Ida Monrad

561 total citations
10 papers, 195 citations indexed

About

Ida Monrad is a scholar working on Infectious Diseases, Oncology and Immunology. According to data from OpenAlex, Ida Monrad has authored 10 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 3 papers in Oncology and 3 papers in Immunology. Recurrent topics in Ida Monrad's work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (4 papers) and CAR-T cell therapy research (2 papers). Ida Monrad is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (4 papers) and CAR-T cell therapy research (2 papers). Ida Monrad collaborates with scholars based in Denmark, United States and United Kingdom. Ida Monrad's co-authors include Martin Tolstrup, Line K. Vibholm, Mariane Høgsbjerg Schleimann, Lars Østergaard, Jesper Damsgaard Gunst, Ole S. Søgaard, Marie H. Pahus, Rikke Olesen, Giacomo S. Frattari and Jesper Falkesgaard Højen and has published in prestigious journals such as PLoS ONE, Frontiers in Cellular and Infection Microbiology and EBioMedicine.

In The Last Decade

Ida Monrad

10 papers receiving 194 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ida Monrad Denmark 7 130 70 42 41 17 10 195
Charlotte Nazon France 5 167 1.3× 73 1.0× 41 1.0× 40 1.0× 5 0.3× 6 239
Ida Jarlhelt Denmark 11 218 1.7× 45 0.6× 88 2.1× 50 1.2× 7 0.4× 15 319
Yvonne Fu Zi Chan Singapore 3 171 1.3× 76 1.1× 40 1.0× 47 1.1× 3 0.2× 6 223
Paolo Stobbione Italy 5 129 1.0× 90 1.3× 36 0.9× 23 0.6× 15 0.9× 7 208
Oksana V. Stanevich Russia 10 182 1.4× 87 1.2× 46 1.1× 25 0.6× 3 0.2× 21 220
Barbara Baronio Italy 3 187 1.4× 61 0.9× 31 0.7× 81 2.0× 18 1.1× 4 258
Eleftherios Pavlos Greece 4 235 1.8× 111 1.6× 83 2.0× 111 2.7× 7 0.4× 4 337
Hannes Axelsson Sweden 5 135 1.0× 37 0.5× 31 0.7× 77 1.9× 4 0.2× 6 220
Bangshuo Zhang China 3 202 1.6× 137 2.0× 30 0.7× 18 0.4× 4 0.2× 4 269
Moritz Anft Germany 9 98 0.8× 67 1.0× 44 1.0× 81 2.0× 4 0.2× 25 238

Countries citing papers authored by Ida Monrad

Since Specialization
Citations

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

Fields of papers citing papers by Ida Monrad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ida Monrad

This figure shows the co-authorship network connecting the top 25 collaborators of Ida Monrad. A scholar is included among the top collaborators of Ida Monrad 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 Ida Monrad. Ida Monrad 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
1.
Gunst, Jesper Damsgaard, Ida Monrad, Andreas Holleufer, et al.. (2023). Redirector of Vaccine-induced Effector Responses (RoVER) for specific killing of cellular targets. EBioMedicine. 96. 104785–104785. 2 indexed citations
2.
Pahus, Marie H., Ida Monrad, Rikke Olesen, et al.. (2022). CD169 (Siglec-1) as a Robust Human Cell Biomarker of Toll-Like Receptor 9 Agonist Immunotherapy. Frontiers in Cellular and Infection Microbiology. 12. 919097–919097. 3 indexed citations
3.
Vibholm, Line K., Ida Monrad, Rikke Olesen, et al.. (2021). SARS-CoV-2 elicits robust adaptive immune responses regardless of disease severity. EBioMedicine. 68. 103410–103410. 38 indexed citations
4.
Vibholm, Line K., Marie H. Pahus, Giacomo S. Frattari, et al.. (2021). SARS-CoV-2 persistence is associated with antigen-specific CD8 T-cell responses. EBioMedicine. 64. 103230–103230. 94 indexed citations
5.
Monrad, Ida, Line K. Vibholm, Giacomo S. Frattari, et al.. (2021). The Impact of IFNλ4 on the Adaptive Immune Response to SARS-CoV-2 Infection. Journal of Interferon & Cytokine Research. 41(11). 407–414. 2 indexed citations
6.
Monrad, Ida, Mikkel Steen Petersen, Irene Harder Tarpgaard, et al.. (2021). Persistent Severe Acute Respiratory Syndrome Coronavirus 2 Infection in Immunocompromised Host Displaying Treatment Induced Viral Evolution. Open Forum Infectious Diseases. 8(7). ofab295–ofab295. 18 indexed citations
7.
Monrad, Ida, Charlotte Bernhard Madsen, Bent Honoré, et al.. (2021). PD-1 Expression in Pre-Treatment Follicular Lymphoma Predicts the Risk of Subsequent High-Grade Transformation. OncoTargets and Therapy. Volume 14. 481–489. 13 indexed citations
8.
Cham, Lamin B., Marie H. Pahus, Rikke Olesen, et al.. (2021). Effect of Age on Innate and Adaptive Immunity in Hospitalized COVID-19 Patients. Journal of Clinical Medicine. 10(20). 4798–4798. 6 indexed citations
9.
10.
Monrad, Ida, Charlotte Madsen, Bent Honoré, et al.. (2020). Glycolytic biomarkers predict transformation in patients with follicular lymphoma. PLoS ONE. 15(5). e0233449–e0233449. 11 indexed citations

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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