R. Eckstein

1.8k citations
88 papers · 1.4k · h-index 23

Impact in

    • Blood transfusion and management
  • Hematology top 2%
    • Blood groups and transfusion
    • Hematopoietic Stem Cell Transplantation
    • Platelet Disorders and Treatments

Papers in

    • Hematopoietic Stem Cell Transplantation 14
    • Blood groups and transfusion 11
    • Platelet Disorders and Treatments 5
    • Blood transfusion and management 24

R. Eckstein

80 papers receiving 1.3k citations

Peers

R. Eckstein
Comparison fields: 5 of 91
  • Biochemistry 359
  • Hematology 394
  • Biological Psychiatry 76
  • Urology 129
  • Management of Technology and Innovation 147
Replace Gösta Berlin with:
Gösta Berlin Sweden
Francesca Masiello Italy
M. J. Elliott United Kingdom
Maria Bianchi Italy
Kristin Jochmans Belgium
Hugh C. Kim United States
Maria Cristina Tirindelli Italy
Pia Petrini Sweden
Marc Scherlinger France
H Hoogendoorn Canada
R. Eckstein relative to Gösta Berlin Sweden Gösta Berlin's profile →
Citations per field
00.5×20×40×60×76×
Gösta Berlin · 1×
Citations per year

Countries citing papers authored by R. Eckstein

Since Specialization
Citations

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

Fields of papers citing papers by R. Eckstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside R. Eckstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R. Eckstein Line = papers co-authored together R. Eckstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003131
2 1982105
3 199364
4 199754
5 199953
6 199948
7 199947
8 199745
9 199443
10 199542
11 199740
12 199939
13 200837
14 200634
15 200732
16 199832
17 200429
18 200528
19 199828
20 201326

About R. Eckstein

R. Eckstein is a scholar working on Hematology, Biochemistry, Immunology, Genetics and Genetics, having authored 88 papers that have together received 1.4k indexed citations. Recurring topics across this work include Blood transfusion and management (24 papers), Hematopoietic Stem Cell Transplantation (14 papers), Blood groups and transfusion (11 papers), Mesenchymal stem cell research (6 papers), Platelet Disorders and Treatments (5 papers), Blood donation and transfusion practices (5 papers), Erythrocyte Function and Pathophysiology (5 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Biochemistry (359 citations), Hematology (394 citations), Biological Psychiatry (76 citations), Urology (129 citations) and Management of Technology and Innovation (147 citations). R. Eckstein has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include R. Zimmermann, J. Zingsem, Volker Weisbach, J. Ringwald, Erwin Strasser, W Mempel, H.-D. Bolte, Norbert Müller, Andreas Schlegel and A. Glaser. Their work appears in journals such as Vox Sanguinis, Transfusion, Annals of Hematology, Journal of Molecular Medicine and Transfusion Medicine.

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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