Fritz Lai

788 citations
11 papers · 592 · h-index 11

Impact in

  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease
    • Melanoma and MAPK Pathways
    • Cell death mechanisms and regulation
    • Histone Deacetylase Inhibitors Research
    • Ubiquitin and proteasome pathways

Papers in

    • Melanoma and MAPK Pathways 8
    • Cell death mechanisms and regulation 5
    • Histone Deacetylase Inhibitors Research 2
    • Endoplasmic Reticulum Stress and Disease 2

Fritz Lai

11 papers receiving 588 citations

Peers

Fritz Lai
Comparison fields: 5 of 60
  • Cell Biology 112
  • Molecular Biology 462
  • Oncology 132
  • Immunology 99
  • Cancer Research 58
Replace Andrew M. Kidger with:
Andrew M. Kidger United Kingdom
Kelly A. Kiejda Australia
Mary E. Vail Australia
Kwang Hong Tay Australia
Suzanne I. Specht United States
Ceri M. Wiggins United Kingdom
Kathrin Laaß Germany
H Kisaki United States
Sarah A Molton United States
Anna Gajos-Michniewicz Poland
Fritz Lai relative to Andrew M. Kidger United Kingdom Andrew M. Kidger's profile →
Citations per field
00.5×3.6×
Andrew M. Kidger · 1×
Citations per year

Countries citing papers authored by Fritz Lai

Since Specialization
Citations

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

Fields of papers citing papers by Fritz Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201093
2 201089
3 201568
4 201364
5 201559
6 201247
7 201246
8 201340
9 201437
10 201229
11 201820

About Fritz Lai

Fritz Lai is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Oncology and Immunology, having authored 11 papers that have together received 592 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (8 papers), Cell death mechanisms and regulation (5 papers), Autophagy in Disease and Therapy (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Histone Deacetylase Inhibitors Research (2 papers), interferon and immune responses (2 papers), Cancer Mechanisms and Therapy (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Cell Biology (112 citations), Molecular Biology (462 citations), Oncology (132 citations), Immunology (99 citations) and Cancer Research (58 citations). Fritz Lai has collaborated with scholars based in Australia and China. Frequent co-authors include Xu Dong Zhang, Peter Hersey, Chen Chen Jiang, Lei Jin, Su Guo, Amanda Croft, Fan Yang, Rick F. Thorne, Kwang Hong Tay and Hsin‐Yi Tseng. Their work appears in journals such as Cell Death and Disease, Carcinogenesis, Advances in pharmacology, Clinical Cancer Research and Melanoma Research.

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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