Erpan Ahat

405 citations
9 papers · 254 · h-index 6

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
  • Physiology top 10%
    • Calcium signaling and nucleotide metabolism
    • Lysosomal Storage Disorders Research

Papers in

    • Cellular transport and secretion 5
    • Endoplasmic Reticulum Stress and Disease 4
    • Glycosylation and Glycoproteins Research 2
    • S100 Proteins and Annexins 1

Erpan Ahat

8 papers receiving 254 citations

Peers

Erpan Ahat
Comparison fields: 5 of 56
  • Cell Biology 133
  • Physiology 36
  • Epidemiology 59
  • Molecular Biology 119
  • Immunology and Allergy 6
Replace Melissa Hoyer with:
Melissa Hoyer United States
Rosaria Di Martino Italy
Sarah Bui United States
Alexander Wallroth Germany
Yi Cui China
Stephen Ireland United States
Sabine Weys Austria
Noemi Antonella Guadagno Norway
David Cruz-García Spain
Christopher L. Lord United States
Erpan Ahat relative to Melissa Hoyer United States Melissa Hoyer's profile →
Citations per field
00.5×1.5×
Melissa Hoyer · 1×
Citations per year

Countries citing papers authored by Erpan Ahat

Since Specialization
Citations

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

Fields of papers citing papers by Erpan Ahat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201993
2 201950
3 202233
4 201931
5 201930
6 202214
7 20242
8 20251
9 20220

About Erpan Ahat

Erpan Ahat is a scholar working on Cell Biology, Molecular Biology, Epidemiology, Surgery and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 254 indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Autophagy in Disease and Therapy (3 papers), Glycosylation and Glycoproteins Research (2 papers), Alzheimer's disease research and treatments (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Toxoplasma gondii Research Studies (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Cell Biology (133 citations), Physiology (36 citations), Epidemiology (59 citations), Molecular Biology (119 citations) and Immunology and Allergy (6 citations). Erpan Ahat has collaborated with scholars based in United States. Frequent co-authors include Yanzhuang Wang, Jie Li, Jie Li, Michael E. Bekier, Xiaoyan Zhang, Leibin Wang, Zhihai Zhang, Yi Xiang, Stephen Ireland and Sarah Bui. Their work appears in journals such as Molecular Biology of the Cell, Results and problems in cell differentiation, Journal of Biological Chemistry, Cellular and Molecular Life Sciences and Autophagy.

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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