Daniel Papinski

3.9k citations
12 papers · 1.0k · h-index 11

Impact in

  • Physiology top 2%
    • Calcium signaling and nucleotide metabolism
    • Lysosomal Storage Disorders Research
    • Endoplasmic Reticulum Stress and Disease
    • Cellular transport and secretion

Papers in

Daniel Papinski

12 papers receiving 1.0k citations

Peers

Daniel Papinski
Comparison fields: 5 of 77
  • Physiology 157
  • Cell Biology 469
  • Epidemiology 781
  • Aging 16
  • Parasitology 57
Replace Martina Schuschnig with:
Martina Schuschnig Austria
Roswitha Krick Germany
Hallvard Lauritz Olsvik Norway
Hannah C. Dooley United Kingdom
Chika Kondo‐Kakuta Japan
Shanta Nag United States
Andrea Gubaš Germany
Guangyan Miao China
Monika Kijańska Switzerland
Kazuaki Matoba Japan
Daniel Papinski relative to Martina Schuschnig Austria Martina Schuschnig's profile →
Citations per field
00.5×1.5×
Martina Schuschnig · 1×
Citations per year

Countries citing papers authored by Daniel Papinski

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Papinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2014254
2 2018201
3 2016141
4 201895
5 201677
6 201473
7 201951
8 201744
9 201441
10 201338
11 201410
12 20187

About Daniel Papinski

Daniel Papinski is a scholar working on Epidemiology, Molecular Biology, Cell Biology, Physiology and Organic Chemistry, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (10 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Cellular transport and secretion (5 papers), Calcium signaling and nucleotide metabolism (3 papers), Signaling Pathways in Disease (1 paper), RNA and protein synthesis mechanisms (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Physiology (157 citations), Cell Biology (469 citations), Epidemiology (781 citations), Aging (16 citations) and Parasitology (57 citations). Daniel Papinski has collaborated with scholars based in Austria, Germany and Sweden. Frequent co-authors include Claudine Kraft, Martina Schuschnig, Gustav Ammerer, Wolfgang Reiter, Sabrina Rohringer, Muriel Mari, Willie J. C. Geerts, Rubén Gómez‐Sánchez, Ester Rieter and Ralph Hardenberg. Their work appears in journals such as Molecular Cell, The Journal of Cell Biology, Autophagy, Cells and Journal of Biological Chemistry.

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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