Lea Gerstner

414 citations
5 papers · 63 · h-index 4

Impact in

  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Cellular transport and secretion

Papers in

    • Renal Diseases and Glomerulopathies 5
    • Chronic Kidney Disease and Diabetes 1
    • Ion Transport and Channel Regulation 1
    • Renal and related cancers 1

Lea Gerstner

4 papers receiving 63 citations

Peers

Lea Gerstner
Comparison fields: 5 of 24
  • Nephrology 44
  • Cell Biology 11
  • Physiology 3
  • Endocrine and Autonomic Systems 4
  • Immunology and Allergy 3
Replace Nikolai Tschernoster with:
Nikolai Tschernoster Germany
Sjoert B.G. Jansen Netherlands
Pooja Sharma India
Nilma Almeida de Assis Germany
Frederieke E. Schoenmaker-Koller Netherlands
Zhi-Hong Cheng China
Debra Rita United States
H Fujimaki Japan
Kerri McGreal United States
Wan-Jia Lin Taiwan
Lea Gerstner relative to Nikolai Tschernoster Germany Nikolai Tschernoster's profile →
Citations per field
00.5×2×3×4×4.9×
Nikolai Tschernoster · 1×
Citations per year

Countries citing papers authored by Lea Gerstner

Since Specialization
Citations

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

Fields of papers citing papers by Lea Gerstner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Lea Gerstner, 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 Lea Gerstner Line = papers co-authored together Lea Gerstner links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 202221
2 202220
3 202213
4 20229
5 20250

About Lea Gerstner

Lea Gerstner is a scholar working on Nephrology, Molecular Biology, Genetics, Genetics and Pathology and Forensic Medicine, having authored 5 papers that have together received 63 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (5 papers), Genetic and Kidney Cyst Diseases (2 papers), Biomedical Research and Pathophysiology (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Ion Transport and Channel Regulation (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Cellular transport and secretion (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Nephrology (44 citations), Cell Biology (11 citations), Physiology (3 citations), Endocrine and Autonomic Systems (4 citations) and Immunology and Allergy (3 citations). Lea Gerstner has collaborated with scholars based in Germany, United States and Palestinian Territory. Frequent co-authors include Martin Helmstädter, Tobias Hermle, Gerd Walz, Mengmeng Chen, Konrad Lang, Ronen Schneider, Friedhelm Hildebrandt, Michael Köttgen, Maria Comas and Claire Leroy. Their work appears in journals such as Kidney International, Journal of the American Society of Nephrology, Cells and eLife.

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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