Jonathan Tammela
- Molecular Biology
- Immunology top 10%
- Oncology
- Cancer Research
- Reproductive Medicine top 5%
- Co-authors
- Kunle OdunsiShashikant LeleJohn P. GeislerFeng QianBernadette KeitzMarilyn IntenganDeborah DriscollRobert M. Wollman
- Topics
- Ovarian cancer diagnosis and treatment (6 papers)Glycosylation and Glycoproteins Research (4 papers)Immunotherapy and Immune Responses (3 papers)
- Partner nations
- United StatesSlovakiaJapan
In The Last Decade
Jonathan Tammela
13 papers receiving 756 citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 517
- Immunology 255
- Oncology 148
- Cancer Research 118
- Reproductive Medicine 101
Countries citing papers authored by Jonathan Tammela
This map shows the geographic impact of Jonathan Tammela'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 Jonathan Tammela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Tammela more than expected).
Fields of papers citing papers by Jonathan Tammela
This network shows the impact of papers produced by Jonathan Tammela. 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 Jonathan Tammela. The network helps show where Jonathan Tammela may publish in the future.
Co-authorship network of co-authors of Jonathan Tammela
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Tammela. A scholar is included among the top collaborators of Jonathan Tammela 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 Jonathan Tammela. Jonathan Tammela is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 35 | |
| 3 | 25 | |
| 4 | SCP-1 cancer/testis antigen is a prognostic indicator and a candidate target for immunotherapy in epithelial ovarian cancer. | 26 |
| 5 | 19 | |
| 6 | Gene expression and prognostic significance in ovarian cancer. | 14 |
| 7 | 263 | |
| 8 | HSP27 in patients with ovarian carcinoma: still an independent prognostic indicator at 60 months follow-up. | 37 |
| 9 | Heat shock protein 27 in the placentas of women with and without severe preeclampsia. | 14 |
| 10 | NY-ESO-1 and LAGE-1 cancer-testis antigens are potential targets for immunotherapy in epithelial ovarian cancer. | 208 |
| 11 | 34 | |
| 12 | 30 | |
| 13 | Clear cell carcinoma of the ovary: poor prognosis compared to serous carcinoma. | 50 |
About Jonathan Tammela
Jonathan Tammela is a scholar working on Reproductive Medicine, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 775 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (6 papers), Glycosylation and Glycoproteins Research (4 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Immunology (255 citations), Reproductive Medicine (101 citations) and Cancer Research (118 citations). Jonathan Tammela has collaborated with scholars based in United States, Slovakia and Japan. Frequent co-authors include Kunle Odunsi, Shashikant Lele, John P. Geisler, Feng Qian, Bernadette Keitz, Marilyn Intengan, Deborah Driscoll, Robert M. Wollman, Alan D. Hutson and Susan E. McCann. Their work appears in journals such as Clinical Cancer Research, International Journal of Cancer and Gynecologic 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.