Dominik Rückerl

4.9k citations
44 papers · 3.5k indexed · 1 hit paper · h-index 25
Topics
Immune cells in cancer (16 papers)IL-33, ST2, and ILC Pathways (9 papers)Parasites and Host Interactions (9 papers)

In The Last Decade

Dominik Rückerl

44 papers receiving 3.4k citations

Hit Papers

Local Macrophage Proliferation, Rather than Recruitment f...201120262016202120112505007501000

Peers

Dominik Rückerl
Comparison fields: 5 of 110
  • Immunology 2.2k
  • Molecular Biology 769
  • Parasitology 468
  • Surgery 455
  • Epidemiology 434
Replace Masahito Kamanaka with:
Masahito Kamanaka United States
Karen A. Cavassani United States
Elizabeth A. Wohlfert United States
S L Kunkel United States
Margaret Mentink‐Kane United States
Emily Hams Ireland
Lucy H. Jackson‐Jones United Kingdom
Mirta Schattner Argentina
Koubun Yasuda Japan
Anja Fuchs United States
Dominik Rückerl relative to Masahito Kamanaka United States Masahito Kamanaka's profile →
Citations per field
00.5×
Masahito Kamanaka · 1×
Citations per year

Countries citing papers authored by Dominik Rückerl

Since Specialization
Citations

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

Fields of papers citing papers by Dominik Rückerl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominik Rückerl

This figure shows the co-authorship network connecting the top 25 collaborators of Dominik Rückerl. A scholar is included among the top collaborators of Dominik Rückerl 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 Dominik Rückerl. Dominik Rückerl 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
#WorkIndexed citations
1 25
2 13
3 13
4 11
5 35
6 45
7 1
8 41
9 35
10 12
11 36
12 64
13 42
14 173
15 266
16 160
17
Local Macrophage Proliferation, Rather than Recruitment from the Blood, Is a Signature of T H 2 Inflammationbreakdown →
1049
18 180
19
Regulation of alternative (M2) macrophage activation by Suppressor of Cytokine Signalling (SOCS) 1
1
20 238

About Dominik Rückerl

Dominik Rückerl is a scholar working on Parasitology, Immunology and Biological Psychiatry, having authored 44 papers that have together received 3.5k indexed citations. Recurring topics across this work include Immune cells in cancer (16 papers), IL-33, ST2, and ILC Pathways (9 papers) and Parasites and Host Interactions (9 papers). The work is most often cited by research in Immunology (2.2k citations), Parasitology (468 citations) and Neurology (227 citations). Dominik Rückerl has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Judith E. Allen, Stephen J. Jenkins, Andrew S. MacDonald, Lucy H. Jackson‐Jones, Peter C. Cook, Fred D. Finkelman, Nico van Rooijen, Sheelagh Duncan, Rick M. Maizels and Christoph Hölscher. Their work appears in journals such as Science, Journal of Biological Chemistry and The Journal of Experimental Medicine.

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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