Mie Agermose Gram

889 citations
15 papers · 300 indexed · h-index 8
Topics
SARS-CoV-2 and COVID-19 Research (10 papers)COVID-19 Clinical Research Studies (5 papers)Vaccine Coverage and Hesitancy (4 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEPLoS Medicine
Partner nations
DenmarkSwedenFinland

In The Last Decade

Mie Agermose Gram

14 papers receiving 299 citations

Peers

Mie Agermose Gram
Comparison fields: 5 of 55
  • Infectious Diseases 236
  • Health 113
  • Modeling and Simulation 61
  • Epidemiology 34
  • Neurology 33
Replace Sara Bressler with:
Sara Bressler United States
Borscha Azmi United Kingdom
Ana Miqueleiz Spain
Martina McMenamin United Kingdom
Ahamed Lazim Vattoth Qatar
K. Danielle Lecy United States
Camino Trobajo‐Sanmartín Spain
Licita Schreiber Israel
Patrícia Vieira da Silva Brazil
Regiane Cardoso de Paula Brazil
Mie Agermose Gram relative to Sara Bressler United States Sara Bressler's profile →
Citations per field
00.5×1.5×2.1×
Sara Bressler · 1×
Citations per year

Countries citing papers authored by Mie Agermose Gram

Since Specialization
Citations

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

Fields of papers citing papers by Mie Agermose Gram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mie Agermose Gram. 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 Mie Agermose Gram. The network helps show where Mie Agermose Gram may publish in the future.

Co-authorship network of co-authors of Mie Agermose Gram

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 8
3 0
4 1
5 3
6 17
7 20
8 99
9 30
10 55
11 6
12 6
13 31
14 21
15 2

About Mie Agermose Gram

Mie Agermose Gram is a scholar working on Infectious Diseases, Health and Microbiology, having authored 15 papers that have together received 300 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (5 papers) and Vaccine Coverage and Hesitancy (4 papers). The work is most often cited by research in Health (113 citations), Modeling and Simulation (61 citations) and Infectious Diseases (236 citations). Mie Agermose Gram has collaborated with scholars based in Denmark, Sweden and Finland. Frequent co-authors include Palle Valentiner‐Branth, Hanne‐Dorthe Emborg, Ida Rask Moustsen‐Helms, Christian Holm Hansen, Steen Ethelberg, Astrid Blicher Schelde, Katrine Finderup Nielsen, Marc Stegger, Rebecca Legarth and Jannik Fonager. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLoS Medicine.

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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