John Hackmann
Impact in
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- Breast Cancer Treatment Studies
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- Erythropoietin and Anemia Treatment
Papers in
- Oncology 7
- Cancer Treatment and Pharmacology 4
- PARP inhibition in cancer therapy 2
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- Advanced Breast Cancer Therapies 4
- Co-authors
- Toralf Reimer (6 shared papers)Wolfgang Hatzmann (2 shared papers)Nadia Harbeck (7 shared papers)Oleg Gluz (8 shared papers)Ulrike Nitz (8 shared papers)P. van Leeuwen (1 shared paper)Werner Bader (1 shared paper)Christoph Uleer (8 shared papers)
- Journals
- Cancer Research (4 papers)Journal of Clinical Oncology (3 papers)Annals of Oncology (2 papers)European Journal of Cancer (1 paper)Bioanalysis (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
John Hackmann
18 papers receiving 184 citations
Peers
Comparison fields: 5 of 40
- Cancer Research 79
- Hematology 26
- Oncology 48
- Pathology and Forensic Medicine 18
- Biochemistry 6
Countries citing papers authored by John Hackmann
This map shows the geographic impact of John Hackmann'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 John Hackmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Hackmann more than expected).
Fields of papers citing papers by John Hackmann
This network shows the impact of papers produced by John Hackmann. 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 John Hackmann. The network helps show where John Hackmann may publish in the future.
Co-authors
The 25 scholars most cited alongside John Hackmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 44 | |
| 2 | 2018 | 30 | |
| 3 | 2000 | 23 | |
| 4 | 2013 | 15 | |
| 5 | 2022 | 14 | |
| 6 | 2008 | 11 | |
| 7 | 2011 | 11 | |
| 8 | 2015 | 11 | |
| 9 | 2009 | 4 | |
| 10 | 2011 | 4 | |
| 11 | 2018 | 4 | |
| 12 | Phenotypic characterization of T-suppressor lymphocytes induced by orthotopic rat liver transplantation. | 1989 | 4 |
| 13 | 2018 | 3 | |
| 14 | 2017 | 2 | |
| 15 | 2011 | 2 | |
| 16 | 2019 | 1 | |
| 17 | The influence of MHC subregions on the induction of suppressor cells after orthotopic rat liver transplantation. | 1989 | 1 |
| 18 | 2022 | 1 |
About John Hackmann
John Hackmann is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Immunology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 185 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (4 papers), Advanced Breast Cancer Therapies (4 papers), Breast Cancer Treatment Studies (4 papers), Cancer Genomics and Diagnostics (3 papers), Biosimilars and Bioanalytical Methods (3 papers), PARP inhibition in cancer therapy (2 papers), Estrogen and related hormone effects (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Cancer Research (79 citations), Hematology (26 citations), Oncology (48 citations), Pathology and Forensic Medicine (18 citations) and Biochemistry (6 citations). John Hackmann has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Toralf Reimer, Wolfgang Hatzmann, Nadia Harbeck, Oleg Gluz, Ulrike Nitz, P. van Leeuwen, Werner Bader, Christoph Uleer, Claudia Schumacher and Ronald Kates. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Annals of Oncology, European Journal of Cancer and Bioanalysis.
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.