William G. Merz

10.5k citations
146 papers · 8.1k indexed · 1 hit paper · h-index 51
Topics
Antifungal resistance and susceptibility (93 papers)Fungal Infections and Studies (52 papers)Plant Pathogens and Fungal Diseases (20 papers)

In The Last Decade

William G. Merz

144 papers receiving 7.6k citations

Hit Papers

Increase inCandida kruseiInfection among Patients with Bo...19912026200220141991250500750

Peers

William G. Merz
Comparison fields: 5 of 138
  • Infectious Diseases 6.0k
  • Epidemiology 4.7k
  • Oncology 1.1k
  • Cell Biology 783
  • Molecular Biology 776
Replace Richard J. Hamill with:
Richard J. Hamill United States
Márcio Nucci Brazil
R. J. Hollis United States
Markus Ruhnke Germany
Katsunori Yanagihara Japan
Katrien Lagrou Belgium
Barbara D. Alexander United States
Peter H. Gilligan United States
G. Petrikkos Greece
Duane R. Hospenthal United States
William G. Merz relative to Richard J. Hamill United States Richard J. Hamill's profile →
Citations per field
00.5×3.4×
Richard J. Hamill · 1×
Citations per year

Countries citing papers authored by William G. Merz

Since Specialization
Citations

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

Fields of papers citing papers by William G. Merz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William G. Merz. 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 William G. Merz. The network helps show where William G. Merz may publish in the future.

Co-authorship network of co-authors of William G. Merz

This figure shows the co-authorship network connecting the top 25 collaborators of William G. Merz. A scholar is included among the top collaborators of William G. Merz 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 William G. Merz. William G. Merz 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 5
2 54
3 27
4 105
5 62
6 31
7 45
8 145
9 80
10 88
11 12
12 38
13 38
14
Cell surface hydrophobicity-associated adherence of Candida dubliniensis to human buccal epithelial cells.
31
15 65
16 55
17 119
18 55
19 25
20 43

About William G. Merz

William G. Merz is a scholar working on Infectious Diseases, Microbiology and Endocrinology, having authored 146 papers that have together received 8.1k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (93 papers), Fungal Infections and Studies (52 papers) and Plant Pathogens and Fungal Diseases (20 papers). The work is most often cited by research in Infectious Diseases (6.0k citations), Epidemiology (4.7k citations) and Applied Microbiology and Biotechnology (237 citations). William G. Merz has collaborated with scholars based in United States, Switzerland and Thailand. Frequent co-authors include Rein Saral, Judith E. Karp, John R. Wingard, Michael G. Rinaldi, Thomas R. Johnson, James D. Dick, Gordon Sandford, Mary Ann Jabra‐Rizk, Timothy F. Meiller and William A. Falkler. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and Annals of Internal Medicine.

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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