Rolf Thieringer

40 papers receiving 3.2k citations

Rolf Thieringer's Hit Papers

An integrative genomics approach to infer causal associations between gene expression and disease 2005 · 741 citations
7410+7+14Years since publication200400600

Peers

Rolf Thieringer
Comparison fields: 5 of 120
  • Endocrinology, Diabetes and Metabolism 699
  • Immunology 738
  • Biochemistry 187
  • Behavioral Neuroscience 75
  • Molecular Biology 1.5k
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Rolf Thieringer relative to William L. Miller United States William L. Miller's profile →
Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Rolf Thieringer

Since Specialization
Citations

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

Fields of papers citing papers by Rolf Thieringer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rolf Thieringer, 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 Rolf Thieringer Line = papers co-authored together Rolf Thieringer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An integrative genomics approach to infer causal associations between gene expression and disease
Hit paper breakdown →
2005741
2 2001175
3 2000170
4 1995161
5 2004148
6 2001146
7 1997144
8 1998126
9 1994112
10
Role of stress-activated mitogen-activated protein kinase (p38) in beta 2-integrin-dependent neutrophil adhesion and the adhesion-dependent oxidative burst.
1998106
11 1988105
12 199897
13 200086
14 200185
15 200576
16 199969
17 199869
18 199165
19 200763
20 200749

About Rolf Thieringer

Rolf Thieringer is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cell Biology, Physiology and Immunology, having authored 40 papers that have together received 3.3k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (17 papers), Peroxisome Proliferator-Activated Receptors (9 papers), Adipose Tissue and Metabolism (8 papers), Aldose Reductase and Taurine (8 papers), Immune Response and Inflammation (8 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Immune Cell Function and Interaction (3 papers) and Coenzyme Q10 studies and effects (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (699 citations), Immunology (738 citations), Biochemistry (187 citations), Behavioral Neuroscience (75 citations) and Molecular Biology (1.5k citations). Rolf Thieringer has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Samuel D. Wright, Anne Hermanowski‐Vosatka, Matthew J. Fenton, Russell L. Delude, Pek Yee Lum, Eric E. Schadt, Jun Zhu, Alan B. Sachs, John R. Lamb and Debraj GuhaThakurta. Their work appears in journals such as Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters, The Journal of Immunology, Molecular and Cellular Biology 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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