John R. Boring

33 papers receiving 1.0k citations

Peers

John R. Boring
Comparison fields: 5 of 134
  • Endocrinology 137
  • Molecular Medicine 89
  • Microbiology 90
  • Obstetrics and Gynecology 95
  • Infectious Diseases 141
Replace J. Gray with:
J. Gray United Kingdom
Harry P. Dalton United States
Magnus Grabe Sweden
Miriam Adhikari South Africa
Zoheir Farid Egypt
Avi Peretz Israel
Jonathan Thorsen Denmark
Roger J. Bulger United States
James L. Wynn United States
Jørgen Vildershøj Bjørnholt Norway
John R. Boring relative to J. Gray United Kingdom J. Gray's profile →
Citations per field
00.5×4.3×
J. Gray · 1×
Citations per year

Countries citing papers authored by John R. Boring

Since Specialization
Citations

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

Fields of papers citing papers by John R. Boring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Boring. 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 John R. Boring. The network helps show where John R. Boring may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971187
2 1996105
3 199291
4 199185
5
Sensitivity, Specificity, and Predictive Value
199079
6 199775
7 199259
8 200655
9 200048
10 198847
11 196336
12 199235
13 196632
14 198932
15
A reassessment of risk factors for neonatal tetanus.
199131
16 197130
17 198729
18 195925
19 197021
20
Medical epidemiology. 2nd edition.
199613

About John R. Boring

John R. Boring is a scholar working on Endocrinology, Food Science, Infectious Diseases, Cardiology and Cardiovascular Medicine and Statistics and Probability, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Enterobacteriaceae and Cronobacter Research (3 papers), Cardiovascular Effects of Exercise (2 papers), Sinusitis and nasal conditions (2 papers), Food Safety and Hygiene (2 papers), Immune Cell Function and Interaction (2 papers) and Statistics Education and Methodologies (2 papers). The work is most often cited by research in Endocrinology (137 citations), Molecular Medicine (89 citations), Microbiology (90 citations), Obstetrics and Gynecology (95 citations) and Infectious Diseases (141 citations). John R. Boring has collaborated with scholars based in United States. Frequent co-authors include Stephen W. Schwarzmann, W. Dana Flanders, Frank DeStefano, J L Annest, Fatima Mili, A R Samadi, Judy Lew, Roger I. Glass, Raymond E. Gangarosa and W T Martin. Their work appears in journals such as American Journal of Epidemiology, The Journal of Pediatrics, The American Journal of Sports Medicine, The American Statistician and American Journal of Public Health.

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