John Hackmann
Impact in
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- Breast Cancer Treatment Studies
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- Cancer Treatment and Pharmacology
- HER2/EGFR in Cancer Research
Papers in
- Oncology 10
- Cancer Treatment and Pharmacology 5
- PARP inhibition in cancer therapy 3
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- Breast Cancer Treatment Studies 6
- Cancer Genomics and Diagnostics 3
- Co-authors
- Toralf Reimer (6 shared papers)Wolfgang Hatzmann (2 shared papers)Christoph Uleer (8 shared papers)Claudia Schumacher (7 shared papers)Ulrike Nitz (8 shared papers)Werner Bader (1 shared paper)P. van Leeuwen (1 shared paper)Oleg Gluz (8 shared papers)
In The Last Decade
John Hackmann
18 papers receiving 178 citations
Peers
Comparison fields: 5 of 43
- Cancer Research 93
- Oncology 88
- Hematology 26
- Geriatrics and Gerontology 7
- Pathology and Forensic Medicine 32
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 | 43 | |
| 2 | 2018 | 30 | |
| 3 | 2000 | 22 | |
| 4 | 2013 | 15 | |
| 5 | 2022 | 13 | |
| 6 | 2008 | 11 | |
| 7 | 2011 | 11 | |
| 8 | 2015 | 10 | |
| 9 | 2018 | 4 | |
| 10 | 2009 | 4 | |
| 11 | Phenotypic characterization of T-suppressor lymphocytes induced by orthotopic rat liver transplantation. | 1989 | 4 |
| 12 | 2011 | 3 | |
| 13 | 2018 | 3 | |
| 14 | 2017 | 2 | |
| 15 | 2011 | 2 | |
| 16 | The influence of MHC subregions on the induction of suppressor cells after orthotopic rat liver transplantation. | 1989 | 1 |
| 17 | 2019 | 1 | |
| 18 | 2022 | 1 |
About John Hackmann
John Hackmann is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 180 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Cancer Treatment and Pharmacology (5 papers), Advanced Breast Cancer Therapies (4 papers), Biosimilars and Bioanalytical Methods (3 papers), PARP inhibition in cancer therapy (3 papers), Cancer Genomics and Diagnostics (3 papers), Immune Cell Function and Interaction (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Cancer Research (93 citations), Oncology (88 citations), Hematology (26 citations), Geriatrics and Gerontology (7 citations) and Pathology and Forensic Medicine (32 citations). John Hackmann has collaborated with scholars based in Germany, France and China. Frequent co-authors include Toralf Reimer, Wolfgang Hatzmann, Christoph Uleer, Claudia Schumacher, Ulrike Nitz, Werner Bader, P. van Leeuwen, Oleg Gluz, Ronald Kates and Nadia Harbeck. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Annals of Oncology, Cancer and Ultrasound in Obstetrics and Gynecology.
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.