Markus Wiesneth

3.9k citations
118 papers · 2.7k indexed · h-index 31

Impact in

  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • Hematopoietic Stem Cell Transplantation 45
    • Blood groups and transfusion 12
    • Acute Myeloid Leukemia Research 11
    • Immunotherapy and Immune Responses 24
    • Immune Cell Function and Interaction 13

Markus Wiesneth

117 papers receiving 2.7k citations

Peers

Markus Wiesneth
Comparison fields: 5 of 108
  • Hematology 982
  • Immunology 903
  • Genetics 412
  • Oncology 802
  • Transplantation 74
Replace Mickey Koh with:
Mickey Koh United Kingdom
P Hervé France
Masahiro Imamura Japan
Shin Mineishi United States
R. Willemze Netherlands
H M Lazarus United States
Michele Falda Italy
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Nicolaas Schaap Netherlands
Luc Douay France
Markus Wiesneth relative to Mickey Koh United Kingdom Mickey Koh's profile →
Citations per field
00.5×1.7×
Mickey Koh · 1×
Citations per year

Countries citing papers authored by Markus Wiesneth

Since Specialization
Citations

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

Fields of papers citing papers by Markus Wiesneth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202012
2 201934
3 201810
4 20123
5 201014
6 2010170
7 200819
8 200839
9 200568
10 200454
11 200329
12
Myeloablative radioimmunotherapy with Re-188-labeled anti-CD66a,b,c,e-antibody for conditioning of high-risk ALL and CML patients prior to stem cell transplantation
20001
13 20008
14 20007
15 199935
16 199829
17 19951
18 199511
19 199473
20 19871

About Markus Wiesneth

Markus Wiesneth is a scholar working on Hematology, Immunology, Biochemistry, Genetics and Oncology, having authored 118 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (45 papers), Immunotherapy and Immune Responses (24 papers), CAR-T cell therapy research (19 papers), Immune Cell Function and Interaction (13 papers), Neutropenia and Cancer Infections (12 papers), Blood groups and transfusion (12 papers), Acute Myeloid Leukemia Research (11 papers) and Blood disorders and treatments (10 papers). The work is most often cited by research in Hematology (982 citations), Immunology (903 citations), Genetics (412 citations), Oncology (802 citations) and Transplantation (74 citations). Markus Wiesneth has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Donald Bunjes, Michael Schmitt, Hartmut Döhner, Jochen Greiner, Hubert Schrezenmeier, Bernd Hertenstein, Anita Schmitt, Peter Reinhardt, R. Arnold and H. Heimpel. Their work appears in journals such as Blood, Transfusion, British Journal of Haematology, Annals of Hematology and Vox Sanguinis.

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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