Linping Chen-Wichmann
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
-
- Virus-based gene therapy research
Papers in
-
- Protein Degradation and Inhibitors 6
- Epigenetics and DNA Methylation 2
- Ubiquitin and proteasome pathways 1
-
- Acute Myeloid Leukemia Research 6
- Chronic Myeloid Leukemia Treatments 2
- Co-authors
- Manuel Grez (9 shared papers)Christian Brendel (7 shared papers)Christian Wichmann (9 shared papers)Stefan Stein (2 shared papers)Joachim Schwäble (3 shared papers)Jörn Lausen (3 shared papers)Ulrich Siler (2 shared papers)Michael Antoniou (1 shared paper)
- Journals
- Molecular Therapy (2 papers)Oncogene (2 papers)Frontiers in Genetics (1 paper)Experimental Hematology (1 paper)Blood (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Linping Chen-Wichmann
14 papers receiving 304 citations
Peers
Comparison fields: 5 of 55
- Hematology 90
- Genetics 108
- Molecular Biology 197
- Immunology 56
- Genetics 25
Countries citing papers authored by Linping Chen-Wichmann
This map shows the geographic impact of Linping Chen-Wichmann'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 Linping Chen-Wichmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linping Chen-Wichmann more than expected).
Fields of papers citing papers by Linping Chen-Wichmann
This network shows the impact of papers produced by Linping Chen-Wichmann. 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 Linping Chen-Wichmann. The network helps show where Linping Chen-Wichmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Linping Chen-Wichmann, 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 | 2016 | 60 | |
| 2 | 2011 | 49 | |
| 3 | 2014 | 37 | |
| 4 | 2019 | 34 | |
| 5 | 2010 | 33 | |
| 6 | 2012 | 26 | |
| 7 | 2014 | 22 | |
| 8 | 2013 | 17 | |
| 9 | 2020 | 14 | |
| 10 | 2018 | 7 | |
| 11 | 2013 | 3 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2022 | 1 |
About Linping Chen-Wichmann
Linping Chen-Wichmann is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Genetics, having authored 14 papers that have together received 305 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Protein Degradation and Inhibitors (6 papers), Virus-based gene therapy research (5 papers), CAR-T cell therapy research (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Epigenetics and DNA Methylation (2 papers), Viral Infections and Immunology Research (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Hematology (90 citations), Genetics (108 citations), Molecular Biology (197 citations), Immunology (56 citations) and Genetics (25 citations). Linping Chen-Wichmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Manuel Grez, Christian Brendel, Christian Wichmann, Stefan Stein, Joachim Schwäble, Jörn Lausen, Ulrich Siler, Michael Antoniou, Janine Reichenbach and Stephan Schultze‐Strasser. Their work appears in journals such as Molecular Therapy, Oncogene, Frontiers in Genetics, Experimental Hematology and Blood.
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.