Lance A. Liotta

91.3k total citations · 21 hit papers
658 papers, 62.1k citations indexed

About

Lance A. Liotta is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Lance A. Liotta has authored 658 papers receiving a total of 62.1k indexed citations (citations by other indexed papers that have themselves been cited), including 388 papers in Molecular Biology, 150 papers in Cancer Research and 146 papers in Oncology. Recurrent topics in Lance A. Liotta's work include Advanced Proteomics Techniques and Applications (135 papers), Advanced Biosensing Techniques and Applications (110 papers) and Cell Adhesion Molecules Research (88 papers). Lance A. Liotta is often cited by papers focused on Advanced Proteomics Techniques and Applications (135 papers), Advanced Biosensing Techniques and Applications (110 papers) and Cell Adhesion Molecules Research (88 papers). Lance A. Liotta collaborates with scholars based in United States, Italy and Australia. Lance A. Liotta's co-authors include Emanuel F. Petricoin, William G. Stetler‐Stevenson, Elise C. Kohn, Emanuel F. Petricoin, Virginia Espina, Spiridione Garbisa, Sadie Aznavoorian, Julia Wulfkuhle, Henry C. Krutzsch and Karl Tryggvason and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Lance A. Liotta

650 papers receiving 59.9k citations

Hit Papers

Use of proteomic patterns in serum to i... 1974 2026 1991 2008 2002 2003 1980 1993 1986 500 1000 1.5k 2.0k

Peers

Lance A. Liotta
Comparison fields: 5 of 203
  • Molecular Biology 34.6k
  • Cancer Research 16.9k
  • Oncology 16.9k
  • Immunology and Allergy 9.1k
  • Spectroscopy 7.6k
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Citations per field, relative to Lance A. Liotta
Lance A. Liotta · 1×
Citations per year, relative to Lance A. Liotta
Lance A. Liotta · 1×

Countries citing papers authored by Lance A. Liotta

Since Specialization
Citations

This map shows the geographic impact of Lance A. 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 A. 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 A. Liotta more than expected).

Fields of papers citing papers by Lance A. Liotta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lance A. Liotta

This figure shows the co-authorship network connecting the top 25 collaborators of Lance A. Liotta. A scholar is included among the top collaborators of Lance A. Liotta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lance A. Liotta. Lance A. Liotta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 170
2
Tumor-Draining Lymph Secretome En Route to the Regional Lymph Node in Breast Cancer Metastasis
4
3 4
4 26
5 16
6 80
7 19
8 28
9 36
10 28
11 85
12 71
13 196
14
Activation of the PTEN/mTOR/STAT3 pathway in breast cancer stem-like cells is required for viability and maintenance breakdown →
539
15 62
16 50
17
Site-directed mutations in the tumor-associated cytokine, autotaxin, eliminate nucleotide phosphodiesterase, lysophospholipase D, and motogenic activities.
48
18
Autotaxin (NPP-2), a metastasis-enhancing motogen, is an angiogenic factor.
174
19
Allelic deletion analysis of the FHIT gene predicts poor survival in non-small cell lung cancer.
65
20 4

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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