citations). K. Wahn has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Hans‐Dieter Klenk, R. Rott, R. T. C. Huang, Gerd Wengler, B. Schultze, Georg Herrler, Ulrike Boege, T. Kohama, Gisela Wengler and Gudrun Lutsch. Their work appears in journals such as Virology, Archives of Virology, Medical Microbiology and Immunology, Virus Research and Journal of General Virology.

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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