Marla Lipsyc
About
In The Last Decade
Marla Lipsyc
6 papers receiving 139 citations
Peers
Comparison fields: 5 of 30
- Oncology 107
- Cancer Research 46
- Pathology and Forensic Medicine 36
- Molecular Biology 32
- Hepatology 31
Countries citing papers authored by Marla Lipsyc
This map shows the geographic impact of Marla Lipsyc'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 Marla Lipsyc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marla Lipsyc more than expected).
Fields of papers citing papers by Marla Lipsyc
This network shows the impact of papers produced by Marla Lipsyc. 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 Marla Lipsyc. The network helps show where Marla Lipsyc may publish in the future.
Co-authorship network of co-authors of Marla Lipsyc
This figure shows the co-authorship network connecting the top 25 collaborators of Marla Lipsyc. A scholar is included among the top collaborators of Marla Lipsyc 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 Marla Lipsyc. Marla Lipsyc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 77 | |
| 3 | 6 | |
| 4 | 54 | |
| 5 | 2 | |
| 6 | 1 |
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.