Alexander Pergamenschikov
- Molecular Biology top 0.5%
- Cancer Research top 0.05%
- Oncology top 0.2%
- Genetics top 0.5%
- Pulmonary and Respiratory Medicine top 1%
- Co-authors
- Patrick O. BrownDavid BotsteinStefanie S. JeffreyCharles M. PerouMichael B. EisenMatt van de RijnChristian A. ReesDouglas T. Ross
- Topics
- Genomic variations and chromosomal abnormalities (3 papers)Gene expression and cancer classification (3 papers)Molecular Biology Techniques and Applications (3 papers)
- Partner nations
- United StatesNorway
In The Last Decade
Alexander Pergamenschikov
7 papers receiving 15.9k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 9.2k
- Cancer Research 6.7k
- Oncology 6.5k
- Genetics 2.7k
- Pulmonary and Respiratory Medicine 1.9k
Countries citing papers authored by Alexander Pergamenschikov
This map shows the geographic impact of Alexander Pergamenschikov'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 Alexander Pergamenschikov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Pergamenschikov more than expected).
Fields of papers citing papers by Alexander Pergamenschikov
This network shows the impact of papers produced by Alexander Pergamenschikov. 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 Alexander Pergamenschikov. The network helps show where Alexander Pergamenschikov may publish in the future.
Co-authorship network of co-authors of Alexander Pergamenschikov
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Pergamenschikov. A scholar is included among the top collaborators of Alexander Pergamenschikov 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 Alexander Pergamenschikov. Alexander Pergamenschikov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 324 | |
| 4 | 1 | |
| 5 | Systematic variation in gene expression patterns in human cancer cell linesbreakdown → | 1634 |
| 6 | Molecular portraits of human breast tumoursbreakdown → | 11684 |
| 7 | Distinctive gene expression patterns in human mammary epithelial cells and breast cancersbreakdown → | 1087 |
| 8 | Genome-wide analysis of DNA copy-number changes using cDNA microarraysbreakdown → | 1080 |
| 9 | Genome-wide analysis of DNA copy number variation in breast cancer using DNA microarraysbreakdown → | 531 |
About Alexander Pergamenschikov
Alexander Pergamenschikov is a scholar working on Cancer Research, Dermatology and Genetics, having authored 9 papers that have together received 16.3k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (3 papers), Gene expression and cancer classification (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Cancer Research (6.7k citations), Oncology (6.5k citations) and Molecular Biology (9.2k citations). Alexander Pergamenschikov has collaborated with scholars based in United States and Norway. Frequent co-authors include Patrick O. Brown, David Botstein, Stefanie S. Jeffrey, Charles M. Perou, Michael B. Eisen, Matt van de Rijn, Christian A. Rees, Douglas T. Ross, Jonathan R. Pollack and Shirley Zhu. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Genetics.
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.