Rainer Moog

1.1k citations
68 papers · 789 indexed · h-index 16

Impact in

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

Papers in

    • Blood groups and transfusion 17
    • Hematopoietic Stem Cell Transplantation 15
    • Platelet Disorders and Treatments 8
    • Blood transfusion and management 36

Rainer Moog

64 papers receiving 750 citations

Peers

Rainer Moog
Comparison fields: 5 of 88
  • Hematology 357
  • Biochemistry 184
  • Management of Technology and Innovation 185
  • Genetics 124
  • Oncology 202
Replace Shigeyoshi Makino with:
Shigeyoshi Makino Japan
Eduardo Muñiz‐Díaz Spain
Stella Larsson Sweden
Önder Arslan Türkiye
M. U. Heim Germany
T. de Witte Netherlands
Ryu Yanagisawa Japan
Gil Cunha De Santis Brazil
Huw Roddie United Kingdom
Richard Champlin United States
Rainer Moog relative to Shigeyoshi Makino Japan Shigeyoshi Makino's profile →
Citations per field
00.5×4.0×
Shigeyoshi Makino · 1×
Citations per year

Countries citing papers authored by Rainer Moog

Since Specialization
Citations

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

Fields of papers citing papers by Rainer Moog

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rainer Moog, 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 Rainer Moog Line = papers co-authored together Rainer Moog links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008108
2 200272
3 200637
4 199936
5 200831
6 200329
7 201228
8 200120
9 201019
10 200719
11 201217
12 200417
13 200917
14 199717
15 200716
16 200016
17 200115
18 200615
19 201514
20 200213

About Rainer Moog

Rainer Moog is a scholar working on Hematology, Biochemistry, Management of Technology and Innovation, Genetics and Oncology, having authored 68 papers that have together received 789 indexed citations. Recurring topics across this work include Blood transfusion and management (36 papers), Blood donation and transfusion practices (24 papers), Blood groups and transfusion (17 papers), Hematopoietic Stem Cell Transplantation (15 papers), Neutropenia and Cancer Infections (10 papers), Hemoglobinopathies and Related Disorders (9 papers), Blood disorders and treatments (9 papers) and Platelet Disorders and Treatments (8 papers). The work is most often cited by research in Hematology (357 citations), Biochemistry (184 citations), Management of Technology and Innovation (185 citations), Genetics (124 citations) and Oncology (202 citations). Rainer Moog has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Norbert Müller, Christina Peters, Kristina Hölig, A. Wacker, Ulrich Massing, Martin Brandl, Clemens Unger, Gerda Silling, Angelika Boehme and W. Grimminger. Their work appears in journals such as Journal of Clinical Apheresis, Transfusion, Vox Sanguinis, Transfusion Medicine and Annals of Hematology.

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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