Jeri‐Carol Crumpton

588 total citations
7 papers, 262 citations indexed

About

Jeri‐Carol Crumpton is a scholar working on Epidemiology, Agronomy and Crop Science and Infectious Diseases. According to data from OpenAlex, Jeri‐Carol Crumpton has authored 7 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Agronomy and Crop Science and 4 papers in Infectious Diseases. Recurrent topics in Jeri‐Carol Crumpton's work include Influenza Virus Research Studies (7 papers), Animal Disease Management and Epidemiology (5 papers) and Respiratory viral infections research (4 papers). Jeri‐Carol Crumpton is often cited by papers focused on Influenza Virus Research Studies (7 papers), Animal Disease Management and Epidemiology (5 papers) and Respiratory viral infections research (4 papers). Jeri‐Carol Crumpton collaborates with scholars based in United States, South Korea and France. Jeri‐Carol Crumpton's co-authors include Richard J. Webby, Ashley Webb, Adam Rubrum, Mariette Ducatez, David Wang, Marie Gramer, Daniel Darnell, Randy R. Simonson, Ben M. Hause and James Lowe and has published in prestigious journals such as Scientific Reports, The Journal of Infectious Diseases and Emerging infectious diseases.

In The Last Decade

Jeri‐Carol Crumpton

7 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeri‐Carol Crumpton United States	7	240	166	99	38	26	7	262
Hejiang Wei China	11	341 1.4×	118 0.7×	185 1.9×	47 1.2×	24 0.9×	35	388
Shintaro Shichinohe Japan	12	295 1.2×	144 0.9×	165 1.7×	72 1.9×	33 1.3×	22	363
Udayan Joseph Singapore	7	194 0.8×	84 0.5×	96 1.0×	30 0.8×	23 0.9×	7	251
Quanjiao Chen China	10	319 1.3×	165 1.0×	154 1.6×	90 2.4×	22 0.8×	19	363
Chuansong Quan China	9	168 0.7×	78 0.5×	125 1.3×	36 0.9×	18 0.7×	16	232
Lizheng Guan Japan	9	264 1.1×	160 1.0×	162 1.6×	40 1.1×	31 1.2×	18	292
Helena Jiřincová Czechia	9	202 0.8×	90 0.5×	140 1.4×	26 0.7×	44 1.7×	22	305
Tri Bhakti Usman Australia	6	260 1.1×	97 0.6×	83 0.8×	52 1.4×	45 1.7×	7	280
Felipa Castro-Peralta United States	5	218 0.9×	131 0.8×	143 1.4×	33 0.9×	51 2.0×	9	311
Gounalan Pavade France	5	194 0.8×	155 0.9×	131 1.3×	17 0.4×	33 1.3×	7	245

Countries citing papers authored by Jeri‐Carol Crumpton

Since Specialization

Citations

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

Fields of papers citing papers by Jeri‐Carol Crumpton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeri‐Carol Crumpton. 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 Jeri‐Carol Crumpton. The network helps show where Jeri‐Carol Crumpton may publish in the future.

Co-authorship network of co-authors of Jeri‐Carol Crumpton

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

All Works

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7 of 7 papers shown

Kristensen, Charlotte, Jeri‐Carol Crumpton, Ashley Webb, et al.. (2023). Experimental infection of pigs and ferrets with “pre-pandemic,” human-adapted, and swine-adapted variants of the H1N1pdm09 influenza A virus reveals significant differences in viral dynamics and pathological manifestations. PLoS Pathogens. 19(12). e1011838–e1011838. 9 indexed citations

Wong, Sook‐San, Susu Duan, Jennifer DeBeauchamp, et al.. (2017). The immune correlates of protection for an avian influenza H5N1 vaccine in the ferret model using oil-in-water adjuvants. Scientific Reports. 7(1). 44727–44727. 23 indexed citations

Wong, Sook‐San, Bryan S. Kaplan, Mark Zanin, et al.. (2015). Impact of Adjuvants on the Immunogenicity and Efficacy of Split-Virion H7N9 Vaccine in Ferrets. The Journal of Infectious Diseases. 212(4). 542–551. 19 indexed citations

Inagaki, Kengo, Min‐Suk Song, Jeri‐Carol Crumpton, et al.. (2015). Correlation Between the Interval of Influenza Virus Infectivity and Results of Diagnostic Assays in a Ferret Model. The Journal of Infectious Diseases. 213(3). 407–410. 18 indexed citations

Wong, Sook‐San, Trushar Jeevan, Lisa Kercher, et al.. (2014). A single dose of whole inactivated H7N9 influenza vaccine confers protection from severe disease but not infection in ferrets. Vaccine. 32(35). 4571–4577. 29 indexed citations

Ducatez, Mariette, Ashley Webb, Jeri‐Carol Crumpton, & Richard J. Webby. (2012). Long‐term vaccine‐induced heterologous protection against H5N1 influenza viruses in the ferret model. Influenza and Other Respiratory Viruses. 7(4). 506–512. 7 indexed citations

Ducatez, Mariette, Ben M. Hause, Evelyn Stigger-Rosser, et al.. (2011). Multiple Reassortment between Pandemic (H1N1) 2009 and Endemic Influenza Viruses in Pigs, United States. Emerging infectious diseases. 17(9). 1624–1629. 157 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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