Frank Ebel

5.7k citations
81 papers · 4.3k · h-index 32

Impact in

  • Endocrinology top 0.2%
    • Escherichia coli research studies
    • Antifungal resistance and susceptibility
    • Viral gastroenteritis research and epidemiology

Papers in

Frank Ebel

80 papers receiving 4.2k citations

Peers

Frank Ebel
Comparison fields: 5 of 129
  • Endocrinology 1.1k
  • Infectious Diseases 1.7k
  • Immunology 870
  • Microbiology 248
  • Molecular Medicine 182
Replace J. Wayne Conlan with:
J. Wayne Conlan Canada
Armelle Phalipon France
Michinaga Ogawa Japan
Samantha Gruenheid Canada
Neil F. Fairweather United Kingdom
Hitomi Mimuro Japan
Susan M. Logan Canada
Peadar Ó Gaora Ireland
Marcia B. Goldberg United States
Mark Roberts United Kingdom
Frank Ebel relative to J. Wayne Conlan Canada J. Wayne Conlan's profile →
Citations per field
00.5×2.7×
J. Wayne Conlan · 1×
Citations per year

Countries citing papers authored by Frank Ebel

Since Specialization
Citations

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

Fields of papers citing papers by Frank Ebel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006422
2 2002288
3 2001280
4 1995234
5 2003231
6 2010192
7 2004172
8 1998154
9 2017147
10 1998135
11 2010131
12 2000110
13 201195
14 200394
15 200192
16 200884
17 201477
18 199776
19 199676
20 200664

About Frank Ebel

Frank Ebel is a scholar working on Infectious Diseases, Molecular Biology, Plant Science, Epidemiology and Endocrinology, having authored 81 papers that have together received 4.3k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (36 papers), Fungal and yeast genetics research (17 papers), Mycotoxins in Agriculture and Food (17 papers), Escherichia coli research studies (16 papers), Fungal Infections and Studies (16 papers), Fungal Biology and Applications (11 papers), Viral gastroenteritis research and epidemiology (10 papers) and Bacterial Genetics and Biotechnology (8 papers). The work is most often cited by research in Endocrinology (1.1k citations), Infectious Diseases (1.7k citations), Immunology (870 citations), Microbiology (248 citations) and Molecular Medicine (182 citations). Frank Ebel has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Jürgen Heesemann, Trinad Chakraborty, Axel A. Brakhage, Christina Deibel, Antonella Torosantucci, Siegfried Scherer, Martin J. Loessner, Karl Kramer, Johannes Wagener and Jürgen Loeffler. Their work appears in journals such as International Journal of Medical Microbiology, Molecular Microbiology, Medical Mycology, Journal of Fungi and Cellular Microbiology.

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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