Swetha Gowrishankar

945 citations
18 papers · 643 · h-index 11

Impact in

  • Physiology top 5%
    • Alzheimer's disease research and treatments
    • Calcium signaling and nucleotide metabolism
    • Lysosomal Storage Disorders Research
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Cellular transport and secretion 13
    • Endoplasmic Reticulum Stress and Disease 4
    • Microtubule and mitosis dynamics 2
    • Lysosomal Storage Disorders Research 7
    • Calcium signaling and nucleotide metabolism 6
    • Alzheimer's disease research and treatments 4

Swetha Gowrishankar

15 papers receiving 635 citations

Peers

Swetha Gowrishankar
Comparison fields: 5 of 65
  • Physiology 90
  • Cell Biology 270
  • Neurology 94
  • Physiology 253
  • Aging 11
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Valerie Uytterhoeven Belgium
Lakshya Bajaj United States
Daniel B. Swartzlander United States
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Jesús Madero‐Pérez Spain
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Domenico Cieri Italy
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Citations per field
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Citations per year

Countries citing papers authored by Swetha Gowrishankar

Since Specialization
Citations

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

Fields of papers citing papers by Swetha Gowrishankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2015306
2 201798
3 202139
4 202338
5 201837
6 201623
7 202218
8 202116
9 202116
10 202215
11 202012
12 202311
13 20247
14 20225
15 20242
16 20260
17 20240
18 20260

About Swetha Gowrishankar

Swetha Gowrishankar is a scholar working on Cell Biology, Physiology, Physiology, Epidemiology and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 643 indexed citations. Recurring topics across this work include Cellular transport and secretion (13 papers), Lysosomal Storage Disorders Research (7 papers), Calcium signaling and nucleotide metabolism (6 papers), Alzheimer's disease research and treatments (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Autophagy in Disease and Therapy (4 papers), Microtubule and mitosis dynamics (2 papers) and Lipid metabolism and biosynthesis (1 paper). The work is most often cited by research in Physiology (90 citations), Cell Biology (270 citations), Neurology (94 citations), Physiology (253 citations) and Aging (11 citations). Swetha Gowrishankar has collaborated with scholars based in United States, Ukraine and United Kingdom. Frequent co-authors include Shawn Ferguson, Yumei Wu, Pietro V. De Camilli, Matthew Schrag, Peng Yuan, Summer Paradise, Jaime Grutzendler, Nisha Mohd Rafiq, Agnes Roczniak-Ferguson and Daehun Park. Their work appears in journals such as The Journal of Cell Biology, Molecular Biology of the Cell, Frontiers in Cellular Neuroscience, Journal of Proteome Research and eNeuro.

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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