Rainer Spanbroek

4.9k total citations · 2 hit papers
20 papers, 3.4k citations indexed

About

Rainer Spanbroek is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Rainer Spanbroek has authored 20 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 5 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Rainer Spanbroek's work include Immune Cell Function and Interaction (5 papers), Atherosclerosis and Cardiovascular Diseases (5 papers) and Immunotherapy and Immune Responses (5 papers). Rainer Spanbroek is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Atherosclerosis and Cardiovascular Diseases (5 papers) and Immunotherapy and Immune Responses (5 papers). Rainer Spanbroek collaborates with scholars based in Germany, Netherlands and United States. Rainer Spanbroek's co-authors include Andreas J. R. Habenicht, Gwendalyn J. Randolph, Frank Tacke, Claudia Jakubzick, Nico van Rooijen, Theodore Kaplan, Alexandre Garin, Matthias Mack, Sérgio A. Lira and Jianhua Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Rainer Spanbroek

19 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Monocyte subsets differentially employ CCR2, CCR5, and CX3CR1 to accumulate within atherosclerotic plaques

2007 1.1k citations Frank Tacke, David Álvarez et al. Journal of Clinical Investigation profile →
Comparison of gene expression profiles between human and mouse monocyte subsets

2009 536 citations Molly A. Ingersoll, Rainer Spanbroek et al. Blood profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rainer Spanbroek Germany	17	2.0k	875	547	508	394	20	3.4k
Vincent Braunersreuther Switzerland	28	955 0.5×	750 0.9×	582 1.1×	467 0.9×	256 0.6×	43	2.7k
Allan Sirsjö Sweden	32	1.2k 0.6×	1.3k 1.5×	426 0.8×	534 1.1×	287 0.7×	98	3.1k
Ken A. Lindstedt Finland	36	1.2k 0.6×	717 0.8×	351 0.6×	247 0.5×	368 0.9×	67	3.4k
Maik Drechsler Germany	32	2.5k 1.3×	1.4k 1.6×	675 1.2×	482 0.9×	245 0.6×	57	4.2k
H. Daniel Perez United States	35	1.5k 0.7×	1.1k 1.3×	304 0.6×	915 1.8×	336 0.9×	87	3.5k
Manikandan Subramanian United States	22	2.1k 1.0×	1.1k 1.3×	782 1.4×	208 0.4×	404 1.0×	33	3.5k
Amanda C. Doran United States	24	2.5k 1.2×	1.4k 1.6×	748 1.4×	251 0.5×	513 1.3×	38	4.2k
Pablo Garcı́a de Frutos Spain	36	1.7k 0.9×	790 0.9×	288 0.5×	205 0.4×	585 1.5×	92	3.9k
Jennifa Gosling United States	14	2.6k 1.3×	759 0.9×	602 1.1×	1.6k 3.2×	325 0.8×	20	4.0k
Shyra J. Gardai United States	23	2.2k 1.1×	1.4k 1.7×	386 0.7×	572 1.1×	769 2.0×	58	4.3k

Countries citing papers authored by Rainer Spanbroek

Since Specialization

Citations

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

Fields of papers citing papers by Rainer Spanbroek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rainer Spanbroek

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

All Works

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20 of 20 papers shown

1.

Ingersoll, Molly A., Rainer Spanbroek, Claudio Lottaz, et al.. (2016). Comparison of gene expression profiles between human and mouse monocyte.

2.

Augsten, Martin, Anika Böttcher, Rainer Spanbroek, Ignacio Rubio, & Karlheinz Friedrich. (2014). Graded inhibition of oncogenic Ras-signaling by multivalent Ras-binding domains. Cell Communication and Signaling. 12(1). 1–1. 49 indexed citations

3.

Gautier, Emmanuel L., Andrew Chow, Rainer Spanbroek, et al.. (2012). Systemic Analysis of PPARγ in Mouse Macrophage Populations Reveals Marked Diversity in Expression with Critical Roles in Resolution of Inflammation and Airway Immunity. The Journal of Immunology. 189(5). 2614–2624. 141 indexed citations

4.

Lötzer, Katharina, Rolf Gräbner, Rainer Spanbroek, et al.. (2010). Mouse Aorta Smooth Muscle Cells Differentiate Into Lymphoid Tissue Organizer-Like Cells on Combined Tumor Necrosis Factor Receptor-1/Lymphotoxin β-Receptor NF-κB Signaling. Arteriosclerosis Thrombosis and Vascular Biology. 30(3). 395–402. 85 indexed citations

5.

