Mario Koksch

848 total citations
22 papers, 678 citations indexed

About

Mario Koksch is a scholar working on Hematology, Internal Medicine and Surgery. According to data from OpenAlex, Mario Koksch has authored 22 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hematology, 7 papers in Internal Medicine and 6 papers in Surgery. Recurrent topics in Mario Koksch's work include Platelet Disorders and Treatments (13 papers), Venous Thromboembolism Diagnosis and Management (7 papers) and Blood Coagulation and Thrombosis Mechanisms (5 papers). Mario Koksch is often cited by papers focused on Platelet Disorders and Treatments (13 papers), Venous Thromboembolism Diagnosis and Management (7 papers) and Blood Coagulation and Thrombosis Mechanisms (5 papers). Mario Koksch collaborates with scholars based in Germany, United Kingdom and United States. Mario Koksch's co-authors include Annett Müller, F. O. Schumann, Norbert Sewald, Doris Pfeiffer, A. Siegemund, Martin Eigenthaler, Gerhard Müller, Gerd Schmitz, Martin Grießhammer and Martin Grünewald and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Clinical Endocrinology & Metabolism and Biochemical Pharmacology.

In The Last Decade

Mario Koksch

21 papers receiving 653 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Koksch Germany 16 221 188 170 164 105 22 678
Corinna Böttiger Germany 13 171 0.8× 93 0.5× 310 1.8× 248 1.5× 173 1.6× 16 691
Majd Protty United Kingdom 14 140 0.6× 120 0.6× 250 1.5× 185 1.1× 51 0.5× 47 626
Eti Alessandra Femia Italy 14 192 0.9× 92 0.5× 237 1.4× 82 0.5× 72 0.7× 34 540
James McKenney United States 9 206 0.9× 139 0.7× 75 0.4× 136 0.8× 46 0.4× 17 652
Chi‐Jen Chang Taiwan 15 104 0.5× 138 0.7× 186 1.1× 159 1.0× 41 0.4× 42 574
Rebecca Nuzzo United States 6 88 0.4× 138 0.7× 317 1.9× 131 0.8× 277 2.6× 8 734
RF Zwaal Netherlands 9 425 1.9× 292 1.6× 82 0.5× 72 0.4× 131 1.2× 10 779
Jérôme Rollin France 17 357 1.6× 328 1.7× 72 0.4× 400 2.4× 48 0.5× 41 910
Mark S. Forsythe United States 13 251 1.1× 93 0.5× 218 1.3× 163 1.0× 22 0.2× 20 513
María Eugenia de la Morena‐Barrio Spain 16 458 2.1× 259 1.4× 89 0.5× 86 0.5× 63 0.6× 67 798

Countries citing papers authored by Mario Koksch

Since Specialization
Citations

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

Fields of papers citing papers by Mario Koksch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Koksch

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Koksch. A scholar is included among the top collaborators of Mario Koksch 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 Mario Koksch. Mario Koksch 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
1.
Mittag, Anja, Dominik Lenz, Andreas O. H. Gerstner, et al.. (2005). Polychromatic (eight‐color) slide‐based cytometry for the phenotyping of leukocyte, NK, and NKT subsets. Cytometry Part A. 65A(2). 103–115. 56 indexed citations
2.
Grünewald, Martin, et al.. (2004). The platelet function defect of paroxysmal nocturnal haemoglobinuria. Platelets. 15(3). 145–154. 18 indexed citations
3.
Koksch, Mario, et al.. (2004). Fibrinogen receptor antagonists induce conformational changes of the human platelet glycoprotein IIb. Cytometry Part B Clinical Cytometry. 62B(1). 14–24. 4 indexed citations
4.
Hilberg, Thomas, et al.. (2004). Differentiation of platelet-leukocyte conjugate formation by short term exercise.. PubMed. 31(3). 217–26. 4 indexed citations
5.
Grünewald, Martin, et al.. (2003). Plasmatic coagulation and fibrinolytic system alterations in PNH. Blood Coagulation & Fibrinolysis. 14(7). 685–695. 31 indexed citations
6.
Wallaschofski, Henri, Anna Kobsar, Mario Koksch, et al.. (2003). Prolactin Receptor Signaling during Platelet Activation. Hormone and Metabolic Research. 35(4). 228–235. 29 indexed citations
7.
Scheinichen, Dirk, H.-D. Kleine, Mario Koksch, et al.. (2003). Comparison of Four Blood Sampling Sites for Flow-Cytometric Analysis of Platelet Function. Transfusion Medicine and Hemotherapy. 30(3). 109–114. 3 indexed citations
8.
9.
Seyfarth, Hans-Juergen, et al.. (2002). Effect of 300- and 450-mg clopidogrel loading doses on membrane and soluble P-selectin in patients undergoing coronary stent implantation. American Heart Journal. 143(1). 118–123. 50 indexed citations
10.
Grünewald, Martin, et al.. (2002). Paradoxical hyperfibrinolysis is associated with a more intensely haemorrhagic phenotype in severe congenital haemophilia. Haemophilia. 8(6). 768–775. 35 indexed citations
11.
Wallaschofski, Henri, Martin Eigenthaler, B. Hentschel, et al.. (2001). PRL as a Novel Potent Cofactor for Platelet Aggregation. The Journal of Clinical Endocrinology & Metabolism. 86(12). 5912–5919. 62 indexed citations
12.
Koksch, Mario, et al.. (2001). Coagulation, Fibrinolysis and Platelet P-selectin Expression in Peripheral Vascular Disease. European Journal of Vascular and Endovascular Surgery. 21(2). 147–154. 32 indexed citations
13.
14.
Schumann, F. O., Annett Müller, Mario Koksch, Gerhard Müller, & Norbert Sewald. (2000). Are β-Amino Acids γ-Turn Mimetics? Exploring A New Design Principle for Bioactive Cyclopeptides. Journal of the American Chemical Society. 122(48). 12009–12010. 92 indexed citations
15.
Stephan, Susanne, et al.. (2000). P-Selectin expression, platelet aggregates, and platelet-derived microparticle formation are increased in peripheral arterial disease. Blood Coagulation & Fibrinolysis. 11(8). 723–728. 73 indexed citations
16.
Koksch, Mario, et al.. (1999). Haemostatic derangement in advanced peripheral occlusive arterial disease.. PubMed. 18(4). 256–62. 17 indexed citations
17.
Black, G. Brian, et al.. (1996). Cardiopulmonary bypass leads to a preferential loss of activated plateletsA flow cytometric assay of platelet surface antigens. European Journal of Cardio-Thoracic Surgery. 10(9). 768–773. 38 indexed citations
18.
Wahba, Alexander, G. Brian Black, Mario Koksch, et al.. (1996). Aprotinin Has no Effect on Platelet Activation and Adhesion during Cardiopulmonary Bypass. Thrombosis and Haemostasis. 75(5). 844–848. 35 indexed citations
19.
Koksch, Mario, G. Rothe, V. Kiefel, & Gerd Schmitz. (1995). Fluorescence resonance energy transfer as a new method for the epitope-specific characterization of anti-platelet antibodies. Journal of Immunological Methods. 187(1). 53–67. 25 indexed citations
20.
Koksch, Mario, et al.. (1992). [In vitro effects of low molecular weight dextran on the surface properties of LDL].. PubMed. 47(11). 535–7. 1 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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