J Isola
- Oncology top 5%
- Cancer Research top 2%
- Molecular Biology
- Genetics top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Olli KallioniemiTapio VisakorpiK HolliT. KoivulaAnne KallioniemiA. HeikkinenTuula KuukasjärviNina N. Nupponen
- Topics
- Cancer-related Molecular Pathways (6 papers)Genomic variations and chromosomal abnormalities (4 papers)Breast Cancer Treatment Studies (4 papers)
- Partner nations
- FinlandUnited StatesSweden
In The Last Decade
J Isola
20 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 80
- Oncology 937
- Cancer Research 717
- Molecular Biology 676
- Genetics 426
- Pulmonary and Respiratory Medicine 416
Countries citing papers authored by J Isola
This map shows the geographic impact of J Isola'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 J Isola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Isola more than expected).
Fields of papers citing papers by J Isola
This network shows the impact of papers produced by J Isola. 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 J Isola. The network helps show where J Isola may publish in the future.
Co-authorship network of co-authors of J Isola
This figure shows the co-authorship network connecting the top 25 collaborators of J Isola. A scholar is included among the top collaborators of J Isola based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J Isola. J Isola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 2 | |
| 3 | 95 | |
| 4 | 23 | |
| 5 | 28 | |
| 6 | [HER-2/neu oncogene in the selection of treatment for breast cancer and as a target of immunotherapy]. | 1 |
| 7 | 42 | |
| 8 | 26 | |
| 9 | 110 | |
| 10 | 56 | |
| 11 | 7 | |
| 12 | Genetic heterogeneity and clonal evolution underlying development of asynchronous metastasis in human breast cancer. | 333 |
| 13 | Independent amplification and frequent co-amplification of three nonsyntenic regions on the long arm of chromosome 20 in human breast cancer. | 162 |
| 14 | 20 | |
| 15 | Amplification of chromosomal region 20q13 in invasive breast cancer: prognostic implications. | 119 |
| 16 | 25 | |
| 17 | 312 | |
| 18 | Expression of epidermal growth factor receptor and ERBB2 (HER-2/Neu) oncoprotein in prostatic carcinomas. | 81 |
| 19 | 262 | |
| 20 | 1 |
About J Isola
J Isola is a scholar working on Cancer Research, Oncology and Genetics, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), Genomic variations and chromosomal abnormalities (4 papers) and Breast Cancer Treatment Studies (4 papers). The work is most often cited by research in Cancer Research (717 citations), Oncology (937 citations) and Pathology and Forensic Medicine (290 citations). J Isola has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Olli Kallioniemi, Tapio Visakorpi, K Holli, T. Koivula, Anne Kallioniemi, A. Heikkinen, Tuula Kuukasjärvi, Nina N. Nupponen, Jack Cuzick and Minna Tanner. Their work appears in journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer Research.
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.