Yash Chhabra
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- Growth Hormone and Insulin-like Growth Factors 10
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions 6
- Cutaneous Melanoma Detection and Management 4
- Cancer Cells and Metastasis 2
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 3
- Immunology top 10%
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- Melanoma and MAPK Pathways 2
- FOXO transcription factor regulation 2
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- Cell Adhesion Molecules Research 3
- Co-authors
- Ashani T. WeeraratnaAndrew J. BrooksMichael J. WatersAaron G. SmithKathryn A. TunnyMitchell E. FaneRichard A. SturmMegan L. O’Mara
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Yash Chhabra
32 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Endocrinology, Diabetes and Metabolism 236
- Oncology 378
- Cancer Research 178
- Immunology 228
- Molecular Biology 519
Countries citing papers authored by Yash Chhabra
This map shows the geographic impact of Yash Chhabra'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 Yash Chhabra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yash Chhabra more than expected).
Fields of papers citing papers by Yash Chhabra
This network shows the impact of papers produced by Yash Chhabra. 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 Yash Chhabra. The network helps show where Yash Chhabra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yash Chhabra, 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 | 2024 | 13 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 14 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 8 | |
| 8 | Fibroblasts in cancer: Unity in heterogeneitybreakdown → | 2023 | 251 |
| 9 | 2021 | 3 | |
| 10 | 2021 | 2 | |
| 11 | 2020 | 22 | |
| 12 | 2020 | 24 | |
| 13 | 2019 | 34 | |
| 14 | 2018 | 20 | |
| 15 | 2017 | 7 | |
| 16 | 2017 | 69 | |
| 17 | 2017 | 42 | |
| 18 | 2016 | 9 | |
| 19 | The first cancer-associated variant of the growth hormone receptor | 2014 | 1 |
| 20 | 2014 | 21 |
About Yash Chhabra
Yash Chhabra is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Immunology and Allergy, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (10 papers), Cytokine Signaling Pathways and Interactions (6 papers), Cutaneous Melanoma Detection and Management (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cell Adhesion Molecules Research (3 papers), Melanoma and MAPK Pathways (2 papers), Cancer Cells and Metastasis (2 papers) and FOXO transcription factor regulation (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (236 citations), Oncology (378 citations) and Cancer Research (178 citations). Yash Chhabra has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Ashani T. Weeraratna, Andrew J. Brooks, Michael J. Waters, Aaron G. Smith, Kathryn A. Tunny, Mitchell E. Fane, Richard A. Sturm, Megan L. O’Mara, Craig J. Morton and Olivier Gardon. Their work appears in journals such as Science, Cell and Blood.
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.