William E. Goldman

130 papers receiving 8.3k citations

Peers

William E. Goldman
Comparison fields: 5 of 139
  • Microbiology 1.2k
  • Endocrinology 830
  • Parasitology 723
  • Infectious Diseases 1.8k
  • Epidemiology 2.9k
Replace Christina A. Cuomo with:
Christina A. Cuomo United States
Robert A. Heinzen United States
Ernesto Nakayasu United States
Marie‐Christine Prévost France
Raphael H. Valdivia United States
Rotem Sorek Israel
Matthew Berriman United Kingdom
Bart Barrell United Kingdom
Vsevolod L. Popov United States
Christiane Bouchier France
William E. Goldman relative to Christina A. Cuomo United States Christina A. Cuomo's profile →
Citations per field
00.5×2.7×
Christina A. Cuomo · 1×
Citations per year

Countries citing papers authored by William E. Goldman

Since Specialization
Citations

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

Fields of papers citing papers by William E. Goldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004349
2 2007323
3 2006314
4 2004296
5 2008291
6 2005251
7 2007219
8 2004208
9 2006156
10
Quantitative plating of Histoplasma capsulatum without addition of conditioned medium or siderophores.
1988155
11 1993154
12 2006143
13 2006143
14 2000139
15 2010139
16 1988137
17 2002132
18 1994122
19 1982119
20 2017119

About William E. Goldman

William E. Goldman is a scholar working on Epidemiology, Molecular Biology, Plant Science, Microbiology and Infectious Diseases, having authored 131 papers that have together received 8.5k indexed citations. Recurring topics across this work include Fungal Infections and Studies (47 papers), Antifungal resistance and susceptibility (21 papers), Bacterial Infections and Vaccines (18 papers), Yersinia bacterium, plague, ectoparasites research (18 papers), Vibrio bacteria research studies (14 papers), Phytoplasmas and Hemiptera pathogens (14 papers), Plant Pathogens and Fungal Diseases (13 papers) and Plant-Microbe Interactions and Immunity (10 papers). The work is most often cited by research in Microbiology (1.2k citations), Endocrinology (830 citations), Parasitology (723 citations), Infectious Diseases (1.8k citations) and Epidemiology (2.9k citations). William E. Goldman has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Linda Eissenberg, Chad A. Rappleye, Jacquelyn T. Engle, Patricia L. Worsham, Virginia L. Miller, Wyndham W. Lathem, Margaret McFall‐Ngai, Neal Silverman, Paul A. Price and Seth D. Crosby. Their work appears in journals such as Infection and Immunity, mBio, Proceedings of the National Academy of Sciences, Molecular Microbiology and Journal of Bacteriology.

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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