David I. Gregorio

1.9k total citations
58 papers, 1.5k citations indexed

About

David I. Gregorio is a scholar working on Oncology, Epidemiology and General Health Professions. According to data from OpenAlex, David I. Gregorio has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 20 papers in Epidemiology and 11 papers in General Health Professions. Recurrent topics in David I. Gregorio's work include Global Cancer Incidence and Screening (20 papers), Colorectal Cancer Screening and Detection (15 papers) and Data-Driven Disease Surveillance (15 papers). David I. Gregorio is often cited by papers focused on Global Cancer Incidence and Screening (20 papers), Colorectal Cancer Screening and Detection (15 papers) and Data-Driven Disease Surveillance (15 papers). David I. Gregorio collaborates with scholars based in United States, Israel and United Kingdom. David I. Gregorio's co-authors include Martin Kulldorff, Laurie M DeChello, Lan Huang, Lionel S. Lewis, Richard A. Wanner, Stephen J. Walsh, Garry Lapidus, John R. Marshall, K. Michael Cummings and Arthur M. Michalek and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and JNCI Journal of the National Cancer Institute.

In The Last Decade

David I. Gregorio

57 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David I. Gregorio United States 24 439 373 291 217 214 58 1.5k
Armin D. Weinberg United States 23 217 0.5× 409 1.1× 340 1.2× 153 0.7× 346 1.6× 73 1.7k
Bassam Dahman United States 30 469 1.1× 555 1.5× 296 1.0× 391 1.8× 333 1.6× 109 2.8k
Brendan Collins United Kingdom 23 261 0.6× 398 1.1× 349 1.2× 170 0.8× 336 1.6× 95 2.0k
Sun Hee Rim United States 22 285 0.6× 853 2.3× 196 0.7× 279 1.3× 240 1.1× 57 1.6k
Folakemi T. Odedina United States 21 211 0.5× 586 1.6× 244 0.8× 176 0.8× 247 1.2× 83 1.4k
Lucy A. Peipins United States 24 261 0.6× 902 2.4× 311 1.1× 142 0.7× 282 1.3× 56 2.2k
Judith Swan United States 15 519 1.2× 1.4k 3.8× 221 0.8× 158 0.7× 292 1.4× 30 2.1k
Steven Leadbetter United States 19 238 0.5× 629 1.7× 299 1.0× 124 0.6× 287 1.3× 26 1.7k
Carol P. Somkin United States 27 308 0.7× 1.0k 2.7× 469 1.6× 332 1.5× 519 2.4× 50 2.1k
Rhian Daniel United Kingdom 24 360 0.8× 126 0.3× 207 0.7× 392 1.8× 246 1.1× 63 2.6k

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-authorship network of co-authors of David I. Gregorio

This figure shows the co-authorship network connecting the top 25 collaborators of David I. Gregorio. A scholar is included among the top collaborators of David I. Gregorio 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 David I. Gregorio. David I. Gregorio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rybnikova, Nataliya, et al.. (2018). Kernel density analysis reveals a halo pattern of breast cancer incidence in Connecticut. Spatial and Spatio-temporal Epidemiology. 26. 143–151. 11 indexed citations
2.
Mancuso, Renzo, Anna Martínez‐Muriana, David I. Gregorio, et al.. (2016). Neuregulin-1 promotes functional improvement by enhancing collateral sprouting in SOD1G93A ALS mice and after partial muscle denervation. Neurobiology of Disease. 95. 168–178. 45 indexed citations
3.
Portnov, Boris A., et al.. (2016). Light at night and breast cancer incidence in Connecticut: An ecological study of age group effects. The Science of The Total Environment. 572. 1020–1024. 29 indexed citations
4.
Swede, Helen, Dejana Braithwaite, Linda S. Cook, et al.. (2016). Mortality risk from comorbidities independent of triple-negative breast cancer status: NCI-SEER-based cohort analysis. Cancer Causes & Control. 27(5). 627–636. 11 indexed citations
5.
Swede, Helen, Biree Andemariam, David I. Gregorio, et al.. (2014). Adverse events in cancer patients with sickle cell trait or disease: case reports. Genetics in Medicine. 17(3). 237–241. 2 indexed citations
6.
Swede, Helen, David I. Gregorio, Susan Tannenbaum, et al.. (2011). Prevalence and Prognostic Role of Triple-Negative Breast Cancer by Race: A Surveillance Study. Clinical Breast Cancer. 11(5). 332–341. 21 indexed citations
7.
Swede, Helen, et al.. (2009). Patterns of HER2 testing in the management of primary breast cancer. Cancer Epidemiology. 33(2). 113–117. 9 indexed citations
8.
Gregorio, David I., et al.. (2009). Who's assessing tobacco use in cancer clinical trials?. Nicotine & Tobacco Research. 11(11). 1354–1358. 6 indexed citations
9.
Dauser, Deborah, Ravinder J. Singh, James S. Kesner, et al.. (2007). Marital status and variability in cortisol excretion in postmenopausal women. Biological Psychology. 77(1). 32–38. 12 indexed citations
10.
Huang, Lan, Martin Kulldorff, & David I. Gregorio. (2006). A Spatial Scan Statistic for Survival Data. Biometrics. 63(1). 109–118. 129 indexed citations
11.
Gregorio, David I., et al.. (2005). Lumping or splitting: seeking the preferred areal unit for health geography studies. International Journal of Health Geographics. 4(1). 6–6. 56 indexed citations
12.
Gregorio, David I., et al.. (2004). Geographic distribution of prostate cancer incidence in the era of PSA testing, Connecticut, 1984 to 1998. Urology. 63(1). 78–82. 29 indexed citations
13.
Gregorio, David I., et al.. (2003). Breast Cancer Surveillance using Gridded Population Units, Connecticut, 1992 to 1995. Annals of Epidemiology. 13(1). 42–49. 9 indexed citations
14.
Gregorio, David I., et al.. (2001). Geographical Differences in Primary Therapy for Early-Stage Breast Cancer. Annals of Surgical Oncology. 8(10). 844–849. 23 indexed citations
15.
Gregorio, David I., et al.. (1999). Incidental Findings in a Federally-Sponsored Cancer Screening Program. Journal of Community Health. 24(4). 305–312. 3 indexed citations
16.
Gregorio, David I.. (1999). Refutation and Conjecture around Consensus Breast Cancer Screening Guidelines. Journal of Public Health Management and Practice. 5(6). 91–98. 1 indexed citations
17.
Beausoleil, Janet L., et al.. (1994). The Influence of Education and Experience on Ethical Attitudes in Neonatal Intensive Care. Medical Decision Making. 14(4). 403–408. 5 indexed citations
18.
Gregorio, David I., et al.. (1992). Stomach cancer patterns in European immigrants to Connecticut, United States. Cancer Causes & Control. 3(3). 215–221. 4 indexed citations
19.
Lapidus, Garry, et al.. (1990). Misclassification of childhood homicide on death certificates.. American Journal of Public Health. 80(2). 213–214. 23 indexed citations
20.
Linden, Jeanne V., et al.. (1988). An Estimate of Blood Donor Eligibility in the General Population. Vox Sanguinis. 54(2). 96–100. 38 indexed citations

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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