Iris Lindner
Impact in
- Genetics top 10%
- Forensic and Genetic Research
- Genetic diversity and population structure
- Race, Genetics, and Society
- Virus-based gene therapy research
- Genetic Associations and Epidemiology
- Archeology top 10%
- Forensic Anthropology and Bioarchaeology Studies
Papers in
-
- Hematopoietic Stem Cell Transplantation 6
- Genetics 5
- Forensic and Genetic Research 5
- Mesenchymal stem cell research 4
- Virus-based gene therapy research 3
- Co-authors
- Michael Goltz (3 shared papers)Bernhard Ehlers (3 shared papers)Andreas Büttner (4 shared papers)Maike Lorenz (1 shared paper)Anja Kunert (1 shared paper)Martin Hagemann (1 shared paper)Arne Schoor (1 shared paper)Jürgen Zentek (1 shared paper)
In The Last Decade
Iris Lindner
18 papers receiving 408 citations
Peers
Comparison fields: 5 of 73
- Genetics 290
- Archeology 35
- Transplantation 8
- Molecular Biology 160
- Hematology 18
Countries citing papers authored by Iris Lindner
This map shows the geographic impact of Iris Lindner'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 Iris Lindner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iris Lindner more than expected).
Fields of papers citing papers by Iris Lindner
This network shows the impact of papers produced by Iris Lindner. 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 Iris Lindner. The network helps show where Iris Lindner may publish in the future.
Co-authors
The 25 scholars most cited alongside Iris Lindner, 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 | 2014 | 220 | |
| 2 | 2012 | 33 | |
| 3 | 2001 | 33 | |
| 4 | 2008 | 23 | |
| 5 | 2006 | 19 | |
| 6 | 2006 | 18 | |
| 7 | 2014 | 13 | |
| 8 | 2014 | 12 | |
| 9 | 2016 | 9 | |
| 10 | 2006 | 8 | |
| 11 | 2012 | 7 | |
| 12 | 2019 | 5 | |
| 13 | 2011 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2016 | 2 | |
| 17 | 2010 | 2 | |
| 18 | 2014 | 1 | |
| 19 | 2016 | 0 |
About Iris Lindner
Iris Lindner is a scholar working on Hematology, Genetics, Genetics, Immunology and Archeology, having authored 19 papers that have together received 415 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Forensic and Genetic Research (5 papers), Mesenchymal stem cell research (4 papers), Virus-based gene therapy research (3 papers), Immunotherapy and Immune Responses (2 papers), Forensic Anthropology and Bioarchaeology Studies (2 papers), Molecular Biology Techniques and Applications (2 papers) and Xenotransplantation and immune response (2 papers). The work is most often cited by research in Genetics (290 citations), Archeology (35 citations), Transplantation (8 citations), Molecular Biology (160 citations) and Hematology (18 citations). Iris Lindner has collaborated with scholars based in Germany, Italy and Poland. Frequent co-authors include Michael Goltz, Bernhard Ehlers, Andreas Büttner, Maike Lorenz, Anja Kunert, Martin Hagemann, Arne Schoor, Jürgen Zentek, Wageha A. Awad and Habib Rehman. Their work appears in journals such as Transplantation and Cellular Therapy, Forensic Science International Genetics, Xenotransplantation, Blood and Virology.
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.