Deval Lashkari
- Molecular Biology top 1%
- Gene expression and cancer classification 6
- RNA and protein synthesis mechanisms 4
- Molecular Biology Techniques and Applications 3
- Fungal and yeast genetics research 3
- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 3
- Yeasts and Rust Fungi Studies 2
- Bioinformatics and Genomic Networks 2
- Cancer Research top 2%
- Oncology top 5%
- Genetics top 5%
- Cell Biology top 5%
- Co-authors
- Patrick O. BrownDavid BotsteinMichael B. EisenDari ShalonDouglas T. RossVishwanath R. IyerMatt van de RijnAlexander Pergamenschikov
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Nature Genetics (3 papers)Genome Research (3 papers)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Deval Lashkari
17 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Biology 4.6k
- Cancer Research 766
- Oncology 824
- Genetics 705
- Cell Biology 360
Countries citing papers authored by Deval Lashkari
This map shows the geographic impact of Deval Lashkari'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 Deval Lashkari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deval Lashkari more than expected).
Fields of papers citing papers by Deval Lashkari
This network shows the impact of papers produced by Deval Lashkari. 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 Deval Lashkari. The network helps show where Deval Lashkari may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Deval Lashkari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 17 | |
| 2 | 2020 | 2 | |
| 3 | 2001 | 45 | |
| 4 | Systematic variation in gene expression patterns in human cancer cell linesbreakdown → | 2000 | 1634 |
| 5 | Distinctive gene expression patterns in human mammary epithelial cells and breast cancersbreakdown → | 1999 | 1087 |
| 6 | 1999 | 169 | |
| 7 | 1999 | 4 | |
| 8 | The Transcriptional Program in the Response of Human Fibroblasts to Serumbreakdown → | 1999 | 1617 |
| 9 | 1999 | 1 | |
| 10 | 1998 | 0 | |
| 11 | 1997 | 9 | |
| 12 | 1997 | 20 | |
| 13 | 1997 | 28 | |
| 14 | 1997 | 472 | |
| 15 | 1996 | 52 | |
| 16 | 1996 | 413 | |
| 17 | 1996 | 205 | |
| 18 | 1995 | 60 | |
| 19 | 1990 | 98 |
About Deval Lashkari
Deval Lashkari is a scholar working on Molecular Biology, Biophysics and Rehabilitation, having authored 19 papers that have together received 5.9k indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), RNA and protein synthesis mechanisms (4 papers), Molecular Biology Techniques and Applications (3 papers), Fungal and yeast genetics research (3 papers), RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (3 papers), Yeasts and Rust Fungi Studies (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Molecular Biology (4.6k citations), Cancer Research (766 citations) and Oncology (824 citations). Deval Lashkari has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Patrick O. Brown, David Botstein, Michael B. Eisen, Dari Shalon, Douglas T. Ross, Vishwanath R. Iyer, Matt van de Rijn, Alexander Pergamenschikov, Christian A. Rees and Stefanie S. Jeffrey. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics, Genome Research, Science and Communications Biology.
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.