R. Kokko
Impact in
- Cancer Research top 5%
- Breast Cancer Treatment Studies
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Cancer Treatment and Pharmacology
- Peptidase Inhibition and Analysis
- Global Cancer Incidence and Screening
Papers in
- Oncology 20
- Cancer Treatment and Pharmacology 14
- HER2/EGFR in Cancer Research 7
- Global Cancer Incidence and Screening 5
- Colorectal Cancer Treatments and Studies 2
-
- Breast Cancer Treatment Studies 18
- Co-authors
- Matti Hakama (6 shared papers)K Holli (3 shared papers)Vesa Kataja (10 shared papers)Heikki Joensuu (14 shared papers)Petri Bono (8 shared papers)Päivi Auvinen (8 shared papers)R. Asola (8 shared papers)Pirkko‐Liisa Kellokumpu‐Lehtinen (5 shared papers)
In The Last Decade
R. Kokko
22 papers receiving 805 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 410
- Oncology 650
- Radiology, Nuclear Medicine and Imaging 247
- Pathology and Forensic Medicine 107
- Pulmonary and Respiratory Medicine 163
Countries citing papers authored by R. Kokko
This map shows the geographic impact of R. Kokko'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 R. Kokko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Kokko more than expected).
Fields of papers citing papers by R. Kokko
This network shows the impact of papers produced by R. Kokko. 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 R. Kokko. The network helps show where R. Kokko may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Kokko, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 326 | |
| 2 | 2001 | 95 | |
| 3 | 2011 | 76 | |
| 4 | 2005 | 58 | |
| 5 | 2002 | 58 | |
| 6 | 2017 | 57 | |
| 7 | 2013 | 22 | |
| 8 | 2011 | 20 | |
| 9 | Weekly paclitaxel--an effective treatment for advanced breast cancer. | 2013 | 20 |
| 10 | 2009 | 19 | |
| 11 | 2001 | 16 | |
| 12 | 2003 | 13 | |
| 13 | 2010 | 10 | |
| 14 | 2016 | 9 | |
| 15 | 2001 | 8 | |
| 16 | 2009 | 8 | |
| 17 | 2009 | 5 | |
| 18 | 2005 | 5 | |
| 19 | 2010 | 4 | |
| 20 | 2007 | 3 |
About R. Kokko
R. Kokko is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Artificial Intelligence, having authored 22 papers that have together received 836 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (18 papers), Cancer Treatment and Pharmacology (14 papers), Advanced Breast Cancer Therapies (7 papers), HER2/EGFR in Cancer Research (7 papers), Global Cancer Incidence and Screening (5 papers), Digital Radiography and Breast Imaging (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Cancer Research (410 citations), Oncology (650 citations), Radiology, Nuclear Medicine and Imaging (247 citations), Pathology and Forensic Medicine (107 citations) and Pulmonary and Respiratory Medicine (163 citations). R. Kokko has collaborated with scholars based in Finland and Sweden. Frequent co-authors include Matti Hakama, K Holli, Vesa Kataja, Heikki Joensuu, Petri Bono, Päivi Auvinen, R. Asola, Pirkko‐Liisa Kellokumpu‐Lehtinen, Mika Leinonen and Leena Helle. Their work appears in journals such as Journal of Clinical Oncology, Breast Cancer Research and Treatment, Cancer Research, The Breast and Annals of 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.