Suzanne M. Lapolla

481 citations
9 papers · 410 · h-index 6

Impact in

    • Cell death mechanisms and regulation
    • RNA Interference and Gene Delivery
    • Mitochondrial Function and Pathology
    • ATP Synthase and ATPases Research
    • Lipid Membrane Structure and Behavior
    • Advanced biosensing and bioanalysis techniques

Papers in

Suzanne M. Lapolla

9 papers receiving 410 citations

Peers

Suzanne M. Lapolla
Comparison fields: 5 of 72
  • Molecular Biology 344
  • Toxicology 8
  • Cancer Research 27
  • Biophysics 9
  • Cell Biology 25
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Christine S. Gibhardt Germany
Sarah Amodei Italy
Lucia Polletta Italy
Changhai Tian China
Jake Ni United States
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Rachel M. Guerra United States
Dominique Müehlematter Switzerland
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Citations per year

Countries citing papers authored by Suzanne M. Lapolla

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne M. Lapolla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2006126
2 201575
3 200468
4 201064
5 200641
6 200925
7
The Bax BH3 peptide H2-H3 promotes apoptosis by inhibiting Bcl-2's pore-forming and anti-Bax activities in the membrane.
20095
8
The cytosolic domain of Bcl-2 forms small pores in model mitochondrial outer membrane after acidic pH-induced membrane association.
20095
9
The cytosolic domain of Bcl-2 oligomerizes to form pores in model mitochondrial outer membrane at acidic pH.
20091

About Suzanne M. Lapolla

Suzanne M. Lapolla is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Biomaterials and Computational Theory and Mathematics, having authored 9 papers that have together received 410 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (7 papers), Cell death mechanisms and regulation (5 papers), Lipid Membrane Structure and Behavior (2 papers), ATP Synthase and ATPases Research (2 papers), Mitochondrial Function and Pathology (2 papers), Nanoparticle-Based Drug Delivery (1 paper), Hepatitis B Virus Studies (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Molecular Biology (344 citations), Toxicology (8 citations), Cancer Research (27 citations), Biophysics (9 citations) and Cell Biology (25 citations). Suzanne M. Lapolla has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Jialing Lin, David W. Andrews, Jun Peng, Chibing Tan, Zhi Zhang, Paulina J Dlugosz, Scott M. Plafker, Xuejun C. Zhang, Jingzhen Ding and Arthur E. Johnson. Their work appears in journals such as Journal of Biological Chemistry, APOPTOSIS, The EMBO Journal and PubMed.

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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