Hans Bitter
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Melanoma and MAPK Pathways 2
- Oncology 7
- CAR-T cell therapy research 5
- Co-authors
- Palanikumar Ravindran (9 shared papers)Sriram Sridhar (5 shared papers)Donavan T. Cheng (8 shared papers)Jay S. Fine (5 shared papers)Daniel J. Chin (5 shared papers)Christopher S. Stevenson (5 shared papers)Kyle L. Kolaja (3 shared papers)Lore Gruenbaum (4 shared papers)
- Journals
- PLoS ONE (4 papers)Blood (3 papers)Journal of Clinical Oncology (2 papers)Hepatology (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Hans Bitter
26 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Hepatology 142
- Cancer Research 165
- Pulmonary and Respiratory Medicine 272
- Immunology 169
- Epidemiology 246
Countries citing papers authored by Hans Bitter
This map shows the geographic impact of Hans Bitter'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 Hans Bitter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Bitter more than expected).
Fields of papers citing papers by Hans Bitter
This network shows the impact of papers produced by Hans Bitter. 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 Hans Bitter. The network helps show where Hans Bitter may publish in the future.
Co-authors
The 25 scholars most cited alongside Hans Bitter, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 170 | |
| 2 | 2013 | 167 | |
| 3 | 2011 | 80 | |
| 4 | 2012 | 79 | |
| 5 | 2005 | 78 | |
| 6 | 2012 | 76 | |
| 7 | 2014 | 64 | |
| 8 | 2013 | 62 | |
| 9 | 2012 | 46 | |
| 10 | 2013 | 43 | |
| 11 | 2009 | 41 | |
| 12 | 2016 | 40 | |
| 13 | 2012 | 39 | |
| 14 | 2012 | 39 | |
| 15 | 2015 | 36 | |
| 16 | 2001 | 23 | |
| 17 | 2020 | 21 | |
| 18 | 2016 | 15 | |
| 19 | 2016 | 13 | |
| 20 | 2018 | 12 |
About Hans Bitter
Hans Bitter is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Epidemiology, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Hepatitis B Virus Studies (4 papers), Cancer Genomics and Diagnostics (3 papers), MicroRNA in disease regulation (3 papers), Computational Drug Discovery Methods (2 papers), Melanoma and MAPK Pathways (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hepatology (142 citations), Cancer Research (165 citations), Pulmonary and Respiratory Medicine (272 citations), Immunology (169 citations) and Epidemiology (246 citations). Hans Bitter has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Palanikumar Ravindran, Sriram Sridhar, Donavan T. Cheng, Jay S. Fine, Daniel J. Chin, Christopher S. Stevenson, Kyle L. Kolaja, Lore Gruenbaum, Michael E. Burczynski and John Allard. Their work appears in journals such as PLoS ONE, Blood, Journal of Clinical Oncology, Hepatology and PLoS Computational Biology.
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.