Fred Widmer

1.2k citations
31 papers · 1.0k · h-index 21

Impact in

Papers in

    • Chemical Synthesis and Analysis 6
    • Protein Hydrolysis and Bioactive Peptides 4
    • Biochemical and Structural Characterization 4
    • Antifungal resistance and susceptibility 9

Fred Widmer

30 papers receiving 1.0k citations

Peers

Fred Widmer
Comparison fields: 5 of 89
  • Infectious Diseases 263
  • Oncology 281
  • Epidemiology 270
  • Cellular and Molecular Neuroscience 139
  • Molecular Biology 524
Replace F. J. Kezdy with:
F. J. Kezdy United States
Andrew F. Wilderspin United Kingdom
Michael B. Harbut United States
Brian L. Carlson United States
Gerrit G. Langer Germany
Lawrence C. Myers United States
Jason S. Rush United States
S Chang United States
Heath E. Klock United States
Akiko Yamazaki Japan
Fred Widmer relative to F. J. Kezdy United States F. J. Kezdy's profile →
Citations per field
00.5×2×4×6×8×9.7×
F. J. Kezdy · 1×
Citations per year

Countries citing papers authored by Fred Widmer

Since Specialization
Citations

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

Fields of papers citing papers by Fred Widmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006125
2 197973
3 198271
4 200667
5 200457
6 198055
7 200947
8 198346
9 198145
10 200742
11 198040
12 200537
13 198136
14 200435
15 200734
16 200733
17 199133
18 198030
19 200922
20 198321

About Fred Widmer

Fred Widmer is a scholar working on Molecular Biology, Infectious Diseases, Oncology, Epidemiology and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (9 papers), Peptidase Inhibition and Analysis (9 papers), Fungal Infections and Studies (8 papers), Chemical Synthesis and Analysis (6 papers), Neuropeptides and Animal Physiology (5 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Biochemical and Structural Characterization (4 papers) and Nail Diseases and Treatments (4 papers). The work is most often cited by research in Infectious Diseases (263 citations), Oncology (281 citations), Epidemiology (270 citations), Cellular and Molecular Neuroscience (139 citations) and Molecular Biology (524 citations). Fred Widmer has collaborated with scholars based in Australia, Denmark and Canada. Frequent co-authors include J. Johansen, Klaus Breddam, Tania C. Sorrell, Lesley C. Wright, Daniel Obando, Katrina A. Jolliffe, Motonori Ohno, D. Ellis, Akira Komoriya and Irwin Chaiken. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Bioorganic & Medicinal Chemistry, Life Sciences, Applied Biochemistry and Biotechnology and Biochemical Journal.

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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