Imran Shah
- Health, Toxicology and Mutagenesis top 0.5%
- Computational Theory and Mathematics top 0.5%
- Molecular Biology top 10%
- Small Animals top 0.5%
- Environmental Chemistry top 2%
- Co-authors
- Richard JudsonGrace PatlewiczJohn F. WambaughAnn M. RichardRussell S. ThomasAntony WilliamsKamel MansouriKeith A. Houck
- Topics
- Computational Drug Discovery Methods (43 papers)Animal testing and alternatives (17 papers)Bioinformatics and Genomic Networks (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyBioinformatics
- Partner nations
- United StatesFinlandNetherlands
In The Last Decade
Imran Shah
88 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Health, Toxicology and Mutagenesis 1.2k
- Computational Theory and Mathematics 1.1k
- Molecular Biology 1.0k
- Small Animals 614
- Environmental Chemistry 325
Countries citing papers authored by Imran Shah
This map shows the geographic impact of Imran Shah'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 Imran Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imran Shah more than expected).
Fields of papers citing papers by Imran Shah
This network shows the impact of papers produced by Imran Shah. 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 Imran Shah. The network helps show where Imran Shah may publish in the future.
Co-authorship network of co-authors of Imran Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Imran Shah. A scholar is included among the top collaborators of Imran Shah 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 Imran Shah. Imran Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 6 | |
| 7 | 8 | |
| 8 | 27 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 69 | |
| 14 | 55 | |
| 15 | Evaluation of Surrogate Measures for Pedestrian Exposure to Traffic Crashes at Intersections | 1 |
| 16 | 67 | |
| 17 | 58 | |
| 18 | 13 | |
| 19 | 57 | |
| 20 | 55 |
About Imran Shah
Imran Shah is a scholar working on Computational Theory and Mathematics, Small Animals and Health, Toxicology and Mutagenesis, having authored 94 papers that have together received 3.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (43 papers), Animal testing and alternatives (17 papers) and Bioinformatics and Genomic Networks (13 papers). The work is most often cited by research in Chemical Health and Safety (63 citations), Health, Toxicology and Mutagenesis (1.2k citations) and Small Animals (614 citations). Imran Shah has collaborated with scholars based in United States, Finland and Netherlands. Frequent co-authors include Richard Judson, Grace Patlewicz, John F. Wambaugh, Ann M. Richard, Russell S. Thomas, Antony Williams, Kamel Mansouri, Keith A. Houck, Nancy Baker and Chris Grulke. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Bioinformatics.
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.