Hannah Kisselburgh

540 total citations
7 papers, 214 citations indexed

About

Hannah Kisselburgh is a scholar working on Food Science, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, Hannah Kisselburgh has authored 7 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Food Science, 3 papers in Infectious Diseases and 3 papers in Agronomy and Crop Science. Recurrent topics in Hannah Kisselburgh's work include Viral gastroenteritis research and epidemiology (3 papers), Salmonella and Campylobacter epidemiology (3 papers) and Food Safety and Hygiene (3 papers). Hannah Kisselburgh is often cited by papers focused on Viral gastroenteritis research and epidemiology (3 papers), Salmonella and Campylobacter epidemiology (3 papers) and Food Safety and Hygiene (3 papers). Hannah Kisselburgh collaborates with scholars based in United States and Canada. Hannah Kisselburgh's co-authors include Patricia M. Griffin, LaTonia C. Richardson, Daniel C. Payne, Danielle M. Tack, Aimee Geissler, Ian T. Williams, Karen Blickenstaff, Sharon L. Seelman, Maha N. Hajmeer and Tyann Blessington and has published in prestigious journals such as Clinical Infectious Diseases, Emerging infectious diseases and Epidemiology and Infection.

In The Last Decade

Hannah Kisselburgh

7 papers receiving 207 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hannah Kisselburgh United States	6	85	84	62	60	25	7	214
Morgan N. Schroeder United States	6	88 1.0×	46 0.5×	42 0.7×	56 0.9×	7 0.3×	11	161
Katherine D. Arends United States	5	136 1.6×	68 0.8×	76 1.2×	74 1.2×	6 0.2×	6	194
Stephanie Defibaugh-Chávez United States	6	124 1.5×	22 0.3×	36 0.6×	33 0.6×	7 0.3×	7	178
Vincenza Prencipe Italy	14	217 2.6×	54 0.6×	181 2.9×	25 0.4×	10 0.4×	25	351
Marina S. Kunda Russia	9	39 0.5×	35 0.4×	43 0.7×	22 0.4×	11 0.4×	40	201
Vishnu Chaturvedi United States	10	41 0.5×	97 1.2×	11 0.2×	77 1.3×	18 0.7×	18	296
Lori M. Gladney United States	9	160 1.9×	24 0.3×	132 2.1×	109 1.8×	16 0.6×	15	324
Qiuxia Ma China	8	102 1.2×	66 0.8×	28 0.5×	85 1.4×	7 0.3×	9	245
Astghik Pepoyan Armenia	14	139 1.6×	45 0.5×	28 0.5×	20 0.3×	38 1.5×	44	384
Iris E. Valentin-Bon United States	8	151 1.8×	36 0.4×	83 1.3×	48 0.8×	20 0.8×	9	329

Countries citing papers authored by Hannah Kisselburgh

Since Specialization

Citations

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

Fields of papers citing papers by Hannah Kisselburgh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah Kisselburgh. 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 Hannah Kisselburgh. The network helps show where Hannah Kisselburgh may publish in the future.

Co-authorship network of co-authors of Hannah Kisselburgh

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah Kisselburgh. A scholar is included among the top collaborators of Hannah Kisselburgh 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 Hannah Kisselburgh. Hannah Kisselburgh 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

White, Alice E., et al.. (2022). Using Outbreak Data for Hypothesis Generation: A Vehicle Prediction Tool for Disease Outbreaks Caused by Salmonella and Shiga Toxin–Producing Escherichia coli. Foodborne Pathogens and Disease. 19(4). 281–289. 1 indexed citations

Koski, Lia, Hannah Kisselburgh, Rachel Hulkower, et al.. (2022). Foodborne illness outbreaks linked to unpasteurised milk and relationship to changes in state laws – United States, 1998–2018. Epidemiology and Infection. 150. e183–e183. 12 indexed citations

Tack, Danielle M., Hannah Kisselburgh, LaTonia C. Richardson, et al.. (2021). Shiga Toxin-Producing Escherichia coli Outbreaks in the United States, 2010–2017. Microorganisms. 9(7). 1529–1529. 52 indexed citations

Marshall, Katherine E., Sharon L. Seelman, Marianne K. Fatica, et al.. (2020). Lessons Learned from a Decade of Investigations of Shiga Toxin–Producing Escherichia coli Outbreaks Linked to Leafy Greens, United States and Canada. Emerging infectious diseases. 26(10). 2319–2328. 88 indexed citations

Ebel, Eric D., et al.. (2019). Assessing the maximum size of annual foodborne outbreaks in the United States: An analysis of 1973–2016 outbreaks. Microbial Risk Analysis. 12. 20–26. 6 indexed citations

Marsh, Zachary, Minesh Shah, Mary E. Wikswo, et al.. (2018). Epidemiology of Foodborne Norovirus Outbreaks – United States, 2009–2015. Food Safety. 6(2). 58–66. 36 indexed citations

Griese, Stephanie E., Hannah Kisselburgh, Erin Vinoski Thomas, et al.. (2017). Pediatric Botulism and Use of Equine Botulinum Antitoxin in Children: A Systematic Review. Clinical Infectious Diseases. 66(suppl_1). S17–S29. 19 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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