Megan E. Gumina

878 citations
10 papers · 586 indexed · 1 hit paper · h-index 6
Topics
Influenza Virus Research Studies (5 papers)Respiratory viral infections research (5 papers)Lymphoma Diagnosis and Treatment (3 papers)
Partner nations
United StatesChina

In The Last Decade

Megan E. Gumina

10 papers receiving 565 citations

Hit Papers

Contemporary H3N2 influenza viruses have a glycosylation ...20172026202020232017100200300

Peers

Megan E. Gumina
Comparison fields: 5 of 52
  • Epidemiology 437
  • Infectious Diseases 179
  • Immunology 146
  • Molecular Biology 123
  • Agronomy and Crop Science 67
Replace Brendan M. Giles with:
Brendan M. Giles United States
Noel T. Pauli United States
Cathy Chang United States
Nicola Logan United Kingdom
Laura Couzens United States
Sergio M. Quiñones‐Parra Australia
Haley L. Dugan United States
Sarah L. Hayward United States
Sietske K. Rosendahl Huber Netherlands
Ram P. Kamal United States
Megan E. Gumina relative to Brendan M. Giles United States Brendan M. Giles's profile →
Citations per field
00.5×2.6×
Brendan M. Giles · 1×
Citations per year

Countries citing papers authored by Megan E. Gumina

Since Specialization
Citations

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

Fields of papers citing papers by Megan E. Gumina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan E. Gumina

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 5
2 45
3 85
4 1
5 4
6 23
7 1
8 10
9 13
10
Contemporary H3N2 influenza viruses have a glycosylation site that alters binding of antibodies elicited by egg-adapted vaccine strainsbreakdown →
399

About Megan E. Gumina

Megan E. Gumina is a scholar working on Pathology and Forensic Medicine, Epidemiology and Immunology, having authored 10 papers that have together received 586 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Respiratory viral infections research (5 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Epidemiology (437 citations), Infectious Diseases (179 citations) and Modeling and Simulation (33 citations). Megan E. Gumina has collaborated with scholars based in United States and China. Frequent co-authors include Scott E. Hensley, Kangchon Kim, Sarah Cobey, Patrick C. Wilson, Seth J. Zost, Kaela Parkhouse, Andrea J. Sant, John J. Treanor, Albert C. Yan and Emily T. Martin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Immunity.

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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