Megan Jehn

2.4k total citations
48 papers, 1.7k citations indexed

About

Megan Jehn is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology. According to data from OpenAlex, Megan Jehn has authored 48 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Modeling and Simulation, 11 papers in Infectious Diseases and 10 papers in Epidemiology. Recurrent topics in Megan Jehn's work include COVID-19 epidemiological studies (14 papers), Influenza Virus Research Studies (7 papers) and Blood Pressure and Hypertension Studies (7 papers). Megan Jehn is often cited by papers focused on COVID-19 epidemiological studies (14 papers), Influenza Virus Research Studies (7 papers) and Blood Pressure and Hypertension Studies (7 papers). Megan Jehn collaborates with scholars based in United States, Mexico and China. Megan Jehn's co-authors include Jeanne M. Clark, Eliseo Güallar, Alexandra Brewis, Özgür M. Araz, Lawrence J. Appel, Deborah Rohm Young, Thomas P. Erlinger, Sharmeel K. Wasan, Jeanne Charleston and Donna Rhodes and has published in prestigious journals such as PLoS ONE, Diabetes Care and American Journal of Epidemiology.

In The Last Decade

Megan Jehn

47 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Megan Jehn United States 22 331 307 291 225 215 48 1.7k
Ala Alwan Switzerland 20 441 1.3× 78 0.3× 110 0.4× 101 0.4× 250 1.2× 47 2.1k
Katja van den Hurk Netherlands 21 277 0.8× 282 0.9× 73 0.3× 130 0.6× 95 0.4× 90 1.4k
Richard Jacques United Kingdom 28 388 1.2× 68 0.2× 157 0.5× 177 0.8× 239 1.1× 96 2.8k
Femke Atsma Netherlands 23 532 1.6× 285 0.9× 206 0.7× 163 0.7× 124 0.6× 85 2.4k
Marlies Noordzij Netherlands 25 364 1.1× 94 0.3× 274 0.9× 154 0.7× 214 1.0× 56 3.0k
Susan A. Hall United States 28 237 0.7× 164 0.5× 74 0.3× 264 1.2× 375 1.7× 75 2.9k
Amir Kasaeian Iran 25 335 1.0× 105 0.3× 107 0.4× 125 0.6× 178 0.8× 141 1.6k
Dorit Nitzan Israel 29 333 1.0× 55 0.2× 212 0.7× 461 2.0× 1.3k 5.9× 74 3.0k
Jan Van den Broeck Norway 26 501 1.5× 86 0.3× 765 2.6× 183 0.8× 186 0.9× 62 2.1k
Alcione Miranda dos Santos Brazil 22 352 1.1× 52 0.2× 71 0.2× 179 0.8× 181 0.8× 127 1.5k

Countries citing papers authored by Megan Jehn

Since Specialization
Citations

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

Fields of papers citing papers by Megan Jehn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Jehn

