Lance Liotta

1.3k citations
16 papers · 903 · h-index 12

Impact in

    • Microtubule and mitosis dynamics
    • Protease and Inhibitor Mechanisms
    • Cancer Genomics and Diagnostics

Papers in

    • Ubiquitin and proteasome pathways 2
    • Gene expression and cancer classification 1
    • Surgical Simulation and Training 2

Lance Liotta

16 papers receiving 878 citations

Peers

Lance Liotta
Comparison fields: 5 of 106
  • Cell Biology 224
  • Cancer Research 174
  • Oncology 234
  • Immunology and Allergy 42
  • Molecular Biology 445
Replace Morten P. Oksvold with:
Morten P. Oksvold Norway
Johann Kern Germany
Sandeep Nambiar Germany
Håvard E. Danielsen Norway
Matthew P. Stokes United States
A Frankel Canada
John-Patrick Mpindi Finland
Paul Elvin United Kingdom
Geneviève Lavoie Canada
Haixin Lei China
Lance Liotta relative to Morten P. Oksvold Norway Morten P. Oksvold's profile →
Citations per field
00.5×1.5×
Morten P. Oksvold · 1×
Citations per year

Countries citing papers authored by Lance Liotta

Since Specialization
Citations

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

Fields of papers citing papers by Lance Liotta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Centrosome defects can account for cellular and genetic changes that characterize prostate cancer progression.
2001268
2 2011153
3 1986143
4 2011112
5 201751
6 201041
7 200632
8 201725
9 201324
10
Augmented Reality Imaging System: 3D Viewing of a Breast Cancer.
201613
11 201912
12 201611
13 201811
14 20253
15 19763
16 19981

About Lance Liotta

Lance Liotta is a scholar working on Molecular Biology, Surgery, Computer Vision and Pattern Recognition, Oncology and Cancer Research, having authored 16 papers that have together received 903 indexed citations. Recurring topics across this work include Augmented Reality Applications (3 papers), Ubiquitin and proteasome pathways (2 papers), Surgical Simulation and Training (2 papers), Cancer-related Molecular Pathways (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Cancer Genomics and Diagnostics (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Cell Biology (224 citations), Cancer Research (174 citations), Oncology (234 citations), Immunology and Allergy (42 citations) and Molecular Biology (445 citations). Lance Liotta has collaborated with scholars based in United States, Italy and Thailand. Frequent co-authors include Ronald H. Goldfarb, Xiangdong Wang, Germán Pihán, Aruna Purohit, Stephen Doxsey, Mariaelena Pierobon, Valentina Fodale, David Douglas, Emanuel F. Petricoin and Sebastian Günther. Their work appears in journals such as Immunity, Journal of Neuropathology & Experimental Neurology, iScience, The Cancer Journal and Bioconjugate Chemistry.

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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