W. Künkel

694 citations
43 papers · 584 · h-index 13

Impact in

Papers in

W. Künkel

42 papers receiving 537 citations

Peers

W. Künkel
Comparison fields: 5 of 69
  • Infectious Diseases 237
  • Epidemiology 153
  • Microbiology 29
  • Molecular Biology 313
  • Pharmacology 70
Replace Ikuko Tomiyasu with:
Ikuko Tomiyasu Japan
Nina Dabrowa United States
Sneh Lata Panwar India
Susham S. Ingavale United States
Anna Tillmann United Kingdom
Rajendra Prasad India
K Nollstadt United States
Yukie Takano Japan
Martin Zavřel Czechia
G. W. Emerson New Zealand
W. Künkel relative to Ikuko Tomiyasu Japan Ikuko Tomiyasu's profile →
Citations per field
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Ikuko Tomiyasu · 1×
Citations per year

Countries citing papers authored by W. Künkel

Since Specialization
Citations

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

Fields of papers citing papers by W. Künkel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199997
2 200055
3 200551
4 199545
5 200041
6 197931
7 200624
8 200220
9 200418
10 199916
11 197515
12 200413
13 200512
14
[The Candida infected hen's egg. An alternative test system for systemic anticandida activity].
199512
15 19809
16 20059
17 19749
18 19748
19 19808
20 19807

About W. Künkel

W. Künkel is a scholar working on Molecular Biology, Infectious Diseases, Biochemistry, Plant Science and Materials Chemistry, having authored 43 papers that have together received 584 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (17 papers), Antifungal resistance and susceptibility (12 papers), Enzyme Structure and Function (7 papers), Biochemical Acid Research Studies (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Fungal Infections and Studies (5 papers), Fungal Biology and Applications (5 papers) and Amino Acid Enzymes and Metabolism (4 papers). The work is most often cited by research in Infectious Diseases (237 citations), Epidemiology (153 citations), Microbiology (29 citations), Molecular Biology (313 citations) and Pharmacology (70 citations). W. Künkel has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Raimund Eck, Albert Härtl, Gerold Barth, Ernst Roemer, Peter F. Zipfel, Uwe Wollina, U.‐C. Hipler, Juliane Günther, A Härtl and Reinhard Wetzker. Their work appears in journals such as Journal of Basic Microbiology, Microbiology, Yeast, Archives of Dermatological Research and Infection and Immunity.

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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