Linda M. Weigel

3.3k citations
30 papers · 2.5k indexed · 1 hit paper · h-index 20
Topics
Antibiotic Resistance in Bacteria (13 papers)Antibiotics Pharmacokinetics and Efficacy (9 papers)Antimicrobial Resistance in Staphylococcus (7 papers)

In The Last Decade

Linda M. Weigel

30 papers receiving 2.4k citations

Hit Papers

Genetic Analysis of a High-Level Vancomycin-Resistant Iso...20032026201020182003200400600

Peers

Linda M. Weigel
Comparison fields: 5 of 100
  • Infectious Diseases 1.0k
  • Molecular Biology 901
  • Molecular Medicine 883
  • Epidemiology 545
  • Clinical Biochemistry 520
Replace Bruno Périchon with:
Bruno Périchon France
Bülent Bozdoğan Türkiye
José R. Mediavilla United States
Peter Damborg Denmark
Monica Monaco Italy
Lorena Díaz Colombia
Tsai‐Ling Lauderdale Taiwan
Norihisa Noguchi Japan
Alexey Ruzin United States
Fangyou Yu China
Linda M. Weigel relative to Bruno Périchon France Bruno Périchon's profile →
Citations per field
00.5×1.5×
Bruno Périchon · 1×
Citations per year

Countries citing papers authored by Linda M. Weigel

Since Specialization
Citations

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

Fields of papers citing papers by Linda M. Weigel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda M. Weigel. 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 Linda M. Weigel. The network helps show where Linda M. Weigel may publish in the future.

Co-authorship network of co-authors of Linda M. Weigel

This figure shows the co-authorship network connecting the top 25 collaborators of Linda M. Weigel. A scholar is included among the top collaborators of Linda M. Weigel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Linda M. Weigel. Linda M. Weigel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 11
2 9
3 4
4 46
5 26
6 46
7 11
8 19
9 184
10 110
11
Genetic Analysis of a High-Level Vancomycin-Resistant Isolate of Staphylococcus aureusbreakdown →
668
12 277
13 65
14 76
15 61
16 100
17 49
18 73
19 17
20 33

About Linda M. Weigel

Linda M. Weigel is a scholar working on Molecular Medicine, Clinical Biochemistry and Pharmacology, having authored 30 papers that have together received 2.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (13 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers) and Antimicrobial Resistance in Staphylococcus (7 papers). The work is most often cited by research in Molecular Medicine (883 citations), Clinical Biochemistry (520 citations) and Infectious Diseases (1.0k citations). Linda M. Weigel has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Fred C. Tenover, Nancye C. Clark, Linda K. McDougal, Christine D. Steward, George Killgore, James F. Kolonay, Don B. Clewell, Jyoti Shetty, Steven R. Gill and Susan E. Flannagan. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

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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