Atul Sethi

1.1k citations
9 papers · 778 · 1 hit paper · h-index 7

Impact in

Papers in

    • Protein Tyrosine Phosphatases 2
    • Glycosylation and Glycoproteins Research 1
    • Epigenetics and DNA Methylation 1
    • Cytokine Signaling Pathways and Interactions 2
    • Cancer Cells and Metastasis 2

Atul Sethi

9 papers receiving 767 citations

Atul Sethi's Hit Papers

Glucocorticoids promote breast cancer metastasis 2019 · 311 citations
3110+2+4Years since publication100200300

Peers

Atul Sethi
Comparison fields: 5 of 94
  • Spectroscopy 254
  • Behavioral Neuroscience 29
  • Cancer Research 89
  • Oncology 145
  • Psychiatry and Mental health 76
Replace Seong Beom Ahn with:
Seong Beom Ahn Australia
Kshipra M. Gharpure United States
Yu Miyazaki Japan
Paul Jank Germany
Marc Hennequart United Kingdom
Peter Kupchak Canada
Shigeru Matsukawa Japan
Fiorella A. Solari Germany
Sophie Duban‐Deweer France
Yinan Xiao China
Atul Sethi relative to Seong Beom Ahn Australia Seong Beom Ahn's profile →
Citations per field
00.5×4.5×
Seong Beom Ahn · 1×
Citations per year

Countries citing papers authored by Atul Sethi

Since Specialization
Citations

This map shows the geographic impact of Atul Sethi'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 Atul Sethi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atul Sethi more than expected).

Fields of papers citing papers by Atul Sethi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Atul Sethi. 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 Atul Sethi. The network helps show where Atul Sethi may publish in the future.

Co-authors

The 25 scholars most cited alongside Atul Sethi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Atul Sethi Line = papers co-authored together Atul Sethi links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Glucocorticoids promote breast cancer metastasis
Hit paper breakdown →
2019311
2 2012195
3 2014162
4 201834
5 202133
6 202324
7 20237
8 20236
9 20226

About Atul Sethi

Atul Sethi is a scholar working on Molecular Biology, Oncology, Spectroscopy, Genetics and Immunology, having authored 9 papers that have together received 778 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Protein Tyrosine Phosphatases (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Cancer Cells and Metastasis (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Glycosylation and Glycoproteins Research (1 paper), Cancer Genomics and Diagnostics (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Spectroscopy (254 citations), Behavioral Neuroscience (29 citations), Cancer Research (89 citations), Oncology (145 citations) and Psychiatry and Mental health (76 citations). Atul Sethi has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Ruedi Aebersold, Mohamed Bentires‐Alj, Joana Couto, Marie‐May Coissieux, Baptiste Hamelin, Milan Obradović, Alexander Schmidt, Simone Münst, Hubertus Kohler and Ryoko Okamoto. Their work appears in journals such as Journal of Mammary Gland Biology and Neoplasia, Science Translational Medicine, Molecular & Cellular Proteomics, EMBO Molecular Medicine and The EMBO Journal.

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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