Ami S. Lakdawala
- Molecular Biology
- Oncology
- Organic Chemistry top 10%
- Cell Biology top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- James P. SnyderNeysa NevinsAhmet Bakanİvet BaharDavid G. LynnDavid G. I. KingstonSusan BaneDennis C. Liotta
- Topics
- Protein Structure and Dynamics (6 papers)Cancer Treatment and Pharmacology (5 papers)Supramolecular Self-Assembly in Materials (5 papers)
- Cited by
- Cell BiologyOncologyBiomaterials
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietySHILAP Revista de lepidopterología
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Ami S. Lakdawala
22 papers receiving 816 citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 512
- Oncology 219
- Organic Chemistry 173
- Cell Biology 132
- Computational Theory and Mathematics 112
Countries citing papers authored by Ami S. Lakdawala
This map shows the geographic impact of Ami S. Lakdawala'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 Ami S. Lakdawala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ami S. Lakdawala more than expected).
Fields of papers citing papers by Ami S. Lakdawala
This network shows the impact of papers produced by Ami S. Lakdawala. 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 Ami S. Lakdawala. The network helps show where Ami S. Lakdawala may publish in the future.
Co-authorship network of co-authors of Ami S. Lakdawala
This figure shows the co-authorship network connecting the top 25 collaborators of Ami S. Lakdawala. A scholar is included among the top collaborators of Ami S. Lakdawala 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 Ami S. Lakdawala. Ami S. Lakdawala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Adapting drug discovery to Artificial Intelligence | 8 |
| 3 | 43 | |
| 4 | 36 | |
| 5 | 4 | |
| 6 | 132 | |
| 7 | 4 | |
| 8 | 41 | |
| 9 | 38 | |
| 10 | 56 | |
| 11 | 36 | |
| 12 | 7 | |
| 13 | 86 | |
| 14 | 23 | |
| 15 | 72 | |
| 16 | 7 | |
| 17 | 42 | |
| 18 | 16 | |
| 19 | 24 | |
| 20 | 38 |
About Ami S. Lakdawala
Ami S. Lakdawala is a scholar working on Biomaterials, Cell Biology and Oncology, having authored 22 papers that have together received 833 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Cancer Treatment and Pharmacology (5 papers) and Supramolecular Self-Assembly in Materials (5 papers). The work is most often cited by research in Cell Biology (132 citations), Oncology (219 citations) and Biomaterials (101 citations). Ami S. Lakdawala has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include James P. Snyder, Neysa Nevins, Ahmet Bakan, İvet Bahar, David G. Lynn, David G. I. Kingston, Susan Bane, Dennis C. Liotta, Thota Ganesh and Rudravajhala Ravindra. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and SHILAP Revista de lepidopterología.
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.