Klaus Scholich

4.7k total citations
92 papers, 3.5k citations indexed

About

Klaus Scholich is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Klaus Scholich has authored 92 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 36 papers in Physiology and 19 papers in Immunology. Recurrent topics in Klaus Scholich's work include Pain Mechanisms and Treatments (26 papers), Sphingolipid Metabolism and Signaling (13 papers) and Protein Kinase Regulation and GTPase Signaling (13 papers). Klaus Scholich is often cited by papers focused on Pain Mechanisms and Treatments (26 papers), Sphingolipid Metabolism and Signaling (13 papers) and Protein Kinase Regulation and GTPase Signaling (13 papers). Klaus Scholich collaborates with scholars based in Germany, United States and United Kingdom. Klaus Scholich's co-authors include Gerd Geißlinger, Sandra Pierre, Marco Sisignano, Tarun B. Patel, Ralf Baron, Christian Brenneis, Carlo Angioni, Thomas Eschenhagen, Jason B. Mullenix and Ovidiu Coste and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Klaus Scholich

90 papers receiving 3.4k citations

Peers

Klaus Scholich

PHYSI

CMN

ONCOL

IMMUN

Ellen Niederberger Germany

Axel Methner Germany

Jan Lewerenz Germany

Shao‐Hua Yang United States

Khalid Matrougui United States

Aurora Pujol Spain

Cinzia Dello Russo Italy

Narayan R. Bhat United States

Jens Schlossmann Germany

Ilo Jou South Korea

Ellen Niederberger Germany

Klaus Scholich

1.4k ×0.9

1.1k ×1.2

PHYSI

672 ×1.1

CMN

505 ×1.1

ONCOL

304 ×0.7

IMMUN

Citations per year, relative to Klaus Scholich Klaus Scholich (= 1×) peers Ellen Niederberger

Countries citing papers authored by Klaus Scholich

Since Specialization

Citations

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

Fields of papers citing papers by Klaus Scholich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klaus Scholich

This figure shows the co-authorship network connecting the top 25 collaborators of Klaus Scholich. A scholar is included among the top collaborators of Klaus Scholich 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 Klaus Scholich. Klaus Scholich 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

Schicht, Martin, Marco Sisignano, Saskia Wedel, et al.. (2025). Ocular Surface Changes Differ Significantly Between Oxaliplatin- and Diabetes-Induced Polyneuropathy. International Journal of Molecular Sciences. 26(5). 1884–1884.

Pierre, Sandra, Nicole Ziegler, Aimo Kannt, et al.. (2025). High content imaging shows distinct macrophage and dendritic cell phenotypes for psoriasis and atopic dermatitis. Scientific Reports. 15(1). 18904–18904.

Gurke, Robert, et al.. (2023). Meloxicam treatment disrupts the regional structure of innate inflammation sites by targeting the pro‐inflammatory effects of prostanoids. British Journal of Pharmacology. 181(7). 1051–1067. 6 indexed citations

Schicht, Martin, Saskia Wedel, Marco Sisignano, et al.. (2023). Ocular surface changes in mice with streptozotocin-induced diabetes and diabetic polyneuropathy. The Ocular Surface. 31. 43–55. 8 indexed citations

Klann, Kevin, Carlo Angioni, Andreas Weigert, et al.. (2020). The Lipid Receptor G2A (GPR132) Mediates Macrophage Migration in Nerve Injury-Induced Neuropathic Pain. Cells. 9(7). 1740–1740. 21 indexed citations

Pierre, Sandra, Bona Linke, J. Suo, et al.. (2016). GPVI and Thromboxane Receptor on Platelets Promote Proinflammatory Macrophage Phenotypes during Cutaneous Inflammation. Journal of Investigative Dermatology. 137(3). 686–695. 54 indexed citations

Santos, Sascha Meyer dos, Klaus Scholich, Nadejda Monsefi, et al.. (2015). Platelets from flowing blood attach to the inflammatory chemokine CXCL16 expressed in the endothelium of the human vessel wall. Thrombosis and Haemostasis. 114(8). 297–312. 16 indexed citations

Thomas, Dominique, J. Suo, Thomas Ulshöfer, et al.. (2014). Nano-LC-MS/MS for the quantitation of prostanoids in immune cells. Analytical and Bioanalytical Chemistry. 406(28). 7103–7116. 14 indexed citations

Sisignano, Marco, David Bennett, Gerd Geißlinger, & Klaus Scholich. (2013). TRP-channels as key integrators of lipid pathways in nociceptive neurons. Progress in Lipid Research. 53. 93–107. 55 indexed citations

10.

Sisignano, Marco, Chul‐Kyu Park, Carlo Angioni, et al.. (2012). 5,6-EET Is Released upon Neuronal Activity and Induces Mechanical Pain Hypersensitivity via TRPA1 on Central Afferent Terminals. Journal of Neuroscience. 32(18). 6364–6372. 100 indexed citations

11.

Zhang, Dong Dong, et al.. (2012). Overdose of the histamine H3 inverse agonist pitolisant increases thermal pain thresholds. Inflammation Research. 61(11). 1283–1291. 9 indexed citations

12.

Holland, Sabrina & Klaus Scholich. (2011). Regulation of neuronal functions by the E3-ubiquitinligase Protein Associated with MYC (MYCBP2). Communicative & Integrative Biology. 4(5). 513–515. 7 indexed citations

13.

Pierre, Sandra & Klaus Scholich. (2010). Toponomics: studying protein–protein interactions and protein networks in intact tissue. Molecular BioSystems. 6(4). 641–647. 26 indexed citations

14.

Coste, Ovidiu, Sandra Pierre, Claudiu Marian, et al.. (2008). Antinociceptive activity of the S1P‐receptor agonist FTY720. Journal of Cellular and Molecular Medicine. 12(3). 995–1004. 38 indexed citations

15.

Schmidtko, Achim, Wei Gao, Matthias Sausbier, et al.. (2008). Cysteine-Rich Protein 2, a Novel Downstream Effector of cGMP/cGMP-Dependent Protein Kinase I-Mediated Persistent Inflammatory Pain. Journal of Neuroscience. 28(6). 1320–1330. 52 indexed citations

16.

Hendricks, Michael, Sylvie Le Guyader, Sivan Subburaju, et al.. (2004). Formation of the retinotectal projection requires Esrom, an ortholog of PAM (protein associated with Myc). Development. 132(2). 247–256. 82 indexed citations

17.

Yang, Huaitao, Klaus Scholich, Steven Poser, et al.. (2002). Developmental expression of PAM (protein associated with MYC) in the rodent brain. Developmental Brain Research. 136(1). 35–42. 21 indexed citations

18.

Patel, Tarun B., et al.. (2002). Functional Analyses of Type V Adenylyl Cyclase. Methods in enzymology on CD-ROM/Methods in enzymology. 345. 160–187. 4 indexed citations

19.

Scholich, Klaus, Sandra Pierre, & Tarun B. Patel. (2001). Protein Associated with Myc (PAM) Is a Potent Inhibitor of Adenylyl Cyclases. Journal of Biological Chemistry. 276(50). 47583–47589. 47 indexed citations

20.

Yigzaw, Yinges, et al.. (2001). The C Terminus of Sprouty Is Important for Modulation of Cellular Migration and Proliferation. Journal of Biological Chemistry. 276(25). 22742–22747. 92 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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