Lia Walcher

1.1k citations
5 papers · 717 · 1 hit paper · h-index 5

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Cancer Cells and Metastasis

Papers in

    • Connexins and lens biology 1
    • Single-cell and spatial transcriptomics 1
    • Hematopoietic Stem Cell Transplantation 2

Lia Walcher

5 papers receiving 704 citations

Hit Papers

Cancer Stem Cells—Origins and Biomarkers: Perspectives for Targeted Personalized Therapies 2020 · 662 citations
6620+2+4Years since publication200400600

Peers

Lia Walcher
Comparison fields: 5 of 92
  • Cancer Research 234
  • Oncology 317
  • Biotechnology 53
  • Molecular Biology 395
  • Immunology 94
Replace Huizhen Suo with:
Huizhen Suo Germany
Alison L. Dooley United States
Ondřej Kodet Czechia
Yeonhwa Song South Korea
Le Li China
Keiko Doi Japan
Anna M. Chiarella United States
Ashleigh Pulkoski‐Gross United States
Bingchen Han United States
Sarah A. Best Australia
Lia Walcher relative to Huizhen Suo Germany Huizhen Suo's profile →
Citations per field
00.5×1.5×
Huizhen Suo · 1×
Citations per year

Countries citing papers authored by Lia Walcher

Since Specialization
Citations

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

Fields of papers citing papers by Lia Walcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Lia Walcher, 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 Lia Walcher Line = papers co-authored together Lia Walcher links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Cancer Stem Cells—Origins and Biomarkers: Perspectives for Targeted Personalized Therapies
Hit paper breakdown →
2020662
2 201824
3 202020
4 20207
5 20184

About Lia Walcher

Lia Walcher is a scholar working on Molecular Biology, Hematology, Biotechnology, Infectious Diseases and Surgery, having authored 5 papers that have together received 717 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (2 papers), Connexins and lens biology (1 paper), Single-cell and spatial transcriptomics (1 paper), Immune Cell Function and Interaction (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Cancer Research and Treatments (1 paper), Radiation Effects and Dosimetry (1 paper) and Microbial Inactivation Methods (1 paper). The work is most often cited by research in Cancer Research (234 citations), Oncology (317 citations), Biotechnology (53 citations), Molecular Biology (395 citations) and Immunology (94 citations). Lia Walcher has collaborated with scholars based in Germany and China. Frequent co-authors include Stephan Fricke, André‐René Blaudszun, Reni Kitte, Uta Kossatz-Boehlert, Huizhen Suo, Tetyana Yevsa, Alexander Strauß, Markus Schweiger, Peter S. Reinach and Josef Köhrle. Their work appears in journals such as Scientific Reports, Frontiers in Pharmacology, EXPERIMENTAL ANIMALS, Frontiers in Immunology and Immunity Inflammation and Disease.

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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