Judith Lechner

776 citations
21 papers · 631 · h-index 14

Impact in

  • Nephrology top 10%
    • Chronic Kidney Disease and Diabetes
    • Immune Cell Function and Interaction

Papers in

Judith Lechner

21 papers receiving 621 citations

Peers

Judith Lechner
Comparison fields: 5 of 89
  • Nephrology 57
  • Immunology 130
  • Oncology 151
  • Genetics 118
  • Cancer Research 53
Replace Kyoko Yamada with:
Kyoko Yamada Japan
Jun Qian China
Dwight Henninger United States
Janet Chamberlain United Kingdom
Dan Yang China
Hongwei Peng China
Avedis Meneshian United States
Ibuki Shirakawa Japan
Przemysław Majewski Poland
Nobuhiro Deguchi Japan
Judith Lechner relative to Kyoko Yamada Japan Kyoko Yamada's profile →
Citations per field
00.5×1.5×
Kyoko Yamada · 1×
Citations per year

Countries citing papers authored by Judith Lechner

Since Specialization
Citations

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

Fields of papers citing papers by Judith Lechner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997102
2 200878
3 200660
4 199742
5 199741
6 199840
7 200138
8 202132
9 200731
10 199929
11 201622
12 199822
13 200721
14 200014
15 202013
16 200713
17 202012
18 200112
19 20055
20 20112

About Judith Lechner

Judith Lechner is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Physiology, having authored 21 papers that have together received 631 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (5 papers), Estrogen and related hormone effects (3 papers), 3D Printing in Biomedical Research (3 papers), Protein Hydrolysis and Bioactive Peptides (2 papers), Barrier Structure and Function Studies (2 papers), Neuroscience and Neural Engineering (2 papers), Phagocytosis and Immune Regulation (2 papers) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Nephrology (57 citations), Immunology (130 citations), Oncology (151 citations), Genetics (118 citations) and Cancer Research (53 citations). Judith Lechner has collaborated with scholars based in Austria, United States and Sweden. Frequent co-authors include Wolfgang Doppler, Thomas Welte, Walter Pfaller, Paul Jennings, Thomas Seppi, Jan-Ακε Gustafsson, Carol Cairns, Peter Kotanko, Rajesh V. Thakker and Karl Lhotta. Their work appears in journals such as American Journal of Physiology-Cell Physiology, Journal of the American Society of Nephrology, Biomedical Microdevices, Gene and Immunobiology.

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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