Paul S. Heckerling
- General Health Professions top 5%
- Public Health, Environmental and Occupational Health top 5%
- Family Practice top 0.5%
- Epidemiology top 10%
- Pediatrics, Perinatology and Child Health top 5%
- Co-authors
- Ben S. GerberMarion S. VerpRobert S. WigtonArthur S. ElsteinThomas G. TapePaul L. FineCharles P. FriedmanFredric M. Wolf
- Topics
- Clinical Reasoning and Diagnostic Skills (11 papers)Prenatal Screening and Diagnostics (7 papers)Heme Oxygenase-1 and Carbon Monoxide (6 papers)
- Partner nations
- United States
In The Last Decade
Paul S. Heckerling
60 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 166
- General Health Professions 330
- Public Health, Environmental and Occupational Health 280
- Family Practice 260
- Epidemiology 258
- Pediatrics, Perinatology and Child Health 211
Countries citing papers authored by Paul S. Heckerling
This map shows the geographic impact of Paul S. Heckerling'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 Paul S. Heckerling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul S. Heckerling more than expected).
Fields of papers citing papers by Paul S. Heckerling
This network shows the impact of papers produced by Paul S. Heckerling. 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 Paul S. Heckerling. The network helps show where Paul S. Heckerling may publish in the future.
Co-authorship network of co-authors of Paul S. Heckerling
This figure shows the co-authorship network connecting the top 25 collaborators of Paul S. Heckerling. A scholar is included among the top collaborators of Paul S. Heckerling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul S. Heckerling. Paul S. Heckerling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 50 | |
| 3 | 19 | |
| 4 | 139 | |
| 5 | 27 | |
| 6 | 43 | |
| 7 | 155 | |
| 8 | 4 | |
| 9 | 23 | |
| 10 | 8 | |
| 11 | 31 | |
| 12 | 19 | |
| 13 | 14 | |
| 14 | 52 | |
| 15 | 14 | |
| 16 | 33 | |
| 17 | 22 | |
| 18 | 140 | |
| 19 | 33 | |
| 20 | 18 |
About Paul S. Heckerling
Paul S. Heckerling is a scholar working on Family Practice, Health Information Management and Statistics, Probability and Uncertainty, having authored 60 papers that have together received 1.8k indexed citations. Recurring topics across this work include Clinical Reasoning and Diagnostic Skills (11 papers), Prenatal Screening and Diagnostics (7 papers) and Heme Oxygenase-1 and Carbon Monoxide (6 papers). The work is most often cited by research in Family Practice (260 citations), Health Information Management (180 citations) and General Decision Sciences (37 citations). Paul S. Heckerling has collaborated with scholars based in United States. Frequent co-authors include Ben S. Gerber, Marion S. Verp, Robert S. Wigton, Arthur S. Elstein, Thomas G. Tape, Paul L. Fine, Charles P. Friedman, Fredric M. Wolf, Gwendolyn C. Murphy and Timothy M. Franz. Their work appears in journals such as JAMA, Annals of Internal Medicine and Diabetes Care.
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.