D. Parratt

36 papers receiving 882 citations

Peers

D. Parratt
Comparison fields: 5 of 100
  • Microbiology 50
  • Gastroenterology 69
  • Applied Microbiology and Biotechnology 23
  • Infectious Diseases 177
  • Small Animals 74
Replace Kathryn J. Ray with:
Kathryn J. Ray United States
Harold C. McKenzie United States
M Mathur India
Robert M. Bannatyne Canada
Carl Kamme Sweden
Eduardo López Argentina
Futoshi Higa Japan
Nicolas Degand France
Donald Armstrong United States
Kalen Jacobson United States
D. Parratt relative to Kathryn J. Ray United States Kathryn J. Ray's profile →
Citations per field
00.5×3.7×
Kathryn J. Ray · 1×
Citations per year

Countries citing papers authored by D. Parratt

Since Specialization
Citations

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

Fields of papers citing papers by D. Parratt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988257
2 1990129
3 199248
4 199448
5 197746
6 198042
7 198742
8 199640
9 197824
10
IgM and IgG antibody levels to ampicillin in patients with infectious mononucleosis.
197623
11 197322
12
The quantitation of antibody in farmer's lung syndrome using a radioimmunoassay. Results of a clinical survey and comparison of three serological methods.
197521
13 199218
14 199016
15 197616
16 198015
17 197814
18 199614
19 198114
20 200813

About D. Parratt

D. Parratt is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases, Pulmonary and Respiratory Medicine and Surgery, having authored 39 papers that have together received 961 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Medical Imaging and Pathology Studies (5 papers), Pneumonia and Respiratory Infections (3 papers), Celiac Disease Research and Management (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Microbiology (50 citations), Gastroenterology (69 citations), Applied Microbiology and Biotechnology (23 citations), Infectious Diseases (177 citations) and Small Animals (74 citations). D. Parratt has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Harold C. McKenzie, C R Pennington, Janice Main, Grant R. Yeaman, M.A. Kerr, Debra L. Robson, Russ White, R J Holdsworth, Klaus H. Nielsen and K. Nielsen. Their work appears in journals such as Journal of Clinical Pathology, British Journal of Dermatology, Thorax, The Lancet and European Journal of Epidemiology.

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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