Harshani R. Lawrence
- Molecular Biology top 5%
- Oncology top 2%
- Immunology top 5%
- Organic Chemistry top 5%
- Genetics top 5%
- Co-authors
- Nicholas J. LawrenceSaı̈d M. SebtiWayne C. GuidaM.L. Richard YipJie WuYunting LuoMichelle A. BlaskovichKiran Mahajan
- Topics
- Ubiquitin and proteasome pathways (14 papers)Cancer-related Molecular Pathways (13 papers)Estrogen and related hormone effects (10 papers)
- Cited by
- ToxicologyOncologyImmunology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Harshani R. Lawrence
74 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 2.1k
- Oncology 1.3k
- Immunology 683
- Organic Chemistry 369
- Genetics 362
Countries citing papers authored by Harshani R. Lawrence
This map shows the geographic impact of Harshani R. Lawrence'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 Harshani R. Lawrence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harshani R. Lawrence more than expected).
Fields of papers citing papers by Harshani R. Lawrence
This network shows the impact of papers produced by Harshani R. Lawrence. 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 Harshani R. Lawrence. The network helps show where Harshani R. Lawrence may publish in the future.
Co-authorship network of co-authors of Harshani R. Lawrence
This figure shows the co-authorship network connecting the top 25 collaborators of Harshani R. Lawrence. A scholar is included among the top collaborators of Harshani R. Lawrence 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 Harshani R. Lawrence. Harshani R. Lawrence 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 | 3 | |
| 3 | 1 | |
| 4 | 19 | |
| 5 | 15 | |
| 6 | 40 | |
| 7 | 7 | |
| 8 | 53 | |
| 9 | 41 | |
| 10 | 77 | |
| 11 | 21 | |
| 12 | 50 | |
| 13 | 122 | |
| 14 | 26 | |
| 15 | 37 | |
| 16 | 31 | |
| 17 | 22 | |
| 18 | 80 | |
| 19 | 42 | |
| 20 | 236 |
About Harshani R. Lawrence
Harshani R. Lawrence is a scholar working on Oncology, Pharmacology and Hematology, having authored 75 papers that have together received 3.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (14 papers), Cancer-related Molecular Pathways (13 papers) and Estrogen and related hormone effects (10 papers). The work is most often cited by research in Toxicology (187 citations), Oncology (1.3k citations) and Immunology (683 citations). Harshani R. Lawrence has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Nicholas J. Lawrence, Saı̈d M. Sebti, Wayne C. Guida, M.L. Richard Yip, Jie Wu, Yunting Luo, Michelle A. Blaskovich, Kiran Mahajan, Nupam P. Mahajan and Richard Jove. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.