Johan Hartman
Impact in
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
- Oncology top 1%
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
Papers in
-
- Breast Cancer Treatment Studies 18
- Cancer Genomics and Diagnostics 14
- Oncology 40
- HER2/EGFR in Cancer Research 12
- Cancer Cells and Metastasis 9
- Co-authors
- Anders Ström (9 shared papers)Jan-Ακε Gustafsson (9 shared papers)Mattias Rantalainen (18 shared papers)Balázs Ács (20 shared papers)Jonas Bergh (33 shared papers)A.C.W. Pike (1 shared paper)Jason Matthews (1 shared paper)Guojun Cheng (1 shared paper)
- Journals
- Breast Cancer Research (11 papers)Cancer Research (9 papers)Nature Communications (5 papers)Breast Cancer Research and Treatment (5 papers)Scientific Reports (4 papers)
- Partner nations
- SwedenUnited StatesFinland
In The Last Decade
Johan Hartman
105 papers receiving 6.8k citations
Johan Hartman's Hit Papers
Peers
Comparison fields: 5 of 150
- Cancer Research 1.5k
- Oncology 2.0k
- Health Informatics 88
- Genetics 1.7k
- Molecular Biology 2.5k
Countries citing papers authored by Johan Hartman
This map shows the geographic impact of Johan Hartman'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 Johan Hartman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Hartman more than expected).
Fields of papers citing papers by Johan Hartman
This network shows the impact of papers produced by Johan Hartman. 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 Johan Hartman. The network helps show where Johan Hartman may publish in the future.
Co-authors
The 25 scholars most cited alongside Johan Hartman, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Estrogen Receptors: How Do They Signal and What Are Their Targets Hit paper breakdown → | 2007 | 1407 |
| 2 | Chemoresistance Evolution in Triple-Negative Breast Cancer Delineated by Single-Cell Sequencing Hit paper breakdown → | 2018 | 713 |
| 3 | 2004 | 451 | |
| 4 | 2012 | 376 | |
| 5 | 2020 | 290 | |
| 6 | 2016 | 276 | |
| 7 | 2017 | 207 | |
| 8 | 2006 | 172 | |
| 9 | 2009 | 172 | |
| 10 | 2016 | 133 | |
| 11 | 2010 | 132 | |
| 12 | 2021 | 131 | |
| 13 | 2013 | 125 | |
| 14 | 2014 | 114 | |
| 15 | 2018 | 110 | |
| 16 | 2009 | 106 | |
| 17 | 2012 | 94 | |
| 18 | 2014 | 80 | |
| 19 | 2017 | 72 | |
| 20 | 2023 | 71 |
About Johan Hartman
Johan Hartman is a scholar working on Cancer Research, Oncology, Molecular Biology, Genetics and Artificial Intelligence, having authored 114 papers that have together received 6.9k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (18 papers), Estrogen and related hormone effects (17 papers), AI in cancer detection (17 papers), Cancer Genomics and Diagnostics (14 papers), HER2/EGFR in Cancer Research (12 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Single-cell and spatial transcriptomics (9 papers) and Cancer Cells and Metastasis (9 papers). The work is most often cited by research in Cancer Research (1.5k citations), Oncology (2.0k citations), Health Informatics (88 citations), Genetics (1.7k citations) and Molecular Biology (2.5k citations). Johan Hartman has collaborated with scholars based in Sweden, United States and Finland. Frequent co-authors include Anders Ström, Jan-Ακε Gustafsson, Mattias Rantalainen, Balázs Ács, Jonas Bergh, A.C.W. Pike, Jason Matthews, Guojun Cheng, Eckardt Treuter and Michel Tujague. Their work appears in journals such as Breast Cancer Research, Cancer Research, Nature Communications, Breast Cancer Research and Treatment and Scientific Reports.
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.