Nina Graffmann
Impact in
- Hepatology top 10%
- Liver physiology and pathology
-
- Mesenchymal stem cell research
Papers in
-
- Pluripotent Stem Cells Research 13
- Renal and related cancers 10
- Epigenetics and DNA Methylation 5
- CRISPR and Genetic Engineering 5
- Surgery 8
- Pancreatic function and diabetes 6
- Co-authors
- James Adjaye (25 shared papers)Wasco Wruck (23 shared papers)Markus Uhrberg (5 shared papers)Lucas‐Sebastian Spitzhorn (5 shared papers)Simeon Santourlidis (4 shared papers)Hans‐Ingo Trompeter (1 shared paper)Martina Bohndorf (14 shared papers)Sarah Ferber (1 shared paper)
- Journals
- Stem Cell Research (12 papers)Stem Cells and Development (3 papers)Frontiers in Cell and Developmental Biology (3 papers)Stem Cell Research & Therapy (1 paper)PLoS ONE (1 paper)
- Partner nations
- GermanyUnited KingdomAustria
In The Last Decade
Nina Graffmann
28 papers receiving 486 citations
Peers
Comparison fields: 5 of 71
- Hepatology 69
- Genetics 65
- Developmental Neuroscience 14
- Molecular Biology 230
- Surgery 118
Countries citing papers authored by Nina Graffmann
This map shows the geographic impact of Nina Graffmann'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 Nina Graffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Graffmann more than expected).
Fields of papers citing papers by Nina Graffmann
This network shows the impact of papers produced by Nina Graffmann. 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 Nina Graffmann. The network helps show where Nina Graffmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Nina Graffmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 86 | |
| 2 | 2008 | 44 | |
| 3 | 2021 | 43 | |
| 4 | 2016 | 40 | |
| 5 | 2020 | 34 | |
| 6 | 2010 | 29 | |
| 7 | 2018 | 28 | |
| 8 | 2012 | 27 | |
| 9 | 2022 | 25 | |
| 10 | 2018 | 20 | |
| 11 | 2018 | 17 | |
| 12 | 2022 | 14 | |
| 13 | 2020 | 12 | |
| 14 | 2018 | 12 | |
| 15 | 2020 | 9 | |
| 16 | 2006 | 8 | |
| 17 | 2018 | 8 | |
| 18 | 2018 | 7 | |
| 19 | 2015 | 5 | |
| 20 | 2023 | 5 |
About Nina Graffmann
Nina Graffmann is a scholar working on Molecular Biology, Surgery, Epidemiology, Biochemistry and Hepatology, having authored 30 papers that have together received 488 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (13 papers), Renal and related cancers (10 papers), Pancreatic function and diabetes (6 papers), Epigenetics and DNA Methylation (5 papers), CRISPR and Genetic Engineering (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Liver physiology and pathology (3 papers) and Lipid metabolism and biosynthesis (3 papers). The work is most often cited by research in Hepatology (69 citations), Genetics (65 citations), Developmental Neuroscience (14 citations), Molecular Biology (230 citations) and Surgery (118 citations). Nina Graffmann has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include James Adjaye, Wasco Wruck, Markus Uhrberg, Lucas‐Sebastian Spitzhorn, Simeon Santourlidis, Hans‐Ingo Trompeter, Martina Bohndorf, Sarah Ferber, Lisa Nguyen and Lars Erichsen. Their work appears in journals such as Stem Cell Research, Stem Cells and Development, Frontiers in Cell and Developmental Biology, Stem Cell Research & Therapy and PLoS ONE.
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.