Anna M. Gram

587 citations
10 papers · 415 · h-index 8

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • interferon and immune responses
    • Immune Response and Inflammation
    • Viral-associated cancers and disorders

Papers in

    • Immune Cell Function and Interaction 6
    • interferon and immune responses 3
    • Immunotherapy and Immune Responses 1
    • Viral-associated cancers and disorders 4

Anna M. Gram

10 papers receiving 411 citations

Peers

Anna M. Gram
Comparison fields: 5 of 53
  • Immunology 231
  • Oncology 190
  • Pathology and Forensic Medicine 64
  • Epidemiology 115
  • Infectious Diseases 59
Replace Rebecca J. Faleiro with:
Rebecca J. Faleiro Australia
Serena Chang United States
Sarah Van Scoy United States
Marjolein J. G. Hooykaas Netherlands
Thibaut Deschamps United States
Hiroo Katsuya Japan
Daniel Shu United States
Paulo Cordeiro Canada
Vivek Vikram Singh United States
Nicholas Grayson United Kingdom
Anna M. Gram relative to Rebecca J. Faleiro Australia Rebecca J. Faleiro's profile →
Citations per field
00.5×1.7×
Rebecca J. Faleiro · 1×
Citations per year

Countries citing papers authored by Anna M. Gram

Since Specialization
Citations

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

Fields of papers citing papers by Anna M. Gram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anna M. Gram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anna M. Gram Line = papers co-authored together Anna M. Gram links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2015117
2 201371
3 202062
4 201258
5 201733
6 201625
7 201425
8 201215
9 20236
10 20243

About Anna M. Gram

Anna M. Gram is a scholar working on Immunology, Oncology, Epidemiology, Molecular Biology and Surgery, having authored 10 papers that have together received 415 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Cytomegalovirus and herpesvirus research (5 papers), Viral-associated cancers and disorders (4 papers), interferon and immune responses (3 papers), Inflammasome and immune disorders (2 papers), Endoplasmic Reticulum Stress and Disease (1 paper), Immunotherapy and Immune Responses (1 paper) and Kawasaki Disease and Coronary Complications (1 paper). The work is most often cited by research in Immunology (231 citations), Oncology (190 citations), Pathology and Forensic Medicine (64 citations), Epidemiology (115 citations) and Infectious Diseases (59 citations). Anna M. Gram has collaborated with scholars based in Netherlands, United States and Australia. Frequent co-authors include Maaike E. Ressing, Emmanuel J. H. J. Wiertz, Michiel van Gent, Sytse J. Piersma, Marjolein J. G. Hooykaas, Joost Frenkel, Steve J. Webster, Daphne van Leeuwen, Fred Wang and Clare Bryant. Their work appears in journals such as The Journal of Immunology, Journal of General Virology, PLoS Pathogens, Journal of Biological Chemistry and Frontiers in Immunology.

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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