Dagmar Quandt

2.3k total citations · 1 hit paper
26 papers, 1.8k citations indexed

About

Dagmar Quandt is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, Dagmar Quandt has authored 26 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 6 papers in Oncology and 6 papers in Epidemiology. Recurrent topics in Dagmar Quandt's work include Immune Cell Function and Interaction (15 papers), Immunotherapy and Immune Responses (9 papers) and T-cell and B-cell Immunology (6 papers). Dagmar Quandt is often cited by papers focused on Immune Cell Function and Interaction (15 papers), Immunotherapy and Immune Responses (9 papers) and T-cell and B-cell Immunology (6 papers). Dagmar Quandt collaborates with scholars based in Germany, Ireland and Czechia. Dagmar Quandt's co-authors include Manuela Rossol, Undine Meusch, Barbara Seliger, Matthew J. Sweet, Holger Heine, Sunna Hauschildt, Kathrin Rothe, Ulf Wagner, C. Baerwald and Matthias Pierer and has published in prestigious journals such as Nature Communications, The Journal of Immunology and PLoS ONE.

In The Last Decade

Dagmar Quandt

26 papers receiving 1.7k citations

Hit Papers

LPS-induced Cytokine Production in Human Monocytes and Ma... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers

Dagmar Quandt
Comparison fields: 5 of 110
  • Immunology 814
  • Molecular Biology 588
  • Oncology 339
  • Epidemiology 232
  • Physiology 142
Replace Christian D. Sadik with:
Christian D. Sadik Germany
Marina S. Drutskaya Russia
Satish Devadas India
Manuela Rossol Germany
Diana Di Liberto Italy
Danay Cibrián Spain
Maureen N. Ajuebor United States
Urban Švajger Slovenia
Henrique Lemos United States
Archna Sharma United States
Christian D. Sadik Germany View profile →
Citations per field, relative to Dagmar Quandt
Dagmar Quandt · 1×
Citations per year, relative to Dagmar Quandt
Dagmar Quandt · 1×

Countries citing papers authored by Dagmar Quandt

Since Specialization
Citations

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

Fields of papers citing papers by Dagmar Quandt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagmar Quandt

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 23
3 13
4 21
5 77
6 44
7 15
8 32
9 24
10 2
11 56
12 68
13 63
14 392
15 112
16 41
17
LPS-induced Cytokine Production in Human Monocytes and Macrophages breakdown →
507
18 80
19 34
20 39

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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