M. Schnaidt

755 citations
26 papers · 540 · h-index 9

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Hematology top 5%
    • Blood groups and transfusion
    • Platelet Disorders and Treatments

Papers in

    • Platelet Disorders and Treatments 15
    • Blood groups and transfusion 14
    • Hematopoietic Stem Cell Transplantation 6
    • Immunodeficiency and Autoimmune Disorders 5
    • Complement system in diseases 3
    • T-cell and B-cell Immunology 2

M. Schnaidt

24 papers receiving 526 citations

Peers

M. Schnaidt
Comparison fields: 5 of 70
  • Transplantation 233
  • Hematology 219
  • Nephrology 57
  • Biochemistry 41
  • Immunology 134
Replace Sarah Peacock with:
Sarah Peacock United Kingdom
Emiliana Jelezarova Switzerland
Hannah Choe United States
Aki Sato Japan
Felix Sellberg Sweden
Roope Sihvola Finland
Ann McCormack United Kingdom
Jose Marino United States
Suat Dervish Australia
Rafael Andreu Spain
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Citations per field
00.5×6.8×
Sarah Peacock · 1×
Citations per year

Countries citing papers authored by M. Schnaidt

Since Specialization
Citations

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

Fields of papers citing papers by M. Schnaidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011177
2 201286
3 198182
4 199638
5 201538
6 201126
7 201923
8 200017
9 199213
10 19997
11 19947
12 19935
13
Antenatal treatment of alloimmune thrombocytopenia.
19924
14 19943
15 19933
16 19982
17 20031
18 20031
19 19921
20 19961

About M. Schnaidt

M. Schnaidt is a scholar working on Hematology, Immunology, Surgery, Genetics and Biochemistry, having authored 26 papers that have together received 540 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (15 papers), Blood groups and transfusion (14 papers), Hematopoietic Stem Cell Transplantation (6 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Complement system in diseases (3 papers), Blood transfusion and management (3 papers), Blood disorders and treatments (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Transplantation (233 citations), Hematology (219 citations), Nephrology (57 citations), Biochemistry (41 citations) and Immunology (134 citations). M. Schnaidt has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Dorothee Wernet, Christoph Weinstock, Christof Weinstock, W Schneider, Barbara D. Schmid-Horch, Hinnak Northoff, K. Marzusch, Mona Shing, Thomas M. Jovin and Gerhard Buchkremer. Their work appears in journals such as Vox Sanguinis, British Journal of Haematology, BJOG An International Journal of Obstetrics & Gynaecology, Transplantation and Clinical Infectious Diseases.

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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