Ingersoll, Molly A., Rainer Spanbroek, Claudio Lottaz, et al.. (2009). Comparison of gene expression profiles between human and mouse monocyte subsets. Blood. 115(3). e10–e19. 536 indexed citations breakdown →

6.

Wang, Xiao, Rainer Spanbroek, Jenny Flygare, et al.. (2009). High expression of 5-lipoxygenase in normal and malignant mantle zone B lymphocytes. BMC Immunology. 10(1). 2–2. 27 indexed citations

7.

Tuckermann, Jan, Anna Kleiman, Richard Moriggl, et al.. (2007). Macrophages and neutrophils are the targets for immune suppression by glucocorticoids in contact allergy. HAL (Le Centre pour la Communication Scientifique Directe). 195 indexed citations

8.

Tacke, Frank, David Álvarez, Theodore Kaplan, et al.. (2007). Monocyte subsets differentially employ CCR2, CCR5, and CX3CR1 to accumulate within atherosclerotic plaques. Journal of Clinical Investigation. 117(1). 185–194. 1053 indexed citations breakdown →

9.

Tuckermann, Jan, Anna Kleiman, Richard Moriggl, et al.. (2007). Macrophages and neutrophils are the targets for immune suppression by glucocorticoids in contact allergy. Journal of Clinical Investigation. 117(5). 1381–1390. 203 indexed citations

10.

Funk, Colin, et al.. (2007). Selective 5-Lipoxygenase Expression in Langerhans Cells and Impaired Dendritic Cell Migration in 5-LO-Deficient Mice Reveal Leukotriene Action in Skin. Journal of Investigative Dermatology. 127(7). 1692–1700. 9 indexed citations

11.

Zhao, Lei, Michael Moos, Rolf Gräbner, et al.. (2004). The 5-lipoxygenase pathway promotes pathogenesis of hyperlipidemia-dependent aortic aneurysm. Nature Medicine. 10(9). 966–973. 292 indexed citations

12.

Spanbroek, Rainer & Andreas J. R. Habenicht. (2003). The potential role of antileukotriene drugs in atherosclerosis. Drug News & Perspectives. 16(8). 485–485. 28 indexed citations

13.

Spanbroek, Rainer, Rolf Gräbner, Katharina Lötzer, et al.. (2003). Expanding expression of the 5-lipoxygenase pathway within the arterial wall during human atherogenesis. Proceedings of the National Academy of Sciences. 100(3). 1238–1243. 378 indexed citations

14.

Spanbroek, Rainer, Katharina Lötzer, Andreas J. R. Habenicht, Karsten Schrör, & Ellen Bretschneider. (2003). Evidence for functionally active protease-activated receptor-3 (PAR-3) in human vascular smooth muscle cells. Thrombosis and Haemostasis. 90(10). 704–709. 46 indexed citations

15.

Lötzer, Katharina, Rainer Spanbroek, Markus Hildner, et al.. (2003). Differential Leukotriene Receptor Expression and Calcium Responses in Endothelial Cells and Macrophages Indicate 5-Lipoxygenase–Dependent Circuits of Inflammation and Atherogenesis. Arteriosclerosis Thrombosis and Vascular Biology. 23(8). e32–6. 88 indexed citations

16.

Spanbroek, Rainer, Markus Hildner, F Zintl, et al.. (2001). IL-4 determines eicosanoid formation in dendritic cells by down-regulation of 5-lipoxygenase and up-regulation of 15-lipoxygenase 1 expression. Proceedings of the National Academy of Sciences. 98(9). 5152–5157. 92 indexed citations

17.

Spanbroek, Rainer, Markus Hildner, Dieter Steinhilber, et al.. (2000). 5-lipoxygenase expression in dendritic cells generated from CD34+ hematopoietic progenitors and in lymphoid organs. Blood. 96(12). 3857–3865. 52 indexed citations

18.

Spanbroek, Rainer, Markus Hildner, Dieter Steinhilber, et al.. (2000). 5-lipoxygenase expression in dendritic cells generated from CD34+ hematopoietic progenitors and in lymphoid organs. Blood. 96(12). 3857–3865. 6 indexed citations

19.

Spanbroek, Rainer, Hans‐Jürgen Stark, U Janssen-Timmen, et al.. (1998). 5-Lipoxygenase expression in Langerhans cells of normal human epidermis. Proceedings of the National Academy of Sciences. 95(2). 663–668. 54 indexed citations

20.

Müthing, Johannes, Rainer Spanbroek, Jasna Peter‐Katalinić, et al.. (1996). Isolation and structural characterization of fucosylated gangliosides with linear poly-N-acetyllactosaminyl chains from human granulocytes. Glycobiology. 6(2). 147–156. 39 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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