Michael Tschannen
- Molecular Biology top 10%
- Cancer Research top 2%
- Genetics
- Pulmonary and Respiratory Medicine
- Cellular and Molecular Neuroscience
- Co-authors
- Meijun DuLiang WangHoward J. JacobManish KohliTiezheng YuanRachel L. DittmarStephen N. ThibodeauXiaoyi Huang
- Topics
- Genetic Mapping and Diversity in Plants and Animals (6 papers)Genetic Associations and Epidemiology (3 papers)Mitochondrial Function and Pathology (3 papers)
- Journals
- Cancer ResearchDiabetesGenetics
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Michael Tschannen
17 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.0k
- Cancer Research 722
- Genetics 108
- Pulmonary and Respiratory Medicine 84
- Cellular and Molecular Neuroscience 68
Countries citing papers authored by Michael Tschannen
This map shows the geographic impact of Michael Tschannen'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 Michael Tschannen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Tschannen more than expected).
Fields of papers citing papers by Michael Tschannen
This network shows the impact of papers produced by Michael Tschannen. 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 Michael Tschannen. The network helps show where Michael Tschannen may publish in the future.
Co-authorship network of co-authors of Michael Tschannen
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Tschannen. A scholar is included among the top collaborators of Michael Tschannen 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 Michael Tschannen. Michael Tschannen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 4 | |
| 3 | 69 | |
| 4 | 23 | |
| 5 | 56 | |
| 6 | 1 | |
| 7 | 38 | |
| 8 | 38 | |
| 9 | 44 | |
| 10 | Characterization of human plasma-derived exosomal RNAs by deep sequencingbreakdown → | 846 |
| 11 | 43 | |
| 12 | 2 | |
| 13 | 36 | |
| 14 | 7 | |
| 15 | 15 | |
| 16 | 29 | |
| 17 | 46 |
About Michael Tschannen
Michael Tschannen is a scholar working on Cancer Research, Endocrine and Autonomic Systems and Clinical Biochemistry, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetic Associations and Epidemiology (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Cancer Research (722 citations), Molecular Biology (1.0k citations) and Physiology (23 citations). Michael Tschannen has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Meijun Du, Liang Wang, Howard J. Jacob, Manish Kohli, Tiezheng Yuan, Rachel L. Dittmar, Stephen N. Thibodeau, Xiaoyi Huang, Lisa A. Boardman and Meihua Liang. Their work appears in journals such as Cancer Research, Diabetes and Genetics.
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.