David E. Lucero

601 total citations
23 papers, 368 citations indexed

About

David E. Lucero is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Insect Science. According to data from OpenAlex, David E. Lucero has authored 23 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 6 papers in Public Health, Environmental and Occupational Health and 6 papers in Insect Science. Recurrent topics in David E. Lucero's work include Trypanosoma species research and implications (8 papers), Insect symbiosis and bacterial influences (6 papers) and Pneumonia and Respiratory Infections (4 papers). David E. Lucero is often cited by papers focused on Trypanosoma species research and implications (8 papers), Insect symbiosis and bacterial influences (6 papers) and Pneumonia and Respiratory Infections (4 papers). David E. Lucero collaborates with scholars based in United States, Bolivia and Serbia. David E. Lucero's co-authors include Lori Stevens, J.C. Pizarro, Neil M. Vora, Patricia L. Dorn, Jay K. Varma, David Lee, John H. Klotz, Justin O. Schmidt, Stephen A. Klotz and Antonieta Rodas and has published in prestigious journals such as PLoS ONE, CHEST Journal and Medicine & Science in Sports & Exercise.

In The Last Decade

David E. Lucero

21 papers receiving 359 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 E. Lucero United States 10 280 153 118 59 37 23 368
Olivia Almendares United States 7 332 1.2× 78 0.5× 110 0.9× 29 0.5× 60 1.6× 17 436
Sofía Duque Colombia 11 135 0.5× 18 0.1× 135 1.1× 108 1.8× 99 2.7× 54 411
Tran Thi Diem Thuy Vietnam 10 49 0.2× 62 0.4× 355 3.0× 21 0.4× 229 6.2× 14 466
Robinson Pacheco Colombia 10 150 0.5× 21 0.1× 248 2.1× 38 0.6× 79 2.1× 51 395
Ira Gjenero-Margan Croatia 13 170 0.6× 22 0.1× 207 1.8× 44 0.7× 261 7.1× 38 508
Sassan Noazin United States 10 325 1.2× 31 0.2× 608 5.2× 100 1.7× 78 2.1× 14 706
Joanna S. Herman United Kingdom 9 49 0.2× 100 0.7× 66 0.6× 61 1.0× 84 2.3× 17 320
Luca Basile Spain 10 369 1.3× 36 0.2× 191 1.6× 114 1.9× 46 1.2× 30 464
Mario Javier Olivera Colombia 14 308 1.1× 67 0.4× 301 2.6× 187 3.2× 145 3.9× 69 656
Sugihiro Hamaguchi Japan 10 197 0.7× 6 0.0× 70 0.6× 70 1.2× 98 2.6× 44 410

Countries citing papers authored by David E. Lucero

Since Specialization
Citations

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

Fields of papers citing papers by David E. Lucero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David E. Lucero

This figure shows the co-authorship network connecting the top 25 collaborators of David E. Lucero. A scholar is included among the top collaborators of David E. Lucero 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 E. Lucero. David E. Lucero 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.
Lucero, David E., et al.. (2020). Lung Compliance in a Case Series of Four COVID-19 Patients at a Rural Institution. Cureus. 12(7). e9472–e9472. 2 indexed citations
2.
Wu, Melody, Chaorui Huang, Gretchen M. Culp, et al.. (2020). Community-setting pneumonia-associated hospitalizations by level of urbanization—New York City versus other areas of New York State, 2010–2014. PLoS ONE. 15(12). e0244367–e0244367. 3 indexed citations
3.
4.
Kennedy, Jordan L., Dana L. Haberling, Chaorui Huang, et al.. (2019). Infectious Disease Hospitalizations. CHEST Journal. 156(2). 255–268. 33 indexed citations
5.
Vora, Neil M., et al.. (2018). Geospatial cluster analyses of pneumonia-associated hospitalisations among adults in New York City, 2010–2014. Epidemiology and Infection. 147. e51–e51. 4 indexed citations
6.
Furlan, Karina, et al.. (2018). Role of fine‐needle aspiration in post liver transplant patients: A clinical/cytological review. Diagnostic Cytopathology. 47(5). 434–438. 1 indexed citations
7.
Lucero, David E., Sharon Balter, Robert Fitzhenry, et al.. (2018). Sensitivity and Positive Predictive Value of Death Certificate Data Among Deaths Caused by Legionnaires’ Disease in New York City, 2008-2013. Public Health Reports. 133(5). 578–583. 3 indexed citations
8.
Lucero, David E., et al.. (2017). Reporting of False Data During Ebola Virus Disease Active Monitoring—New York City, January 1, 2015-December 29, 2015. Health Security. 15(5). 509–518. 5 indexed citations
9.
Lee, David, et al.. (2017). Burden of Adult Community-acquired, Health-care-Associated, Hospital-Acquired, and Ventilator-Associated Pneumonia. CHEST Journal. 152(5). 930–942. 58 indexed citations
10.
Hogan, Patrick, et al.. (2017). Giant epidermal inclusion cyst masquerading as a soft tissue sarcoma. Journal of Pediatric Surgery Case Reports. 29. 74–77.
11.
Lucero, David E., et al.. (2016). Spatiotemporal Co-occurrence of Flanders and West Nile Viruses WithinCulexPopulations in Shelby County, Tennessee. Journal of Medical Entomology. 53(3). 526–532. 3 indexed citations
12.
Stevens, Lori, María Carlota Monroy, Antonieta Rodas, et al.. (2015). Migration and Gene Flow Among Domestic Populations of the Chagas Insect Vector Triatoma dimidiata (Hemiptera: Reduviidae) Detected by Microsatellite Loci. Journal of Medical Entomology. 52(3). 419–428. 31 indexed citations
13.
Lucero, David E., et al.. (2014). Sources of Blood Meals of Sylvatic Triatoma guasayana near Zurima, Bolivia, Assayed with qPCR and 12S Cloning. PLoS neglected tropical diseases. 8(12). e3365–e3365. 11 indexed citations
14.
Stevens, Lori, et al.. (2013). Household Model of Chagas Disease Vectors (Hemiptera: Reduviidae) Considering Domestic, Peridomestic, and Sylvatic Vector Populations. Journal of Medical Entomology. 50(4). 907–915. 12 indexed citations
15.
Lucero, David E., L. A. Morrissey, Antonieta Rodas, et al.. (2013). Ecohealth Interventions Limit Triatomine Reinfestation following Insecticide Spraying in La Brea, Guatemala. American Journal of Tropical Medicine and Hygiene. 88(4). 630–637. 46 indexed citations
16.
Stevens, Lori, Patricia L. Dorn, David E. Lucero, et al.. (2012). Vector Blood Meals and Chagas Disease Transmission Potential, United States. Emerging infectious diseases. 18(4). 646–649. 44 indexed citations
17.
Stevens, Lori, Patricia L. Dorn, Justin O. Schmidt, et al.. (2011). Kissing Bugs. The Vectors of Chagas. Advances in Parasitology. 75. 169–192. 36 indexed citations
18.
Pizarro, J.C., David E. Lucero, & Lori Stevens. (2007). PCR reveals significantly higher rates of Trypanosoma cruzi infection than microscopy in the Chagas vector, Triatoma infestans: High rates found in Chuquisaca, Bolivia. BMC Infectious Diseases. 7(1). 66–66. 39 indexed citations
19.
Pizarro, J.C., David E. Lucero, & Lori Stevens. (2007). A method for the identification of guinea pig blood meal in the Chagas disease vector, Triatoma infestans. PubMed. 6(1). 1–1. 28 indexed citations
20.

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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