Lisa Ellmann

421 citations
9 papers · 266 · h-index 9

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Metabolomics and Mass Spectrometry Studies
    • Mitochondrial Function and Pathology
    • Epigenetics and DNA Methylation
    • Wnt/β-catenin signaling in development and cancer
    • RNA modifications and cancer

Papers in

    • Metabolomics and Mass Spectrometry Studies 5
    • Melanoma and MAPK Pathways 3
    • Signaling Pathways in Disease 1
    • Wnt/β-catenin signaling in development and cancer 1

Lisa Ellmann

9 papers receiving 262 citations

Peers

Lisa Ellmann
Comparison fields: 5 of 64
  • Cancer Research 48
  • Molecular Biology 212
  • Clinical Biochemistry 17
  • Nephrology 14
  • Biochemistry 14
Replace Emanuela Marchese with:
Emanuela Marchese Italy
Timothy Isaac Johnson United Kingdom
Alexander B. Saltzman United States
Pei‐Hua Peng Taiwan
Fuad J. Naser United States
Verónica Rodríguez Italy
Andréa Fournier Canada
Hyunsoo Rho United States
Vamsi Krishna Kolukula United States
Lisa Ellmann relative to Emanuela Marchese Italy Emanuela Marchese's profile →
Citations per field
00.5×10×12.5×
Emanuela Marchese · 1×
Citations per year

Countries citing papers authored by Lisa Ellmann

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Ellmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201897
2 201129
3 201726
4 201224
5 201723
6 201620
7 201319
8 201616
9 201912

About Lisa Ellmann

Lisa Ellmann is a scholar working on Molecular Biology, Spectroscopy, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Ecology, having authored 9 papers that have together received 266 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (5 papers), Melanoma and MAPK Pathways (3 papers), Metabolism and Genetic Disorders (1 paper), Advanced Chemical Sensor Technologies (1 paper), Nerve injury and regeneration (1 paper), Signaling Pathways in Disease (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Cancer Research (48 citations), Molecular Biology (212 citations), Clinical Biochemistry (17 citations), Nephrology (14 citations) and Biochemistry (14 citations). Lisa Ellmann has collaborated with scholars based in Germany, Switzerland and India. Frequent co-authors include Katja Dettmer, Anja‐Katrin Bosserhoff, Silke Kuphal, Peter J. Oefner, Paul V. Heinrich, Christian Köhler, Rainer Spang, Wolfram Gronwald, Manjunath B. Joshi and Thérèse J. Resink. Their work appears in journals such as Scientific Reports, Analytical and Bioanalytical Chemistry, Laboratory Investigation, Molecular Carcinogenesis and Experimental Dermatology.

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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