David I. Gregorio

1.9k citations
57 papers · 1.5k · h-index 24

Impact in

  • Health top 5%
    • Health disparities and outcomes
  • Epidemiology top 10%
    • Data-Driven Disease Surveillance

Papers in

    • Global Cancer Incidence and Screening 17
    • Colorectal Cancer Screening and Detection 9
    • Data-Driven Disease Surveillance 11
    • Cervical Cancer and HPV Research 2

David I. Gregorio

57 papers receiving 1.4k citations

Peers

David I. Gregorio
Comparison fields: 5 of 138
  • Health 100
  • Epidemiology 367
  • Oncology 262
  • Modeling and Simulation 35
  • Public Health, Environmental and Occupational Health 194
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Citations per field
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Citations per year

Countries citing papers authored by David I. Gregorio

Since Specialization
Citations

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

Fields of papers citing papers by David I. Gregorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006129
2 1981122
3 198590
4 199166
5 200665
6 199762
7 198356
8 200556
9 200454
10
Divergent racial trends in mortality from systemic lupus erythematosus.
199549
11 201646
12 199445
13 201041
14 198241
15 198838
16 199933
17
Race, stage of disease, and survival with cervical cancer.
199233
18 200431
19 201630
20 200429

About David I. Gregorio

David I. Gregorio is a scholar working on Oncology, Epidemiology, General Health Professions, Public Health, Environmental and Occupational Health and Cancer Research, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (17 papers), Data-Driven Disease Surveillance (11 papers), Colorectal Cancer Screening and Detection (9 papers), Breast Cancer Treatment Studies (4 papers), Public Health Policies and Education (3 papers), Blood donation and transfusion practices (3 papers), Cervical Cancer and HPV Research (2 papers) and Air Quality and Health Impacts (2 papers). The work is most often cited by research in Health (100 citations), Epidemiology (367 citations), Oncology (262 citations), Modeling and Simulation (35 citations) and Public Health, Environmental and Occupational Health (194 citations). David I. Gregorio has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Martin Kulldorff, Laurie M DeChello, Lan Huang, Lionel S. Lewis, Richard A. Wanner, Stephen J. Walsh, Garry Lapidus, Arthur M. Michalek, K. Michael Cummings and Saxon Graham. Their work appears in journals such as American Journal of Public Health, International Journal of Health Geographics, Vox Sanguinis, Spatial and Spatio-temporal Epidemiology and Annals 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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