Mark Padolina

525 citations
7 papers · 395 · h-index 7

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
  • Physiology top 10%
    • Calcium signaling and nucleotide metabolism

Papers in

    • Cellular transport and secretion 7
    • Endoplasmic Reticulum Stress and Disease 1
    • Biotin and Related Studies 1
    • Lipid Membrane Structure and Behavior 3
    • Protein Kinase Regulation and GTPase Signaling 1

Mark Padolina

7 papers receiving 393 citations

Peers

Mark Padolina
Comparison fields: 5 of 55
  • Cell Biology 312
  • Physiology 42
  • Biochemistry 35
  • Molecular Biology 328
  • Cellular and Molecular Neuroscience 84
Replace Katja Kolar with:
Katja Kolar Switzerland
Tatiana P. Rogasevskaia Canada
Yui Jin United States
Hermann-Josef Kaiser Germany
Shabnam Tavassoli Canada
Kristen Huang United States
Aniruddha Panda United States
Christoph T.A. Meiringer Germany
N. I. Shul'ga United States
Søren Møgelsvang United States
Mark Padolina relative to Katja Kolar Switzerland Katja Kolar's profile →
Citations per field
00.5×1.5×1.8×
Katja Kolar · 1×
Citations per year

Countries citing papers authored by Mark Padolina

Since Specialization
Citations

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

Fields of papers citing papers by Mark Padolina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2012137
2 201480
3 201178
4 201344
5 201222
6 201618
7 201516

About Mark Padolina

Mark Padolina is a scholar working on Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience, Oncology and Biochemistry, having authored 7 papers that have together received 395 indexed citations. Recurring topics across this work include Cellular transport and secretion (7 papers), Neuroscience and Neuropharmacology Research (4 papers), Lipid Membrane Structure and Behavior (3 papers), Drug Transport and Resistance Mechanisms (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Biotin and Related Studies (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and Lipid metabolism and biosynthesis (1 paper). The work is most often cited by research in Cell Biology (312 citations), Physiology (42 citations), Biochemistry (35 citations), Molecular Biology (328 citations) and Cellular and Molecular Neuroscience (84 citations). Mark Padolina has collaborated with scholars based in United States. Frequent co-authors include Daniel J. Cipriano, Axel T. Brünger, Yunxiang Zhang, Jiajie Diao, Rutilio A. Fratti, Richard A. Pfuetzner, Ying Lai, Ankita Srivastava, Steven Chu and Marija Vrljic. Their work appears in journals such as Journal of Biological Chemistry, eLife, Journal of the American Chemical Society 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.

Explore authors with similar magnitude of impact