Arti Gaur
- Molecular Biology top 2%
- Cancer Research top 0.5%
- Oncology top 5%
- Genetics top 10%
- Immunology top 10%
- Co-authors
- Marcus E. PeterErnst LengyelSun-Mi ParkMark A. IsraelYu LiangJason H. MooreDavid A. JewellVictor Ambros
- Topics
- MicroRNA in disease regulation (7 papers)Glioma Diagnosis and Treatment (3 papers)Circular RNAs in diseases (3 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Arti Gaur
26 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 2.8k
- Cancer Research 2.4k
- Oncology 717
- Genetics 247
- Immunology 243
Countries citing papers authored by Arti Gaur
This map shows the geographic impact of Arti Gaur'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 Arti Gaur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arti Gaur more than expected).
Fields of papers citing papers by Arti Gaur
This network shows the impact of papers produced by Arti Gaur. 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 Arti Gaur. The network helps show where Arti Gaur may publish in the future.
Co-authorship network of co-authors of Arti Gaur
This figure shows the co-authorship network connecting the top 25 collaborators of Arti Gaur. A scholar is included among the top collaborators of Arti Gaur 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 Arti Gaur. Arti Gaur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | A Paradigm Shift from Human Resource Management (HRM) to Electronic Human Resource Management (E-HRM) - A Review | 0 |
| 5 | 150 | |
| 6 | 16 | |
| 7 | 20 | |
| 8 | 26 | |
| 9 | 154 | |
| 10 | A Comparative Study of Gold Price Movements in Indian and Global Markets | 29 |
| 11 | 196 | |
| 12 | The miR-200 family determines the epithelial phenotype of cancer cells by targeting the E-cadherin repressors | 5 |
| 13 | 63 | |
| 14 | The miR-200 family determines the epithelial phenotype of cancer cells by targeting the E-cadherin repressors ZEB1 and ZEB2breakdown → | 1886 |
| 15 | Characterization of MicroRNA Expression Levels and Their Biological Correlates in Human Cancer Cell Linesbreakdown → | 586 |
| 16 | Characterization of microRNA expression and their biological correlates in the NCI-60 panel of human tumor derived cell lines | 1 |
| 17 | 5 | |
| 18 | 407 | |
| 19 | 24 | |
| 20 | 10 |
About Arti Gaur
Arti Gaur is a scholar working on Cancer Research, Virology and Biological Psychiatry, having authored 28 papers that have together received 3.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Glioma Diagnosis and Treatment (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (2.4k citations), Molecular Biology (2.8k citations) and Oncology (717 citations). Arti Gaur has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Marcus E. Peter, Ernst Lengyel, Sun-Mi Park, Mark A. Israel, Yu Liang, Jason H. Moore, David A. Jewell, Victor Ambros, Dana Ridzon and Caifu Chen. Their work appears in journals such as Nature Communications, Nature Genetics 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.