Anna M. Gram

605 citations
10 papers · 429 · 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
    • T-cell and B-cell Immunology 1
    • Viral-associated cancers and disorders 4

Anna M. Gram

10 papers receiving 423 citations

Peers

Anna M. Gram
Comparison fields: 5 of 54
  • Immunology 222
  • Oncology 189
  • Pathology and Forensic Medicine 62
  • Epidemiology 112
  • Infectious Diseases 62
Replace Rebecca J. Faleiro with:
Rebecca J. Faleiro Australia
Ingrid G. J. Boer Netherlands
Kurtis M. Host United States
Claudia Zannetti France
Heinrich Lellek Germany
Cornelia Kreschel Germany
Pamela A. Welch United States
Cinzia Zanotti Italy
Sławomir Majewski Poland
Hiroo Katsuya Japan
Anna M. Gram relative to Rebecca J. Faleiro Australia Rebecca J. Faleiro's profile →
Citations per field
00.5×
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 2015119
2 201373
3 202069
4 201258
5 201734
6 201626
7 201426
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 429 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), Immunotherapy and Immune Responses (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Immunology (222 citations), Oncology (189 citations), Pathology and Forensic Medicine (62 citations), Epidemiology (112 citations) and Infectious Diseases (62 citations). Anna M. Gram has collaborated with scholars based in Netherlands, United States and South Sudan. Frequent co-authors include Maaike E. Ressing, Emmanuel J. H. J. Wiertz, Michiel van Gent, Marjolein J. G. Hooykaas, Sytse J. Piersma, Joost Frenkel, Lee M. Booty, Clare Bryant, John A. Wright and Steve J. Webster. Their work appears in journals such as The Journal of Immunology, Journal of General Virology, Journal of Biological Chemistry, Current topics in microbiology and immunology and PLoS Pathogens.

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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