Lance Liotta

1.2k citations
14 papers · 818 indexed · h-index 10

Impact in

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

Papers in

    • Ubiquitin and proteasome pathways 2
    • Genetics, Bioinformatics, and Biomedical Research 1
    • Surgical Simulation and Training 2

Lance Liotta

14 papers receiving 803 citations

Peers

Lance Liotta
Comparison fields: 5 of 103
  • Cell Biology 227
  • Cancer Research 179
  • Oncology 254
  • Immunology and Allergy 44
  • Molecular Biology 449
Replace Morten P. Oksvold with:
Morten P. Oksvold Norway
Cristina Basilico Italy
Jennifer M. Atkinson United States
Gaynor Davies United Kingdom
Geneviève Lavoie Canada
Jessica Kim United States
Haixin Lei China
David Batt United States
Harvey H. Hensley United States
Christian Haslinger Austria
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

14 of 14 papers shown
#Work
1
Centrosome defects can account for cellular and genetic changes that characterize prostate cancer progression.
2001263
2 2011147
3 1986137
4 2011101
5 201750
6 201040
7 201722
8 201321
9 201911
10
Augmented Reality Imaging System: 3D Viewing of a Breast Cancer.
201611
11 20169
12 19763
13 20252
14 19981

About Lance Liotta

Lance Liotta is a scholar working on Molecular Biology, Surgery, Oncology, Cancer Research and Pathology and Forensic Medicine, having authored 14 papers that have together received 818 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (2 papers), AI in cancer detection (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cancer-related Molecular Pathways (2 papers), Augmented Reality Applications (2 papers), Surgical Simulation and Training (2 papers), Ubiquitin and proteasome pathways (2 papers) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Cell Biology (227 citations), Cancer Research (179 citations), Oncology (254 citations), Immunology and Allergy (44 citations) and Molecular Biology (449 citations). Lance Liotta has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Ronald H. Goldfarb, Xiangdong Wang, Aruna Purohit, Germán Pihán, Stephen Doxsey, Mariaelena Pierobon, Valentina Fodale, Emanuel F. Petricoin, David Douglas and Patrick L. Wintrode. Their work appears in journals such as iScience, Seminars in Thrombosis and Hemostasis, Immunity, Journal of Internal Medicine and Journal of Neuropathology & Experimental Neurology.

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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