Helena Goike
About
In The Last Decade
Helena Goike
10 papers receiving 870 citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 446
- Oncology 321
- Cancer Research 244
- Genetics 208
- Pulmonary and Respiratory Medicine 150
Countries citing papers authored by Helena Goike
This map shows the geographic impact of Helena Goike'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 Helena Goike with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helena Goike more than expected).
Fields of papers citing papers by Helena Goike
This network shows the impact of papers produced by Helena Goike. 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 Helena Goike. The network helps show where Helena Goike may publish in the future.
Co-authorship network of co-authors of Helena Goike
This figure shows the co-authorship network connecting the top 25 collaborators of Helena Goike. A scholar is included among the top collaborators of Helena Goike 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 Helena Goike. Helena Goike is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Clinical value of using serological cytokeratins as therapeutic markers in thoracic malignancies. | 8 |
| 3 | 80 | |
| 4 | 263 | |
| 5 | 283 | |
| 6 | Short postoperative survival for glioblastoma patients with a dysfunctional Rb1 pathway in combination with no wild-type PTEN. | 56 |
| 7 | 17 | |
| 8 | 63 | |
| 9 | 12 | |
| 10 | 108 |
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.