Olaf Herkert

435 total citations
7 papers, 365 citations indexed

About

Olaf Herkert is a scholar working on Hematology, Immunology and Molecular Biology. According to data from OpenAlex, Olaf Herkert has authored 7 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 3 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Olaf Herkert's work include Blood Coagulation and Thrombosis Mechanisms (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). Olaf Herkert is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). Olaf Herkert collaborates with scholars based in Germany. Olaf Herkert's co-authors include Agnes Görlach, Rudi Busse, Valérie B. Schini‐Kerth, Herbert Kühl, John Hess, Rachida S. BelAiba, Talija Djordjevic, Jürgen Sandow, Isabel Diebold and Ralf P. Brandes and has published in prestigious journals such as Circulation, Methods in enzymology on CD-ROM/Methods in enzymology and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Olaf Herkert

7 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olaf Herkert Germany 7 88 82 71 71 69 7 365
Thomas M. Coffman United States 8 140 1.6× 84 1.0× 25 0.4× 72 1.0× 67 1.0× 9 572
Katie S. Wraith United Kingdom 8 138 1.6× 103 1.3× 48 0.7× 50 0.7× 14 0.2× 10 432
Arshia Panahloo United Kingdom 13 71 0.8× 132 1.6× 246 3.5× 47 0.7× 65 0.9× 20 572
Fiona R. Green United Kingdom 10 145 1.6× 35 0.4× 43 0.6× 37 0.5× 58 0.8× 13 556
Giovanna Baccante Italy 15 172 2.0× 59 0.7× 39 0.5× 85 1.2× 37 0.5× 19 546
Ziba Rahimi Iran 16 114 1.3× 85 1.0× 65 0.9× 51 0.7× 36 0.5× 43 582
J. Rajput-Williams United Kingdom 9 284 3.2× 27 0.3× 102 1.4× 49 0.7× 108 1.6× 15 683
E Gowland United Kingdom 12 93 1.1× 108 1.3× 101 1.4× 80 1.1× 22 0.3× 24 423
Seijiro Kado Japan 11 141 1.6× 17 0.2× 138 1.9× 92 1.3× 54 0.8× 11 546
Nike Müller Germany 11 209 2.4× 18 0.2× 73 1.0× 132 1.9× 50 0.7× 15 571

Countries citing papers authored by Olaf Herkert

Since Specialization
Citations

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

Fields of papers citing papers by Olaf Herkert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olaf Herkert

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

All Works

7 of 7 papers shown
1.
Djordjevic, Talija, John Hess, Olaf Herkert, Agnes Görlach, & Rachida S. BelAiba. (2004). Rac Regulates Thrombin-Induced Tissue Factor Expression in Pulmonary Artery Smooth Muscle Cells Involving the Nuclear Factor-κB Pathway. Antioxidants and Redox Signaling. 6(4). 713–720. 29 indexed citations
2.
Herkert, Olaf, Talija Djordjevic, Rachida S. BelAiba, & Agnes Görlach. (2004). Insights into the Redox Control of Blood Coagulation: Role of Vascular NADPH Oxidase-Derived Reactive Oxygen Species in the Thrombogenic Cycle. Antioxidants and Redox Signaling. 6(4). 765–776. 58 indexed citations
3.
Herkert, Olaf & Agnes Görlach. (2002). [19] Redox control of tissue factor expression in smooth muscle cells and other vascular cells. Methods in enzymology on CD-ROM/Methods in enzymology. 352. 220–231. 9 indexed citations
4.
Herkert, Olaf, Isabel Diebold, Ralf P. Brandes, et al.. (2002). NADPH Oxidase Mediates Tissue Factor–Dependent Surface Procoagulant Activity by Thrombin in Human Vascular Smooth Muscle Cells. Circulation. 105(17). 2030–2036. 100 indexed citations
5.
Herkert, Olaf, Herbert Kühl, Jürgen Sandow, Rudi Busse, & Valérie B. Schini‐Kerth. (2001). Sex Steroids Used in Hormonal Treatment Increase Vascular Procoagulant Activity by Inducing Thrombin Receptor (PAR-1) Expression. Circulation. 104(23). 2826–2831. 93 indexed citations
6.
Bassus, S., Olaf Herkert, Agnes Görlach, et al.. (2001). Thrombin Causes Vascular Endothelial Growth Factor Expression in Vascular Smooth Muscle Cells. Arteriosclerosis Thrombosis and Vascular Biology. 21(9). 1550–1555. 58 indexed citations
7.
Herkert, Olaf, Herbert Kühl, Rudi Busse, & Valérie B. Schini-Kerth. (2000). The progestin levonorgestrel induces endothelium‐independent relaxation of rabbit jugular vein via inhibition of calcium entry and protein kinase C: role of cyclic AMP. British Journal of Pharmacology. 130(8). 1911–1918. 18 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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