Irma Heid

832 citations
10 papers · 683 · h-index 9

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
  • Genetics top 10%
    • Virus-based gene therapy research
    • Glioma Diagnosis and Treatment

Papers in

    • TGF-β signaling in diseases 2
    • Herpesvirus Infections and Treatments 6
    • Cytomegalovirus and herpesvirus research 1

Irma Heid

10 papers receiving 666 citations

Peers

Irma Heid
Comparison fields: 5 of 61
  • Immunology 240
  • Genetics 93
  • Immunology and Allergy 47
  • Oncology 191
  • Genetics 171
Replace Francesca Finetti with:
Francesca Finetti Italy
D. Morello France
Christian Itin Switzerland
Melanie Grove Germany
Colin Casimir United Kingdom
Paola Corbella Italy
Ricardo Sànchez United States
Frida Lantner Israel
David L. McElligott United States
Sven Erickson Sweden
Irma Heid relative to Francesca Finetti Italy Francesca Finetti's profile →
Citations per field
00.5×1.5×1.8×
Francesca Finetti · 1×
Citations per year

Countries citing papers authored by Irma Heid

Since Specialization
Citations

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

Fields of papers citing papers by Irma Heid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Irma Heid, 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 Irma Heid Line = papers co-authored together Irma Heid links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1989334
2 200586
3 200557
4 200251
5 199049
6 199136
7 200334
8 200418
9 200515
10 20043

About Irma Heid

Irma Heid is a scholar working on Molecular Biology, Epidemiology, Genetics, Immunology and Infectious Diseases, having authored 10 papers that have together received 683 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Herpesvirus Infections and Treatments (6 papers), TGF-β signaling in diseases (2 papers), interferon and immune responses (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Alzheimer's disease research and treatments (1 paper), Poxvirus research and outbreaks (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Immunology (240 citations), Genetics (93 citations), Immunology and Allergy (47 citations), Oncology (191 citations) and Genetics (171 citations). Irma Heid has collaborated with scholars based in Switzerland, United States and Slovakia. Frequent co-authors include Stefan Bodmer, A. Fontana, Karl Frei, Nicolas de Tribolet, Christine Siepl, Cornel Fraefel, Mathias Ackermann, Daniel L. Glauser, Okay Saydam and Peter J. Wild. Their work appears in journals such as Journal of Virology, Molecular Therapy, The Journal of Immunology, Biochemical and Biophysical Research Communications and Journal of Neuroimmunology.

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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