Michael Leisch

486 citations
14 papers · 273 indexed · h-index 9

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment 3
    • Mesenchymal stem cell research 2
    • Pluripotent Stem Cells Research 2

Michael Leisch

13 papers receiving 268 citations

Peers

Michael Leisch
Comparison fields: 5 of 59
  • Hematology 78
  • Genetics 54
  • Cancer Research 56
  • Oncology 72
  • Immunology 55
Replace M. Georget with:
M. Georget France
A. Keith Stewart United States
Youwen Qin China
Arda Durmaz United States
YH Kuo Taiwan
Katalin Csermak Switzerland
Christine Schneckenleithner Austria
Janet C. Reid Australia
Aijun Liao China
Nobuyoshi Hanaoka Japan
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Citations per field
00.5×4.7×
M. Georget · 1×
Citations per year

Countries citing papers authored by Michael Leisch

Since Specialization
Citations

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

Fields of papers citing papers by Michael Leisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201754
2 201945
3 201843
4 202037
5 201832
6 202113
7 201913
8 202312
9 201711
10 20177
11 20163
12 20212
13 20251
14 20220

About Michael Leisch

Michael Leisch is a scholar working on Genetics, Molecular Biology, Oncology, Hematology and Immunology, having authored 14 papers that have together received 273 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), CAR-T cell therapy research (3 papers), Mesenchymal stem cell research (2 papers), Cancer Genomics and Diagnostics (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Pluripotent Stem Cells Research (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Hematology (78 citations), Genetics (54 citations), Cancer Research (56 citations), Oncology (72 citations) and Immunology (55 citations). Michael Leisch has collaborated with scholars based in Austria, Germany and Slovakia. Frequent co-authors include Richard Greil, Lisa Pleyer, Alexander Egle, Nadja Zaborsky, Angela Risch, Roland Geisberger, Florian Huemer, Thomas Melchardt, Gabriel Rinnerthaler and Clemens Hufnagl. Their work appears in journals such as Cancers, International Journal of Molecular Sciences, Clinical Cancer Research, Pharmaceuticals and European Journal Of Haematology.

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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