Lisa M. Ooms

3.0k citations
47 papers · 2.4k indexed · h-index 24
    • Cellular transport and secretion 13
    • Endoplasmic Reticulum Stress and Disease 5
    • PI3K/AKT/mTOR signaling in cancer 17
    • Protein Kinase Regulation and GTPase Signaling 17
    • Ubiquitin and proteasome pathways 5
    • Wnt/β-catenin signaling in development and cancer 4
  • Aging top 10%
  • Physiology top 10%
    • Cancer-related Molecular Pathways 4
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 4

Lisa M. Ooms

46 papers receiving 2.4k citations

Peers

Lisa M. Ooms
Comparison fields: 5 of 107
  • Cell Biology 564
  • Molecular Biology 1.6k
  • Aging 29
  • Cancer Research 232
  • Physiology 304
Replace Christopher Belham with:
Christopher Belham United Kingdom
Richard Jäger Germany
Danhong Lu United States
Antonis S. Zervos United States
Eric D. Werner United States
Lee Carpenter United Kingdom
Malavika Raman United States
Rie Asada Japan
Jean Buteau Canada
Edward K. Williamson United States
Lisa M. Ooms relative to Christopher Belham United Kingdom Christopher Belham's profile →
Citations per field
00.5×3.0×
Christopher Belham · 1×
Citations per year

Countries citing papers authored by Lisa M. Ooms

Since Specialization
Citations

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

Fields of papers citing papers by Lisa M. Ooms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20233
3 20236
4 202111
5 202017
6 201621
7 201588
8 201421
9 201136
10 201114
11 2009473
12 20087
13 200712
14 200723
15 200556
16 200245
17 200077
18 199924
19 1997102
20 19953

About Lisa M. Ooms

Lisa M. Ooms is a scholar working on Cell Biology, Molecular Biology and Genetics, having authored 47 papers that have together received 2.4k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (17 papers), Protein Kinase Regulation and GTPase Signaling (17 papers), Cellular transport and secretion (13 papers), Ubiquitin and proteasome pathways (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Cancer-related Molecular Pathways (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). The work is most often cited by research in Cell Biology (564 citations), Molecular Biology (1.6k citations) and Aging (29 citations). Lisa M. Ooms has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Christina A. Mitchell, Rajendra Gurung, Tony Tiganis, Kristy Horan, Benjamin J. Shields, Jennifer M. Dyson, James C. Whisstock, Harshal Nandurkar, Megan V. Astle and Meagan J. McGrath. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

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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