John Hackmann
Impact in
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- Breast Cancer Treatment Studies
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- Erythropoietin and Anemia Treatment
Papers in
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- Biosimilars and Bioanalytical Methods 2
- Immune Cell Function and Interaction 2
- Co-authors
- Wolfgang Hatzmann (2 shared papers)Toralf Reimer (5 shared papers)Peter Van Leeuwen (1 shared paper)Werner Bader (1 shared paper)Oleg Gluz (4 shared papers)N. Harbeck (4 shared papers)Christoph Uleer (4 shared papers)Claudia Schumacher (3 shared papers)
- Journals
- Annals of Oncology (2 papers)Cancer Research (2 papers)Cancer (1 paper)Bioanalysis (1 paper)Ultrasound in Obstetrics and Gynecology (1 paper)
- Partner nations
- GermanyNetherlandsChina
In The Last Decade
John Hackmann
13 papers receiving 171 citations
Peers
Comparison fields: 5 of 41
- Cancer Research 69
- Hematology 23
- Oncology 43
- Geriatrics and Gerontology 4
- Biochemistry 7
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 | 47 | |
| 2 | 2018 | 31 | |
| 3 | 2000 | 25 | |
| 4 | 2013 | 16 | |
| 5 | 2022 | 14 | |
| 6 | 2011 | 12 | |
| 7 | 2008 | 11 | |
| 8 | Phenotypic characterization of T-suppressor lymphocytes induced by orthotopic rat liver transplantation. | 1989 | 5 |
| 9 | 2011 | 5 | |
| 10 | 2018 | 5 | |
| 11 | 2011 | 2 | |
| 12 | 2022 | 1 | |
| 13 | The influence of MHC subregions on the induction of suppressor cells after orthotopic rat liver transplantation. | 1989 | 1 |
About John Hackmann
John Hackmann is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 175 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (2 papers), Immune Cell Function and Interaction (2 papers), Cancer Genomics and Diagnostics (1 paper), Protein purification and stability (1 paper), Cell death mechanisms and regulation (1 paper), Advanced Breast Cancer Therapies (1 paper), Estrogen and related hormone effects (1 paper) and Brain Metastases and Treatment (1 paper). The work is most often cited by research in Cancer Research (69 citations), Hematology (23 citations), Oncology (43 citations), Geriatrics and Gerontology (4 citations) and Biochemistry (7 citations). John Hackmann has collaborated with scholars based in Germany, Netherlands and China. Frequent co-authors include Wolfgang Hatzmann, Toralf Reimer, Peter Van Leeuwen, Werner Bader, Oleg Gluz, N. Harbeck, Christoph Uleer, Claudia Schumacher, Ulrike Anneliese Nitz and Joerg Heil. Their work appears in journals such as Annals of Oncology, Cancer Research, Cancer, Bioanalysis 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.