John R. Boring

33 papers receiving 1.0k citations

Peers

John R. Boring
Comparison fields: 5 of 136
  • Endocrinology 154
  • Molecular Medicine 92
  • Microbiology 99
  • Obstetrics and Gynecology 99
  • Reproductive Medicine 84
Replace J. Gray with:
J. Gray United Kingdom
Magnus Grabe Sweden
Miriam Adhikari South Africa
Zoheir Farid Egypt
Ming‐Han Tsai Taiwan
Bahareh Hajikhani Iran
Jonathan Thorsen Denmark
John Snyder United States
James L. Wynn United States
Jordi Bosch Spain
John R. Boring relative to J. Gray United Kingdom J. Gray's profile →
Citations per field
00.5×4.1×
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 199292
4 199185
5
Sensitivity, Specificity, and Predictive Value
199079
6 199775
7 199259
8 200655
9 200048
10 198847
11 196336
12 199235
13 198932
14 196632
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 General Health Professions, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (4 papers), Enterobacteriaceae and Cronobacter Research (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Statistics Education and Methodologies (2 papers), Immune Cell Function and Interaction (2 papers), Cardiovascular Effects of Exercise (2 papers), Sports injuries and prevention (2 papers) and Bacterial Identification and Susceptibility Testing (2 papers). The work is most often cited by research in Endocrinology (154 citations), Molecular Medicine (92 citations), Microbiology (99 citations), Obstetrics and Gynecology (99 citations) and Reproductive Medicine (84 citations). John R. Boring has collaborated with scholars based in United States. Frequent co-authors include Stephen W. Schwarzmann, W. Dana Flanders, J L Annest, Fatima Mili, Frank DeStefano, 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