R. Großmann

63 total papers · 1.1k total citations
37 papers, 789 citations indexed

About

R. Großmann is a scholar working on Hematology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, R. Großmann has authored 37 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Hematology, 10 papers in Surgery and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in R. Großmann's work include Blood Coagulation and Thrombosis Mechanisms (11 papers), Platelet Disorders and Treatments (8 papers) and Hemophilia Treatment and Research (8 papers). R. Großmann is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (11 papers), Platelet Disorders and Treatments (8 papers) and Hemophilia Treatment and Research (8 papers). R. Großmann collaborates with scholars based in Germany, Switzerland and United States. R. Großmann's co-authors include Ulrich Walter, Ulrich Geisen, C. M. Schambeck, Achim Obergfell, Barsom Aktas, Jörg Geiger, Lino L. Teichmann, Udo Steigerwald, Reinhard Schinzel and S. Schwender and has published in prestigious journals such as Blood, Diabetes Care and Clinical Chemistry.

In The Last Decade

R. Großmann

35 papers receiving 747 citations

Author Peers

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

Author						Papers	Cites
R. Großmann	357	304	240	209	87	37	789
Petter Järemo	174 0.5×	346 1.1×	183 0.8×	138 0.7×	56 0.6×	42	888
R. Junker	370 1.0×	133 0.4×	216 0.9×	196 0.9×	59 0.7×	30	894
Hajna Losonczy	256 0.7×	324 1.1×	152 0.6×	187 0.9×	30 0.3×	50	685
G. Freyburger	188 0.5×	174 0.6×	212 0.9×	244 1.2×	111 1.3×	34	881
Hiroshi Jokaji	336 0.9×	212 0.7×	122 0.5×	173 0.8×	62 0.7×	36	707
H. Lackner	240 0.7×	277 0.9×	299 1.2×	125 0.6×	37 0.4×	29	872
Yolanda Mira	521 1.5×	223 0.7×	119 0.5×	416 2.0×	27 0.3×	43	803
Nicholas Ossei‐Gerning	371 1.0×	331 1.1×	274 1.1×	76 0.4×	96 1.1×	23	902
Chika Uotani	365 1.0×	201 0.7×	155 0.6×	188 0.9×	39 0.4×	45	752
Fernando Ferrando	458 1.3×	223 0.7×	73 0.3×	351 1.7×	37 0.4×	36	744

Countries citing papers authored by R. Großmann

Since Specialization

Citations

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

Fields of papers citing papers by R. Großmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Großmann

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