David Sylwester

30 papers receiving 1.0k citations

Peers

David Sylwester
Comparison fields: 5 of 199
  • Statistics and Probability 61
  • Statistics, Probability and Uncertainty 53
  • Public Health, Environmental and Occupational Health 189
  • Physiology 155
  • Pharmacology 51
Replace William C. Taylor with:
William C. Taylor United States
Abhaya Indrayan India
A. W. Kimball United States
Alexa T. McCray United States
Sarah Garner United Kingdom
Zhe He United States
Yves A. Lussier United States
R. Eeckels Belgium
Ahmad Reza Baghestani Iran
Arjun K. Manrai United States
David Sylwester relative to William C. Taylor United States William C. Taylor's profile →
Citations per field
00.5×1.6×
William C. Taylor · 1×
Citations per year

Countries citing papers authored by David Sylwester

Since Specialization
Citations

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

Fields of papers citing papers by David Sylwester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984261
2 1988228
3 1981109
4 1972102
5 196975
6 200145
7 198744
8 198739
9 198036
10
Sources of variance in the measurement of intrapulmonary killing of bacteria.
197631
11 197125
12 197917
13 197917
14 198315
15 198513
16 198311
17
Depressed spontaneous cell-mediated cytotoxicity in Crohn's disease.
198310
18 19829
19 20029
20 19818

About David Sylwester

David Sylwester is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Epidemiology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (2 papers), Microscopic Colitis (2 papers), Inflammatory Bowel Disease (2 papers), Image and Object Detection Techniques (2 papers), Biochemical and Molecular Research (2 papers), Handwritten Text Recognition Techniques (2 papers), DNA Repair Mechanisms (2 papers) and Eosinophilic Esophagitis (2 papers). The work is most often cited by research in Statistics and Probability (61 citations), Statistics, Probability and Uncertainty (53 citations), Public Health, Environmental and Occupational Health (189 citations), Physiology (155 citations) and Pharmacology (51 citations). David Sylwester has collaborated with scholars based in United States. Frequent co-authors include William M. Mendenhall, Sidney Abraham, Ethan A.H. Sims, Dorothy Blair, Jean‐Pierre Habicht, Warren L. Beeken, Hans-Jörg Busch, Donald S. Robinson, Julian J. Jaffe and Marlene Absher. Their work appears in journals such as Technometrics, Journal of the American Statistical Association, Environmental Research, Biometrics and JNCI Journal of the National Cancer Institute.

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.

Explore authors with similar magnitude of impact