Archna Ravi

599 citations
9 papers · 308 · h-index 7

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Caveolin-1 and cellular processes
    • Cellular Mechanics and Interactions
    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism

Papers in

    • Hippo pathway signaling and YAP/TAZ 2
    • Cellular Mechanics and Interactions 2
    • Advanced biosensing and bioanalysis techniques 1
    • Metabolism, Diabetes, and Cancer 1

Archna Ravi

8 papers receiving 305 citations

Peers

Archna Ravi
Comparison fields: 5 of 53
  • Cell Biology 110
  • Cancer Research 96
  • Physiology 21
  • Molecular Biology 197
  • Biochemistry 15
Replace Kristin B. Runkle with:
Kristin B. Runkle United States
Zahra Erami United Kingdom
Michael Selitrennik Israel
Erwan Le Scolan United States
Hirokazu Nakatsumi Japan
Becky M. Bola United Kingdom
Kyla D. Baron Canada
Simona Citro Italy
Amir Kedan Israel
Weizhi Xu China
Archna Ravi relative to Kristin B. Runkle United States Kristin B. Runkle's profile →
Citations per field
00.5×1.5×
Kristin B. Runkle · 1×
Citations per year

Countries citing papers authored by Archna Ravi

Since Specialization
Citations

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

Fields of papers citing papers by Archna Ravi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Archna Ravi, 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 Archna Ravi Line = papers co-authored together Archna Ravi links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2018160
2 201953
3 202131
4 201421
5 201416
6 202314
7 20228
8 20245
9 20230

About Archna Ravi

Archna Ravi is a scholar working on Cell Biology, Molecular Biology, Cancer Research, Oncology and Epidemiology, having authored 9 papers that have together received 308 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Cell Adhesion Molecules Research (2 papers), Autophagy in Disease and Therapy (2 papers), Cellular Mechanics and Interactions (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), MicroRNA in disease regulation (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Cell Biology (110 citations), Cancer Research (96 citations), Physiology (21 citations), Molecular Biology (197 citations) and Biochemistry (15 citations). Archna Ravi has collaborated with scholars based in United States, Switzerland and Singapore. Frequent co-authors include Brooke M. Emerling, Lavinia Palamiuc, Tricia T Nguyen, Eric O. Potma, Jane Robertson, Jonathan Chernoff, Bruce J. Tromberg, Brendan T. Finicle, Michelle A. Digman and Vaishali Jayashankar. Their work appears in journals such as Journal of Biological Chemistry, FEBS Journal, Cell Reports Methods, Developmental Cell and Science Advances.

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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