Lea Guo

1.7k citations
21 papers · 1.4k indexed · h-index 16

Impact in

    • Cellular transport and secretion
    • Microtubule and mitosis dynamics
    • PI3K/AKT/mTOR signaling in cancer
    • Protein Kinase Regulation and GTPase Signaling
    • Fungal and yeast genetics research
    • Ubiquitin and proteasome pathways
    • Polyamine Metabolism and Applications

Papers in

Lea Guo

20 papers receiving 1.3k citations

Peers

Lea Guo
Comparison fields: 5 of 92
  • Cell Biology 289
  • Molecular Biology 1.1k
  • Cancer Research 119
  • Aging 13
  • Oncology 198
Replace Robert A. Horlick with:
Robert A. Horlick United States
J. Ann Le Good Switzerland
Amila Suraweera Australia
Stephen Wincovitch United States
Ron Kriz United States
Natalia Mitin United States
Fabrizio Loreni Italy
Özge Karayel Germany
Huidong Yuan China
Cornelia Czupalla Germany
Lea Guo relative to Robert A. Horlick United States Robert A. Horlick's profile →
Citations per field
00.5×1.5×1.9×
Robert A. Horlick · 1×
Citations per year

Countries citing papers authored by Lea Guo

Since Specialization
Citations

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

Fields of papers citing papers by Lea Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lea Guo, 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 Guo Line = papers co-authored together Lea Guo 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 1999165
2 2010163
3 2009153
4 2003126
5 2002116
6 200390
7 200090
8 200573
9 200867
10 202063
11 200950
12 201445
13 202043
14 200543
15 199935
16 202115
17 20148
18 20176
19 20192
20 20212

About Lea Guo

Lea Guo is a scholar working on Genetics, Cell Biology, Molecular Biology, Neurology and Oncology, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Glioma Diagnosis and Treatment (3 papers), Mast cells and histamine (2 papers), Nanoplatforms for cancer theranostics (2 papers), Fungal and yeast genetics research (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Cell Biology (289 citations), Molecular Biology (1.1k citations), Cancer Research (119 citations), Aging (13 citations) and Oncology (198 citations). Lea Guo has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Fuyuhiko Tamanoi, Akio Nakashima, Tatsuhiro Sato, Chia‐Ling Gau, Akio Toh‐e, Yasushi Matsui, Jun Imai, Hironori Edamatsu, Juran Kato‐Stankiewicz and Tetsuo Nemoto. Their work appears in journals such as Journal of Biological Chemistry, Neuro-Oncology, Oncogene, Electrophoresis and Molecular Microbiology.

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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