Marcella De Geronimo

581 total citations
9 papers, 439 citations indexed

About

Marcella De Geronimo is a scholar working on Epidemiology, Infectious Diseases and Health. According to data from OpenAlex, Marcella De Geronimo has authored 9 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 3 papers in Infectious Diseases and 2 papers in Health. Recurrent topics in Marcella De Geronimo's work include Influenza Virus Research Studies (3 papers), Respiratory viral infections research (2 papers) and Acute Ischemic Stroke Management (2 papers). Marcella De Geronimo is often cited by papers focused on Influenza Virus Research Studies (3 papers), Respiratory viral infections research (2 papers) and Acute Ischemic Stroke Management (2 papers). Marcella De Geronimo collaborates with scholars based in United States, Australia and Germany. Marcella De Geronimo's co-authors include Christine C. Ginocchio, James M. Crawford, Lei Zhang, Madhavi Lotlikar, Ryhana Manji, Yosef Dlugacz, Thomas Kwiatkowski, Paul Wright, Richard Libman and Robert J. Stallone and has published in prestigious journals such as Stroke, Annals of Surgery and American Journal of Obstetrics and Gynecology.

In The Last Decade

Marcella De Geronimo

9 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcella De Geronimo United States	6	350	142	53	42	36	9	439
S. Lindstrom United States	5	559 1.6×	229 1.6×	34 0.6×	118 2.8×	18 0.5×	6	617
Rachel Herlihy United States	14	252 0.7×	267 1.9×	124 2.3×	23 0.5×	111 3.1×	29	597
Ruta Sharangpani United States	7	357 1.0×	131 0.9×	16 0.3×	12 0.3×	15 0.4×	9	477
Danying Yan China	12	206 0.6×	223 1.6×	34 0.6×	12 0.3×	64 1.8×	23	402
Agron Plevneshi Canada	9	516 1.5×	145 1.0×	21 0.4×	14 0.3×	25 0.7×	13	605
Alyssa Fiore United States	3	342 1.0×	124 0.9×	14 0.3×	10 0.2×	68 1.9×	4	391
Cristian Launes Spain	16	444 1.3×	237 1.7×	116 2.2×	24 0.6×	12 0.3×	58	682
Lianhe Lu China	3	407 1.2×	215 1.5×	18 0.3×	22 0.5×	11 0.3×	8	499
Andrea H. L. Bruning Netherlands	14	260 0.7×	234 1.6×	91 1.7×	12 0.3×	8 0.2×	21	470
Anne Bett United Kingdom	7	348 1.0×	188 1.3×	19 0.4×	13 0.3×	8 0.2×	9	440

Countries citing papers authored by Marcella De Geronimo

Since Specialization

Citations

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

Fields of papers citing papers by Marcella De Geronimo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcella De Geronimo. 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 Marcella De Geronimo. The network helps show where Marcella De Geronimo may publish in the future.

Co-authorship network of co-authors of Marcella De Geronimo

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

All Works

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9 of 9 papers shown

Jarrett, Mark, et al.. (2020). Clinical Mortality in a Large COVID-19 Cohort: Observational Study. Journal of Medical Internet Research. 22(9). e23565–e23565. 10 indexed citations

Jarrett, Mark, et al.. (2020). Clinical Mortality Review in a Large COVID-19 Cohort. medRxiv. 2 indexed citations

Wright, Paul, et al.. (2016). Improving Transfer Times for Acute Ischemic Stroke Patients to a Comprehensive Stroke Center. Journal of Stroke and Cerebrovascular Diseases. 26(1). 192–195. 26 indexed citations

Katz, Jeffrey M., et al.. (2012). Abstract 2319: Improving Inter-facility Transfer Times for Acute Ischemic Stroke Patients: The Stroke Rescue Program. Stroke. 43(suppl_1). 1 indexed citations

Dlugacz, Yosef, Adiel Fleischer, Maria Torroella Carney, et al.. (2012). 2009 H1N1 Vaccination by Pregnant Women During the 2009–10 H1N1 Influenza Pandemic. Obstetrical & Gynecological Survey. 67(8). 466–467. 3 indexed citations

Dlugacz, Yosef, Adiel Fleischer, Maria Torroella Carney, et al.. (2011). 2009 H1N1 vaccination by pregnant women during the 2009-10 H1N1 influenza pandemic. American Journal of Obstetrics and Gynecology. 206(4). 339.e1–339.e8. 35 indexed citations

Ravikumar, Thanjavur S., Corrado P. Marini, Glenn Steele, et al.. (2010). A Validated Value-Based Model to Improve Hospital-Wide Perioperative Outcomes. Annals of Surgery. 252(3). 486–498. 35 indexed citations

Crawford, James M., Robert J. Stallone, Fan Zhang, et al.. (2009). Laboratory Surge Response to Pandemic (H1N1) 2009 Outbreak, New York City Metropolitan Area, USA. Emerging infectious diseases. 16(1). 8–13. 41 indexed citations

Ginocchio, Christine C., Lei Zhang, Ryhana Manji, et al.. (2009). Evaluation of multiple test methods for the detection of the novel 2009 influenza A (H1N1) during the New York City outbreak. Journal of Clinical Virology. 45(3). 191–195. 286 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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