Shefali Krishna

613 citations
6 papers · 425 · h-index 6

Impact in

  • Physiology top 5%
    • Erythrocyte Function and Pathophysiology
    • Calcium signaling and nucleotide metabolism
    • Phagocytosis and Immune Regulation

Papers in

    • ATP Synthase and ATPases Research 1
    • Wnt/β-catenin signaling in development and cancer 1
    • RNA Interference and Gene Delivery 1
    • Pancreatic function and diabetes 2

Shefali Krishna

6 papers receiving 419 citations

Peers

Shefali Krishna
Comparison fields: 5 of 67
  • Physiology 53
  • Immunology 134
  • Cell Biology 85
  • Physiology 102
  • Cancer Research 50
Replace McKenna Feltes with:
McKenna Feltes United States
Zaiming Tang China
Pablo Sánchez‐Martín Germany
Sandrine Lépine United States
Ya-Cheng Liao China
Benjamin Yazdanpanah Germany
Jonathan P. Bernardini Australia
Vonda Koka United States
Joanna Czarnecka‐Herok Poland
Mohamed A. Eldeeb Canada
Shefali Krishna relative to McKenna Feltes United States McKenna Feltes's profile →
Citations per field
00.5×3.3×
McKenna Feltes · 1×
Citations per year

Countries citing papers authored by Shefali Krishna

Since Specialization
Citations

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

Fields of papers citing papers by Shefali Krishna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Shefali Krishna, 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 Shefali Krishna Line = papers co-authored together Shefali Krishna links everyone, so they are left out of the graph.

All Works

About Shefali Krishna

Shefali Krishna is a scholar working on Molecular Biology, Surgery, Epidemiology, Cell Biology and Immunology, having authored 6 papers that have together received 425 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (2 papers), Phagocytosis and Immune Regulation (2 papers), Autophagy in Disease and Therapy (2 papers), Carbon and Quantum Dots Applications (1 paper), ATP Synthase and ATPases Research (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Physiology (53 citations), Immunology (134 citations), Cell Biology (85 citations), Physiology (102 citations) and Cancer Research (50 citations). Shefali Krishna has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Michael Overholtzer, Ivan Cherh Chiet Low, Shazib Pervaiz, Leila Akkari, Matej Krajcovic, Johanna A. Joyce, Wendy Yang, Wilhelm Palm, Haoxing Xu and Oliver Florey. Their work appears in journals such as Developmental Cell, Molecular Biology of the Cell, Cellular and Molecular Life Sciences, The Journal of Cell Biology and Biochemical 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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