Laxmi Silwal‐Pandit
- Oncology top 10%
- Molecular Biology
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine
- Pathology and Forensic Medicine
- Co-authors
- Anne‐Lise Børresen‐DaleAnita LangerødHans Kristian Moen VollanDavid A. QuigleyCarlos CaldasSuet‐Feung ChinVessela N. KristensenTomo Osako
- Topics
- Cancer Genomics and Diagnostics (8 papers)Breast Cancer Treatment Studies (7 papers)Cancer-related Molecular Pathways (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologyGenes & Development
- Partner nations
- NorwayUnited StatesSweden
In The Last Decade
Laxmi Silwal‐Pandit
19 papers receiving 793 citations
Peers
Comparison fields: 5 of 67
- Oncology 420
- Molecular Biology 404
- Cancer Research 367
- Pulmonary and Respiratory Medicine 175
- Pathology and Forensic Medicine 87
Countries citing papers authored by Laxmi Silwal‐Pandit
This map shows the geographic impact of Laxmi Silwal‐Pandit'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 Laxmi Silwal‐Pandit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laxmi Silwal‐Pandit more than expected).
Fields of papers citing papers by Laxmi Silwal‐Pandit
This network shows the impact of papers produced by Laxmi Silwal‐Pandit. 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 Laxmi Silwal‐Pandit. The network helps show where Laxmi Silwal‐Pandit may publish in the future.
Co-authorship network of co-authors of Laxmi Silwal‐Pandit
This figure shows the co-authorship network connecting the top 25 collaborators of Laxmi Silwal‐Pandit. A scholar is included among the top collaborators of Laxmi Silwal‐Pandit 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 Laxmi Silwal‐Pandit. Laxmi Silwal‐Pandit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 60 | |
| 6 | 16 | |
| 7 | 14 | |
| 8 | 39 | |
| 9 | 18 | |
| 10 | 24 | |
| 11 | 25 | |
| 12 | 58 | |
| 13 | 132 | |
| 14 | 3 | |
| 15 | 17 | |
| 16 | 114 | |
| 17 | 2 | |
| 18 | 0 | |
| 19 | 215 | |
| 20 | 47 |
About Laxmi Silwal‐Pandit
Laxmi Silwal‐Pandit is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 21 papers that have together received 800 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Breast Cancer Treatment Studies (7 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Cancer Research (367 citations), Oncology (420 citations) and Molecular Biology (404 citations). Laxmi Silwal‐Pandit has collaborated with scholars based in Norway, United States and Sweden. Frequent co-authors include Anne‐Lise Børresen‐Dale, Anita Langerød, Hans Kristian Moen Vollan, David A. Quigley, Carlos Caldas, Suet‐Feung Chin, Vessela N. Kristensen, Tomo Osako, Samuel Aparício and Oscar M. Rueda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Genes & Development.
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.