M. L. Hanski
- Molecular Biology top 10%
- Oncology top 10%
- Pathology and Forensic Medicine top 10%
- Immunology
- Surgery
- Co-authors
- C. HanskiE O RieckenAlexei GratchevB. MannH. J. BuhrAnja SiedowMary Pat MoyerMohammad Ilyas
- Topics
- Glycosylation and Glycoproteins Research (5 papers)Galectins and Cancer Biology (4 papers)Pancreatic and Hepatic Oncology Research (2 papers)
- Journals
- Proceedings of the National Academy of SciencesBritish Journal of CancerInternational Journal of Cancer
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
M. L. Hanski
9 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Molecular Biology 867
- Oncology 269
- Pathology and Forensic Medicine 173
- Immunology 142
- Surgery 135
Countries citing papers authored by M. L. Hanski
This map shows the geographic impact of M. L. Hanski'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 M. L. Hanski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. L. Hanski more than expected).
Fields of papers citing papers by M. L. Hanski
This network shows the impact of papers produced by M. L. Hanski. 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 M. L. Hanski. The network helps show where M. L. Hanski may publish in the future.
Co-authorship network of co-authors of M. L. Hanski
This figure shows the co-authorship network connecting the top 25 collaborators of M. L. Hanski. A scholar is included among the top collaborators of M. L. Hanski 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 M. L. Hanski. M. L. Hanski 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 | 20 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 23 | |
| 7 | 67 | |
| 8 | Target genes of β-catenin–T cell-factor/lymphoid-enhancer-factor signaling in human colorectal carcinomasbreakdown → | 677 |
| 9 | 124 | |
| 10 | 32 | |
| 11 | Characterization of the major sialyl-Lex-positive mucins present in colon, colon carcinoma, and sera of patients with colorectal cancer. | 60 |
| 12 | Altered glycosylation of the MUC-1 protein core contributes to the colon carcinoma-associated increase of mucin-bound sialyl-Lewis(x) expression. | 69 |
About M. L. Hanski
M. L. Hanski is a scholar working on Immunology, Oncology and Molecular Biology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Galectins and Cancer Biology (4 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Molecular Biology (867 citations), Oncology (269 citations) and Pathology and Forensic Medicine (173 citations). M. L. Hanski has collaborated with scholars based in Germany, United States and France. Frequent co-authors include C. Hanski, E O Riecken, Alexei Gratchev, B. Mann, H. J. Buhr, Anja Siedow, Mary Pat Moyer, Mohammad Ilyas, Marcos Gelos and Walter F. Bodmer. Their work appears in journals such as Proceedings of the National Academy of Sciences, British Journal of Cancer and International Journal of Cancer.
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.