Irmela Sulzer

858 total citations
24 papers, 590 citations indexed

About

Irmela Sulzer is a scholar working on Hematology, Genetics and Surgery. According to data from OpenAlex, Irmela Sulzer has authored 24 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Hematology, 8 papers in Genetics and 7 papers in Surgery. Recurrent topics in Irmela Sulzer's work include Blood Coagulation and Thrombosis Mechanisms (9 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers) and Heparin-Induced Thrombocytopenia and Thrombosis (6 papers). Irmela Sulzer is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (9 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers) and Heparin-Induced Thrombocytopenia and Thrombosis (6 papers). Irmela Sulzer collaborates with scholars based in Switzerland, Netherlands and United Kingdom. Irmela Sulzer's co-authors include Bernhard Lämmle, Walter A. Wuillemin, Lorenzo Alberio, M. Furlan, Miha Furlan, Bernd R. Binder, Franziska Demarmels Biasiutti, Johanna A. Kremer Hovinga, Maurice Redondo and Christoph Merlo and has published in prestigious journals such as Blood, The American Journal of Medicine and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Irmela Sulzer

24 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Irmela Sulzer Switzerland 14 350 170 138 127 120 24 590
P Beris Switzerland 13 589 1.7× 306 1.8× 155 1.1× 79 0.6× 60 0.5× 27 959
Hiroshi Jokaji Japan 17 334 1.0× 63 0.4× 122 0.9× 173 1.4× 42 0.3× 36 703
Bell Wr United States 15 243 0.7× 97 0.6× 168 1.2× 99 0.8× 63 0.5× 28 631
Jan J. Veltkamp Netherlands 14 735 2.1× 200 1.2× 144 1.0× 253 2.0× 35 0.3× 22 1.1k
S Barzegar United States 11 507 1.4× 132 0.8× 93 0.7× 187 1.5× 55 0.5× 15 781
Véronique Le Cam‐Duchez France 13 346 1.0× 89 0.5× 52 0.4× 111 0.9× 47 0.4× 33 582
Katherine Marsden Australia 19 488 1.4× 95 0.6× 177 1.3× 222 1.7× 49 0.4× 39 889
Keiji Aoshima Japan 12 233 0.7× 44 0.3× 81 0.6× 126 1.0× 36 0.3× 25 451
Rossella Cacciola Italy 13 144 0.4× 112 0.7× 104 0.8× 37 0.3× 52 0.4× 43 510
Hiroyuki Uchiyama Japan 6 259 0.7× 43 0.3× 40 0.3× 168 1.3× 32 0.3× 8 475

Countries citing papers authored by Irmela Sulzer

Since Specialization
Citations

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

Fields of papers citing papers by Irmela Sulzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irmela Sulzer

This figure shows the co-authorship network connecting the top 25 collaborators of Irmela Sulzer. A scholar is included among the top collaborators of Irmela Sulzer 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 Irmela Sulzer. Irmela Sulzer 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.
Pedrazzini, Giovanni, Luigi Biasco, Irmela Sulzer, et al.. (2016). Acquired intracoronary ADAMTS13 deficiency and VWF retention at sites of critical coronary stenosis in patients with STEMI. Blood. 127(23). 2934–2936. 10 indexed citations
2.
George, JN, Sara K. Vesely, Deirdra R. Terrell, et al.. (2011). Evidence for a role of anti-ADAMTS13 autoantibodies despite normal ADAMTS13 activity in recurrent thrombotic thrombocytopenic purpura. Haematologica. 97(2). 297–303. 55 indexed citations
3.
Sulzer, Irmela, et al.. (2011). Rapid exclusion or confirmation of heparin-induced thrombocytopenia: a single-center experience with 1,291 patients. Haematologica. 97(1). 89–97. 50 indexed citations
5.
Luginbühl, Reto, et al.. (2010). Screening for lupus anticoagulant: improving the performance of the lupus-sensitive PTT-LA. International Journal of Laboratory Hematology. 33(2). 168–175. 2 indexed citations
6.
Colucci, Giuseppe, et al.. (2009). Variability of anti‐PF4/heparin antibody results obtained by the rapid testing system ID‐H/PF4‐PaGIA. Journal of Thrombosis and Haemostasis. 7(10). 1649–1655. 20 indexed citations
7.
Sulzer, Irmela, et al.. (2008). Stability of coagulation assays performed in plasma from citrated whole blood transported at ambient temperature. Thrombosis and Haemostasis. 99(2). 416–426. 64 indexed citations
8.
Asmis, Reto, et al.. (2008). Contact system activation in human sepsis - 47kD HK, a marker of sepsis severity?. Swiss Medical Weekly. 138(910). 142–149. 15 indexed citations
9.
Zeerleder, Sacha, Christoph Caliezi, Gerard van Mierlo, et al.. (2003). Administration of C1 Inhibitor Reduces Neutrophil Activation in Patients with Sepsis. Clinical and Vaccine Immunology. 10(4). 529–535. 57 indexed citations
10.
Merlo, Christoph, Walter A. Wuillemin, Maurice Redondo, et al.. (2002). Elevated levels of plasma prekallikrein, high molecular weight kininogen and factor XI in coronary heart disease. Atherosclerosis. 161(2). 261–267. 55 indexed citations
11.
Asmis, Lars M., Irmela Sulzer, Miha Furlan, & Bernhard Lämmle. (2002). Prekallikrein deficiency. Thrombosis Research. 105(6). 463–470. 36 indexed citations
12.
Caliezi, Christoph, Iris Baumgärtner, Irmela Sulzer, et al.. (1999). Performance of a New Fibrin Monomer Assay to Exclude Deep Vein Thrombosis in Symptomatic Outpatients. Thrombosis and Haemostasis. 81(1). 50–53. 15 indexed citations
13.
Redondo, Maurice, Herbert Watzke, Irmela Sulzer, et al.. (1999). Coagulation Factors II, V, VII, and X, Prothrombin Gene 20210G→A Transition, and Factor V Leiden in Coronary Artery Disease. Arteriosclerosis Thrombosis and Vascular Biology. 19(4). 1020–1025. 76 indexed citations
14.
Biasiutti, Franziska Demarmels, Christoph Merlo, M. Furlan, et al.. (1995). No association of APC resistance with myocardial infarction. Blood Coagulation & Fibrinolysis. 6(5). 456–459. 33 indexed citations
15.
Sulzer, Irmela, et al.. (1992). Determination of thrombin-antithrombin-III-complex is not a suitable screening test for detecting deficiency of protein C or protein S. Thrombosis Research. 66(6). 775–777. 1 indexed citations
16.
Lämmle, Bernhard, M. Furlan, & Irmela Sulzer. (1989). [Comparison of a sensitive rabbit brain thromboplastin and a human placenta thromboplastin for thromboplastin time determination].. PubMed. 119(6). 178–83. 3 indexed citations
17.
Thommen, Daniela S., et al.. (1989). [Hemostasis parameters in 55 patients with venous and/or arterial thromboembolisms].. PubMed. 119(16). 493–9. 16 indexed citations
18.
Stricker, Hans, Bernhard Lämmle, Miha Furlan, & Irmela Sulzer. (1988). Heparin-dependent in vitro aggregation of normal platelets by plasma of a patient with heparin-induced skin necrosis: specific diagnostic test for a rare side effect. The American Journal of Medicine. 85(5). 721–724. 24 indexed citations
19.
Thommen, Daniela S., et al.. (1988). [Measurement of bleeding time and study of thrombocyte aggregation. Standardization of methods, normal values and results in patients with suspected hemorrhagic diathesis].. PubMed. 118(43). 1559–67. 8 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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