Alicia A. Russo
- Molecular Biology top 1%
- Oncology top 1%
- Cell Biology top 0.5%
- Materials Chemistry top 10%
- Immunology top 5%
- Co-authors
- Nikola P. PavletichPhilip D. JeffreyJoan MassaguéF. Ulrich HartlJie‐Oh LeeChristine SchneiderC. Erec StebbinsNeal Rosen
- Topics
- Cancer-related Molecular Pathways (8 papers)DNA Repair Mechanisms (6 papers)Microtubule and mitosis dynamics (6 papers)
- Partner nations
- United StatesSouth AfricaJapan
In The Last Decade
Alicia A. Russo
21 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 5.0k
- Oncology 2.2k
- Cell Biology 1.4k
- Materials Chemistry 610
- Immunology 477
Countries citing papers authored by Alicia A. Russo
This map shows the geographic impact of Alicia A. Russo'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 Alicia A. Russo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alicia A. Russo more than expected).
Fields of papers citing papers by Alicia A. Russo
This network shows the impact of papers produced by Alicia A. Russo. 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 Alicia A. Russo. The network helps show where Alicia A. Russo may publish in the future.
Co-authorship network of co-authors of Alicia A. Russo
This figure shows the co-authorship network connecting the top 25 collaborators of Alicia A. Russo. A scholar is included among the top collaborators of Alicia A. Russo 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 Alicia A. Russo. Alicia A. Russo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 56 | |
| 3 | 6 | |
| 4 | 91 | |
| 5 | 390 | |
| 6 | 371 | |
| 7 | 487 | |
| 8 | 17 | |
| 9 | Crystal Structure of an Hsp90–Geldanamycin Complex: Targeting of a Protein Chaperone by an Antitumor Agentbreakdown → | 1156 |
| 10 | 482 | |
| 11 | Crystal structure of the p27Kip1 cyclin-dependent-kinase inibitor bound to the cyclin A–Cdk2 complexbreakdown → | 735 |
| 12 | Mechanism of CDK activation revealed by the structure of a cyclinA-CDK2 complexbreakdown → | 1145 |
| 13 | The fission yeast cdc18+ gene product couples S phase to START and mitosisbreakdown → | 413 |
| 14 | Interaction between replication forks and topoisomerase I-DNA cleavable complexes: studies in a cell-free SV40 DNA replication system. | 186 |
| 15 | 103 | |
| 16 | 66 | |
| 17 | 31 | |
| 18 | 34 | |
| 19 | 139 | |
| 20 | 44 |
About Alicia A. Russo
Alicia A. Russo is a scholar working on Oncology, Cell Biology and Ecology, having authored 21 papers that have together received 6.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (8 papers), DNA Repair Mechanisms (6 papers) and Microtubule and mitosis dynamics (6 papers). The work is most often cited by research in Cell Biology (1.4k citations), Oncology (2.2k citations) and Molecular Biology (5.0k citations). Alicia A. Russo has collaborated with scholars based in United States, South Africa and Japan. Frequent co-authors include Nikola P. Pavletich, Philip D. Jeffrey, Joan Massagué, F. Ulrich Hartl, Jie‐Oh Lee, Christine Schneider, C. Erec Stebbins, Neal Rosen, E. Paul J. Gibbs and Kornélia Polyák. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.