Fred Widmer

1.2k citations
28 papers · 912 · h-index 19

Impact in

Papers in

Fred Widmer

28 papers receiving 890 citations

Peers

Fred Widmer
Comparison fields: 5 of 88
  • Infectious Diseases 249
  • Oncology 261
  • Epidemiology 262
  • Cellular and Molecular Neuroscience 135
  • Molecular Biology 434
Replace Michael B. Harbut with:
Michael B. Harbut United States
F. J. Kezdy United States
Preeti Saini India
Jason S. Rush United States
Krishan Kumar India
P Shenbagamurthi United States
Akiko Yamazaki Japan
Erin G. Prestwich United States
Heath E. Klock United States
S Chang United States
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Citations per field
00.5×6.4×
Michael B. Harbut · 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006117
2 197970
3 200661
4 198256
5 198050
6 200449
7 200944
8 198142
9 200741
10 198038
11 200534
12 198134
13 200733
14 200432
15 200731
16 199130
17 198026
18 200920
19 198320
20 198118

About Fred Widmer

Fred Widmer is a scholar working on Infectious Diseases, Epidemiology, Oncology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 912 indexed citations. Recurring topics across this work include Fungal Infections and Studies (9 papers), Antifungal resistance and susceptibility (9 papers), Peptidase Inhibition and Analysis (9 papers), Neuropeptides and Animal Physiology (5 papers), Chemical Synthesis and Analysis (5 papers), Nail Diseases and Treatments (4 papers), Biochemical and Structural Characterization (4 papers) and Synthesis and biological activity (2 papers). The work is most often cited by research in Infectious Diseases (249 citations), Oncology (261 citations), Epidemiology (262 citations), Cellular and Molecular Neuroscience (135 citations) and Molecular Biology (434 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, D. Ellis, Akira Komoriya, Irwin Chaiken and Motonori Ohno. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Bioorganic & Medicinal Chemistry, Biochemical Journal, Microbes and Infection and Journal of drug targeting.

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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