Megan Sheehan

671 citations
20 papers · 333 indexed · h-index 10
Topics
Birth, Development, and Health (3 papers)COVID-19 Clinical Research Studies (3 papers)SARS-CoV-2 and COVID-19 Research (2 papers)
Journals
SHILAP Revista de lepidopterologíaNeurologyClinical Infectious Diseases

In The Last Decade

Megan Sheehan

18 papers receiving 326 citations

Peers

Megan Sheehan
Comparison fields: 5 of 82
  • Infectious Diseases 122
  • Epidemiology 48
  • Modeling and Simulation 48
  • Cardiology and Cardiovascular Medicine 45
  • Pathology and Forensic Medicine 44
Replace Katherine E. Kurgansky with:
Katherine E. Kurgansky United States
Dongmei Hu China
Abdallah Almaghraby Egypt
Alena M. Pfeil Switzerland
Vignesh Chidambaram United States
Nishanth Dev India
Andrew Parrish South Africa
Yachana Kataria United States
Seina Lee United States
Megan Sheehan relative to Katherine E. Kurgansky United States Katherine E. Kurgansky's profile →
Citations per field
00.5×3.7×
Katherine E. Kurgansky · 1×
Citations per year

Countries citing papers authored by Megan Sheehan

Since Specialization
Citations

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

Fields of papers citing papers by Megan Sheehan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Sheehan

This figure shows the co-authorship network connecting the top 25 collaborators of Megan Sheehan. A scholar is included among the top collaborators of Megan Sheehan 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 Sheehan. Megan Sheehan 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
#WorkIndexed citations
1 4
2 2
3 0
4 2
5 2
6 2
7 85
8 3
9 6
10 39
11 9
12 10
13 14
14 25
15 0
16 37
17 15
18 9
19 39
20 30

About Megan Sheehan

Megan Sheehan is a scholar working on Internal Medicine, Modeling and Simulation and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 333 indexed citations. Recurring topics across this work include Birth, Development, and Health (3 papers), COVID-19 Clinical Research Studies (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Modeling and Simulation (48 citations), Infectious Diseases (122 citations) and Health (42 citations). Megan Sheehan has collaborated with scholars based in United States, Switzerland and Spain. Frequent co-authors include Michael B. Rothberg, Anita Reddy, Steven M. Gordon, Lisa Kojima, Bo Hu, Kyle L. Poulsen, Laura E. Nagy, Rebecca L. McCullough, Megan R. McMullen and Elizabeth R. Pfoh. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology and Clinical Infectious Diseases.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026