Martin G. Sauer
- Immunology top 5%
- Immune Cell Function and Interaction 10
- Immunodeficiency and Autoimmune Disorders 6
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation 12
- Rheumatology top 5%
- Oncology top 10%
- CAR-T cell therapy research 18
- Genetics top 10%
- Hemoglobinopathies and Related Disorders 17
- Virus-based gene therapy research 12
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- Acute Lymphoblastic Leukemia research 14
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- Childhood Cancer Survivors' Quality of Life 5
- Co-authors
- Axel SchambachMichael MorganHildegard BüningMartin HapkeBirte HansenMatteo Bolomini‐VittoriNancy HoggKai C. Wollert
- Cited by
- ImmunologyHematologyRheumatology
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Martin G. Sauer
64 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 93
- Immunology 507
- Hematology 240
- Rheumatology 249
- Oncology 402
- Genetics 103
Countries citing papers authored by Martin G. Sauer
This map shows the geographic impact of Martin G. Sauer'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 Martin G. Sauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin G. Sauer more than expected).
Fields of papers citing papers by Martin G. Sauer
This network shows the impact of papers produced by Martin G. Sauer. 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 Martin G. Sauer. The network helps show where Martin G. Sauer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin G. Sauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 1 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 2 | |
| 7 | 2020 | 7 | |
| 8 | 2019 | 14 | |
| 9 | 2019 | 44 | |
| 10 | 2018 | 20 | |
| 11 | 2015 | 1 | |
| 12 | 2010 | 63 | |
| 13 | 2008 | 13 | |
| 14 | 2008 | 15 | |
| 15 | 2008 | 5 | |
| 16 | 2007 | 24 | |
| 17 | Diagnostic peritoneal lavage for assessing acute abdomen in pediatric oncology and stem cell transplantation patients. | 2004 | 1 |
| 18 | 2004 | 13 | |
| 19 | 2004 | 22 | |
| 20 | Heimerziehung und Familienprinzip | 1979 | 3 |
About Martin G. Sauer
Martin G. Sauer is a scholar working on Genetics, Hematology and Transplantation, having authored 71 papers that have together received 1.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (18 papers), Hemoglobinopathies and Related Disorders (17 papers), Acute Lymphoblastic Leukemia research (14 papers), Virus-based gene therapy research (12 papers), Hematopoietic Stem Cell Transplantation (12 papers), Immune Cell Function and Interaction (10 papers), Immunodeficiency and Autoimmune Disorders (6 papers) and Childhood Cancer Survivors' Quality of Life (5 papers). The work is most often cited by research in Immunology (507 citations), Hematology (240 citations) and Rheumatology (249 citations). Martin G. Sauer has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Axel Schambach, Michael Morgan, Hildegard Büning, Martin Hapke, Birte Hansen, Matteo Bolomini‐Vittori, Nancy Hogg, Kai C. Wollert, Carlo Laudanna and Stefan Butz. Their work appears in journals such as The Lancet, Journal of Clinical Investigation and Nature 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.