D. W. Gregory

67 papers receiving 2.0k citations

Peers

D. W. Gregory
Comparison fields: 5 of 139
  • Virology 134
  • Infectious Diseases 355
  • Genetics 458
  • Endocrinology 79
  • Parasitology 97
Replace R M Zinkernagel with:
R M Zinkernagel Switzerland
Arthur O. Anderson United States
H. Ziegler United States
Franz Koch Austria
Masahiko Sugita Japan
R. R. Dourmashkin United Kingdom
A.F. Howatson Canada
B A Askonas United Kingdom
Jean‐Luc Guesdon France
Carl H. Hammer United States
D. W. Gregory relative to R M Zinkernagel Switzerland R M Zinkernagel's profile →
Citations per field
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Citations per year

Countries citing papers authored by D. W. Gregory

Since Specialization
Citations

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

Fields of papers citing papers by D. W. Gregory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. W. Gregory. 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 D. W. Gregory. The network helps show where D. W. Gregory may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tularemia: a 30-year experience with 88 cases.
1985258
2 1985246
3 1995187
4 1971116
5 1992111
6 1978110
7 197377
8 198975
9 196868
10
Investigation of touch-sensitive responses by hyphae of the human pathogenic fungus Candida albicans.
199460
11 196558
12 198957
13 196843
14 196542
15 197240
16 199434
17 197733
18 199633
19 199733
20 197933

About D. W. Gregory

D. W. Gregory is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Biomedical Engineering and Hematology, having authored 68 papers that have together received 2.2k indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (6 papers), Antifungal resistance and susceptibility (6 papers), Ultrasound and Cavitation Phenomena (5 papers), Iron Metabolism and Disorders (4 papers), Streptococcal Infections and Treatments (3 papers), Fungal Infections and Studies (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Virology (134 citations), Infectious Diseases (355 citations), Genetics (458 citations), Endocrinology (79 citations) and Parasitology (97 citations). D. W. Gregory has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include William Schaffner, Z. A. McGee, Martin E. Evans, Pauline M. Harrison, R.M. Aspden, D. Marshall, E. C. Cocking, B. J. S. Pirie, Neil A. R. Gow and G. W. Gooday. Their work appears in journals such as Ultrasound in Medicine & Biology, Medical Mycology, Journal of Microscopy, Journal of Experimental Botany and Journal of Insect Physiology.

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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