This figure shows the co-authorship network connecting the top 25 collaborators of Megan Jehn. A scholar is included among the top collaborators of Megan Jehn 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 Megan Jehn. Megan Jehn 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.
Jehn, Megan, et al.. (2024). Effectiveness of do-it-yourself air cleaners in reducing exposure to respiratory aerosols in US classrooms: A longitudinal study of public schools. Building and Environment. 258. 111603–111603. 2 indexed citations
2.
Williams, Stacy, Aaron McDonald, Valerie Harris, et al.. (2023). Serological survey to estimate SARS-CoV-2 infection and antibody seroprevalence at a large public university: A cross-sectional study. BMJ Open. 13(8). e072627–e072627. 3 indexed citations
3.
Kennedy, Eric B., et al.. (2022). Prospective sampling bias in COVID-19 recruitment methods: experimental evidence from a national randomized survey testing recruitment materials. BMC Medical Research Methodology. 22(1). 251–251. 5 indexed citations
4.
Khan, Sana, Leslie V. Farland, Melanie L. Bell, et al.. (2022). Elucidating symptoms of COVID-19 illness in the Arizona CoVHORT: a longitudinal cohort study. BMJ Open. 12(1). e053403–e053403. 3 indexed citations
5.
Pogreba-Brown, Kristen, et al.. (2022). Consequences of COVID-19 on adolescents in Arizona: A longitudinal study protocol. Frontiers in Public Health. 10. 945089–945089. 1 indexed citations
6.
Bell, Melanie L., Leslie V. Farland, Kacey C. Ernst, et al.. (2021). Post-acute sequelae of COVID-19 in a non-hospitalized cohort: Results from the Arizona CoVHORT. PLoS ONE. 16(8). e0254347–e0254347. 95 indexed citations
7.
Gel, Esma S., et al.. (2020). COVID-19 healthcare demand projections: Arizona. PLoS ONE. 15(12). e0242588–e0242588. 9 indexed citations
8.
Wilson, Natalia, et al.. (2019). Nurses' Perceptions of Implant Barcode Scanning in Surgical Services. CIN Computers Informatics Nursing. 38(3). 131–138.
9.
Kim, Yushim, Wei Zhong, Megan Jehn, & Lauren Walsh. (2015). Public Risk Perceptions and Preventive Behaviors During the 2009 H1N1 Influenza Pandemic. Disaster Medicine and Public Health Preparedness. 9(2). 145–154. 57 indexed citations
10.
Wilson, Natalia, Megan Jehn, Sally York, & Charles M. Davis. (2013). Revision Total Hip and Knee Arthroplasty Implant Identification: Implications for Use of Unique Device Identification 2012 AAHKS Member Survey Results. The Journal of Arthroplasty. 29(2). 251–255. 42 indexed citations
11.
Araz, Özgür M. & Megan Jehn. (2012). Improving public health emergency preparedness through enhanced decision-making environments: A simulation and survey based evaluation. Technological Forecasting and Social Change. 80(9). 1775–1781. 25 indexed citations
12.
Hodge, James G., Timothy Lant, Jalayne J. Arias, & Megan Jehn. (2011). Building Evidence for Legal Decision Making in Real Time: Legal Triage in Public Health Emergencies. Disaster Medicine and Public Health Preparedness. 5(S2). S242–S251. 1 indexed citations
13.
Jehn, Megan, et al.. (2011). Community Knowledge, Risk Perception, and Preparedness for the 2009 Influenza A/H1N1 Pandemic. Journal of Public Health Management and Practice. 17(5). 431–438. 37 indexed citations
14.
Araz, Özgür M., et al.. (2009). A pandemic influenza simulation model for preparedness planning. Winter Simulation Conference. 1986–1995. 9 indexed citations
15.
Jehn, Megan. (2009). Psychosocial Factors and Racial Differences in Blood Pressure Dipping. American Journal of Hypertension. 22(6). 584–584. 2 indexed citations
16.
Jehn, Megan, Daniel J. Brotman, & Lawrence J. Appel. (2008). Racial Differences in Diurnal Blood Pressure and Heart Rate Patterns. Archives of Internal Medicine. 168(9). 996–996. 27 indexed citations
17.
Genkinger, Jeanine M., et al.. (2006). DOES WEIGHT STATUS INFLUENCE PERCEPTIONS OF PHYSICAL ACTIVITY BARRIERS AMONG AFRICAN-AMERICAN WOMEN?. PubMed. 16(1). 78–84. 25 indexed citations
18.
Miller, Edgar R. & Megan Jehn. (2004). New High Blood Pressure Guidelines Create New At-Risk Classification. The Journal of Cardiovascular Nursing. 19(6). 367–371. 7 indexed citations
19.
Young, Deborah R., et al.. (2004). Health Status Among Urban African American Women: Associations Among Well-Being, Perceived Stress, and Demographic Factors. Journal of Behavioral Medicine. 27(1). 63–76. 14 indexed citations
20.
Miller, Edgar R., Thomas P. Erlinger, Deborah Rohm Young, et al.. (2002). Results of the D iet, E xercise, and W eight Loss I ntervention T rial (DEW-IT). Hypertension. 40(5). 612–618. 235 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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