Curt H. Hagedorn
- Molecular Biology top 2%
- Hepatology top 0.2%
- Epidemiology top 1%
- Cancer Research top 1%
- Immunology top 2%
- Co-authors
- Bryan R. CullenXuezhong CaiLing LüChunhua LiYou-kyung ChoiJames M. PhangDavid A. BrennerDon A. Delker
- Topics
- Hepatitis C virus research (32 papers)Hepatitis B Virus Studies (19 papers)RNA and protein synthesis mechanisms (18 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesChinaJapan
In The Last Decade
Curt H. Hagedorn
88 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 3.4k
- Hepatology 2.2k
- Epidemiology 1.7k
- Cancer Research 1.6k
- Immunology 976
Countries citing papers authored by Curt H. Hagedorn
This map shows the geographic impact of Curt H. Hagedorn'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 Curt H. Hagedorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Curt H. Hagedorn more than expected).
Fields of papers citing papers by Curt H. Hagedorn
This network shows the impact of papers produced by Curt H. Hagedorn. 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 Curt H. Hagedorn. The network helps show where Curt H. Hagedorn may publish in the future.
Co-authorship network of co-authors of Curt H. Hagedorn
This figure shows the co-authorship network connecting the top 25 collaborators of Curt H. Hagedorn. A scholar is included among the top collaborators of Curt H. Hagedorn 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 Curt H. Hagedorn. Curt H. Hagedorn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 41 | |
| 4 | 49 | |
| 5 | 60 | |
| 6 | 121 | |
| 7 | 352 | |
| 8 | 24 | |
| 9 | 15 | |
| 10 | 16 | |
| 11 | 392 | |
| 12 | 24 | |
| 13 | Phylogenetic analysis of global hepatitis E virus sequences: genetic diversity, subtypes and zoonosisbreakdown → | 616 |
| 14 | 10 | |
| 15 | Human microRNAs are processed from capped, polyadenylated transcripts that can also function as mRNAsbreakdown → | 1375 |
| 16 | 60 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | 99 | |
| 20 | 317 |
About Curt H. Hagedorn
Curt H. Hagedorn is a scholar working on Hepatology, Epidemiology and Molecular Biology, having authored 90 papers that have together received 7.3k indexed citations. Recurring topics across this work include Hepatitis C virus research (32 papers), Hepatitis B Virus Studies (19 papers) and RNA and protein synthesis mechanisms (18 papers). The work is most often cited by research in Hepatology (2.2k citations), Cancer Research (1.6k citations) and Molecular Biology (3.4k citations). Curt H. Hagedorn has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Bryan R. Cullen, Xuezhong Cai, Ling Lü, Chunhua Li, You-kyung Choi, James M. Phang, David A. Brenner, Don A. Delker, Yuxia Zhang and David W. Haas. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.