Michelle Feist

986 total citations
9 papers, 188 citations indexed

About

Michelle Feist is a scholar working on Epidemiology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Michelle Feist has authored 9 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Infectious Diseases and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Michelle Feist's work include Influenza Virus Research Studies (3 papers), Respiratory viral infections research (3 papers) and Mosquito-borne diseases and control (3 papers). Michelle Feist is often cited by papers focused on Influenza Virus Research Studies (3 papers), Respiratory viral infections research (3 papers) and Mosquito-borne diseases and control (3 papers). Michelle Feist collaborates with scholars based in United States. Michelle Feist's co-authors include Rachelle Boulton, Karen Martin, Lyn Finelli, Ashley Fowlkes, Kate Goodin, Winfred Wu, Lynnette Brammer, Tracy K. Miller, Edward Chao and Meghan L. Harris and has published in prestigious journals such as Emerging infectious diseases, MMWR Morbidity and Mortality Weekly Report and The Lancet Respiratory Medicine.

In The Last Decade

Michelle Feist

9 papers receiving 185 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michelle Feist United States	6	106	89	53	28	28	9	188
Amanda Semper United Kingdom	7	41 0.4×	238 2.7×	44 0.8×	56 2.0×	38 1.4×	14	291
Mariana Casal United States	9	69 0.7×	105 1.2×	75 1.4×	49 1.8×	18 0.6×	13	199
Inga Ivaškevičienė Lithuania	8	110 1.0×	113 1.3×	55 1.0×	55 2.0×	14 0.5×	17	231
Quan Minh Tran United States	8	31 0.3×	163 1.8×	49 0.9×	153 5.5×	23 0.8×	16	249
John E. Tueller United States	4	182 1.7×	86 1.0×	30 0.6×	63 2.3×	24 0.9×	6	243
María Ordobás Spain	5	221 2.1×	50 0.6×	86 1.6×	171 6.1×	26 0.9×	6	326
Paula Kriner United States	7	54 0.5×	99 1.1×	59 1.1×	31 1.1×	3 0.1×	10	154
Saraiva da Cunha Portugal	8	58 0.5×	81 0.9×	94 1.8×	56 2.0×	5 0.2×	21	179
Е. Б. Ежлова Russia	8	70 0.7×	103 1.2×	13 0.2×	49 1.8×	61 2.2×	41	198
Subhra Subhadra India	7	39 0.4×	159 1.8×	20 0.4×	28 1.0×	10 0.4×	20	240

Countries citing papers authored by Michelle Feist

Since Specialization

Citations

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

Fields of papers citing papers by Michelle Feist

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Feist

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

Feist, Michelle, et al.. (2017). Utility of Outpatient Syndromic Data for Monitoring Influenza-like Illness. Online Journal of Public Health Informatics. 9(1). 1 indexed citations

Midgley, Claire M., Holly M. Biggs, Michelle Feist, et al.. (2017). Notes from the Field: Severe Human Metapneumovirus Infections — North Dakota, 2016. MMWR Morbidity and Mortality Weekly Report. 66(18). 486–488. 3 indexed citations

Campion, Mitch, Laura Cronquist, Michelle Feist, et al.. (2016). Predicting West Nile Virus (WNV) occurrences in North Dakota using data mining techniques. 310–317. 7 indexed citations

Fowlkes, Ashley, Andrea Steffens, Lisa McHugh, et al.. (2015). Incidence of medically attended influenza during pandemic and post-pandemic seasons through the Influenza Incidence Surveillance Project, 2009–13. The Lancet Respiratory Medicine. 3(9). 709–718. 48 indexed citations

Johnson, Diep K. Hoang, Elizabeth Schiffman, Jeffrey P. Davis, et al.. (2015). Human Infection withEhrlichia muris–like Pathogen, United States, 2007–20131. Emerging infectious diseases. 21(10). 1794–1799. 53 indexed citations

Fowlkes, Ashley, Sharoda Dasgupta, Edward Chao, et al.. (2012). Estimating influenza incidence and rates of influenza‐like illness in the outpatient setting. Influenza and Other Respiratory Viruses. 7(5). 694–700. 60 indexed citations

Borchardt, Stephanie M., et al.. (2010). Epidemiology of West Nile Virus in the Highly Epidemic State of North Dakota, 2002–2007. Public Health Reports. 125(2). 246–249. 8 indexed citations

Neitzel, David F., Melissa M. Kemperman, Michelle Feist, et al.. (2009). False-positive results with a commercially available West Nile virus immunoglobulin M assay - United States, 2008.. MMWR Morbidity and Mortality Weekly Report. 58(17). 458–460. 7 indexed citations

Feist, Michelle, et al.. (2007). Building a System of Excellent High Schools: A Framework and Tool for Discussion and Action.. 1 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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