Yash Chhabra

1.8k citations
32 papers · 1.1k indexed · 1 hit paper · h-index 15
Topics
Growth Hormone and Insulin-like Growth Factors (10 papers)Cytokine Signaling Pathways and Interactions (6 papers)Cutaneous Melanoma Detection and Management (4 papers)

In The Last Decade

Yash Chhabra

32 papers receiving 1.1k citations

Hit Papers

Fibroblasts in cancer: Unity in heterogeneity2023202620242025202350100150200250

Peers

Yash Chhabra
Comparison fields: 5 of 92
  • Molecular Biology 519
  • Oncology 378
  • Endocrinology, Diabetes and Metabolism 236
  • Immunology 228
  • Cancer Research 178
Replace Fred de Sauvage with:
Fred de Sauvage United States
Paolo Salerno Italy
Julia Huber Austria
Kiyoko Tanaka Japan
Kerstin Dehne Germany
Deshui Jia China
Severa Bunda Canada
Jan‐Marcus Daniel Germany
Shiv K. Singh Germany
Gabriele Jaques Germany
Yash Chhabra relative to Fred de Sauvage United States Fred de Sauvage's profile →
Citations per field
00.5×10×14.2×
Fred de Sauvage · 1×
Citations per year

Countries citing papers authored by Yash Chhabra

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Yash Chhabra

This figure shows the co-authorship network connecting the top 25 collaborators of Yash Chhabra. A scholar is included among the top collaborators of Yash Chhabra 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 Yash Chhabra. Yash Chhabra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 13
2 6
3 1
4 2
5 14
6 6
7 8
8
Fibroblasts in cancer: Unity in heterogeneitybreakdown →
251
9 3
10 2
11 22
12 24
13 34
14 20
15 7
16 69
17 42
18 9
19
The first cancer-associated variant of the growth hormone receptor
1
20 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) and Cutaneous Melanoma Detection and Management (4 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.

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