Dmitri Wiederschain
- Molecular Biology top 5%
- Oncology top 2%
- Cancer Research top 1%
- Hematology top 2%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Marsha A. MosesHidehiko KawaiZhi-Min YuanChristoph LengauerAlice LooJijie GuKevin R. LoughlinCarolyn C. Lamb
- Topics
- Cancer-related Molecular Pathways (11 papers)Epigenetics and DNA Methylation (8 papers)Protease and Inhibitor Mechanisms (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- United StatesFranceGermany
In The Last Decade
Dmitri Wiederschain
44 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 2.5k
- Oncology 1.6k
- Cancer Research 1.2k
- Hematology 453
- Pulmonary and Respiratory Medicine 330
Countries citing papers authored by Dmitri Wiederschain
This map shows the geographic impact of Dmitri Wiederschain'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 Dmitri Wiederschain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitri Wiederschain more than expected).
Fields of papers citing papers by Dmitri Wiederschain
This network shows the impact of papers produced by Dmitri Wiederschain. 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 Dmitri Wiederschain. The network helps show where Dmitri Wiederschain may publish in the future.
Co-authorship network of co-authors of Dmitri Wiederschain
This figure shows the co-authorship network connecting the top 25 collaborators of Dmitri Wiederschain. A scholar is included among the top collaborators of Dmitri Wiederschain based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dmitri Wiederschain. Dmitri Wiederschain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 85 | |
| 3 | 13 | |
| 4 | 119 | |
| 5 | 24 | |
| 6 | 48 | |
| 7 | 306 | |
| 8 | 411 | |
| 9 | 124 | |
| 10 | 42 | |
| 11 | Multiple MLL fusion proteins suppress p53-mediated response to DNA damage | 0 |
| 12 | 139 | |
| 13 | 212 | |
| 14 | 42 | |
| 15 | 16 | |
| 16 | 33 | |
| 17 | 42 | |
| 18 | 213 | |
| 19 | 65 | |
| 20 | 36 |
About Dmitri Wiederschain
Dmitri Wiederschain is a scholar working on Immunology and Allergy, Oncology and Cancer Research, having authored 45 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (11 papers), Epigenetics and DNA Methylation (8 papers) and Protease and Inhibitor Mechanisms (7 papers). The work is most often cited by research in Cancer Research (1.2k citations), Oncology (1.6k citations) and Immunology and Allergy (279 citations). Dmitri Wiederschain has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Marsha A. Moses, Hidehiko Kawai, Zhi-Min Yuan, Christoph Lengauer, Alice Loo, Jijie Gu, Kevin R. Loughlin, Carolyn C. Lamb, David Zurakowski and Linghu Nie. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.