Pia Herrmann
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
- Cancer Cells and Metastasis
- Cancer Research top 10%
Papers in
-
- S100 Proteins and Annexins 7
- Cancer-related gene regulation 4
- Oncology 10
- Pancreatic and Hepatic Oncology Research 3
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Ulrike Stein (25 shared papers)Peter M. Schlag (9 shared papers)Ralf C. Bargou (4 shared papers)Manik Chatterjee (4 shared papers)Kurt Bommert (4 shared papers)Thorsten Stühmer (2 shared papers)Janice Smith (8 shared papers)Bernd Dörken (3 shared papers)
- Journals
- Blood (4 papers)Cancers (4 papers)Cancer Research (2 papers)Oncotarget (2 papers)Journal of Clinical Oncology (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Pia Herrmann
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Oncology 381
- Cancer Research 191
- Hematology 142
- Pathology and Forensic Medicine 155
- Molecular Biology 616
Countries citing papers authored by Pia Herrmann
This map shows the geographic impact of Pia Herrmann'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 Pia Herrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pia Herrmann more than expected).
Fields of papers citing papers by Pia Herrmann
This network shows the impact of papers produced by Pia Herrmann. 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 Pia Herrmann. The network helps show where Pia Herrmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Pia Herrmann, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 140 | |
| 2 | 2014 | 130 | |
| 3 | 2004 | 110 | |
| 4 | 2014 | 94 | |
| 5 | 2002 | 77 | |
| 6 | 2011 | 76 | |
| 7 | 2012 | 62 | |
| 8 | 2012 | 59 | |
| 9 | 2013 | 45 | |
| 10 | 2015 | 43 | |
| 11 | 2011 | 41 | |
| 12 | 2019 | 40 | |
| 13 | 2015 | 24 | |
| 14 | 2017 | 23 | |
| 15 | 2012 | 22 | |
| 16 | 2020 | 22 | |
| 17 | 2015 | 19 | |
| 18 | The new cyclosporine derivative, SDZ IMM 125: in vitro and in vivo pharmacologic effects. | 1992 | 18 |
| 19 | 2022 | 17 | |
| 20 | 2018 | 17 |
About Pia Herrmann
Pia Herrmann is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include S100 Proteins and Annexins (7 papers), Cancer-related gene regulation (4 papers), Multiple Myeloma Research and Treatments (4 papers), Ferroptosis and cancer prognosis (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Genetic factors in colorectal cancer (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Oncology (381 citations), Cancer Research (191 citations), Hematology (142 citations), Pathology and Forensic Medicine (155 citations) and Molecular Biology (616 citations). Pia Herrmann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Ulrike Stein, Peter M. Schlag, Ralf C. Bargou, Manik Chatterjee, Kurt Bommert, Thorsten Stühmer, Janice Smith, Bernd Dörken, Marc Osterland and Susen Burock. Their work appears in journals such as Blood, Cancers, Cancer Research, Oncotarget 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.