Milan Wickerhauser

37 total papers · 582 total citations
23 papers, 479 citations indexed

About

Milan Wickerhauser is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Milan Wickerhauser has authored 23 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hematology, 5 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Milan Wickerhauser's work include Hemophilia Treatment and Research (11 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers). Milan Wickerhauser is often cited by papers focused on Hemophilia Treatment and Research (11 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers). Milan Wickerhauser collaborates with scholars based in United States, Canada and Afghanistan. Milan Wickerhauser's co-authors include Michael M. Frank, D. C. Triantaphyllopoulos, Stephen W. Hosea, Jeffrey A. Gelfand, James E. Gadek, María L Santaella, J. F. B. Mercer, J. T. Sgouris, S. Gerald Sandler and Charles E. Rath and has published in prestigious journals such as New England Journal of Medicine, Thrombosis and Haemostasis and American Journal of Clinical Pathology.

In The Last Decade

Milan Wickerhauser

22 papers receiving 432 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Milan Wickerhauser	196	183	176	90	60	23	479
Johan Billiet	228 1.2×	181 1.0×	137 0.8×	43 0.5×	104 1.7×	17	496
J. Kramer	121 0.6×	82 0.4×	197 1.1×	59 0.7×	116 1.9×	24	504
M.J. Kroos	148 0.8×	221 1.2×	148 0.8×	130 1.4×	57 0.9×	33	532
Mirtha Romano	49 0.3×	101 0.6×	164 0.9×	60 0.7×	55 0.9×	19	520
Frank Schwoebel	169 0.9×	225 1.2×	209 1.2×	47 0.5×	76 1.3×	16	526
Raquel Alves	111 0.6×	179 1.0×	193 1.1×	18 0.2×	34 0.6×	33	416
Tess Schmalbach	99 0.5×	40 0.2×	113 0.6×	27 0.3×	148 2.5×	24	445
Ulrike Hebling	64 0.3×	85 0.5×	242 1.4×	73 0.8×	38 0.6×	15	461
Casey Brewer	126 0.6×	136 0.7×	164 0.9×	52 0.6×	30 0.5×	20	453
Katherine M. Morris	91 0.5×	106 0.6×	109 0.6×	31 0.3×	240 4.0×	14	433

Countries citing papers authored by Milan Wickerhauser

Since Specialization

Citations

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

Fields of papers citing papers by Milan Wickerhauser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Wickerhauser

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

All Works

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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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