Stephen Lockett

76 papers receiving 6.7k citations

Stephen Lockett's Hit Papers

Automatic and Quantitative Measurement of Protein-Protein Colocalization in Live Cells 2004 · 1.1k citations
1.1k0+8+16Years since publication4008001.2k

Peers

Stephen Lockett
Comparison fields: 5 of 145
  • Virology 673
  • Aging 159
  • Immunology 1.3k
  • Biophysics 354
  • Molecular Biology 3.5k
Replace Jianbin Wang with:
Jianbin Wang China
Wendy J. Fantl United States
Martin Kampmann United States
Carlo Tacchetti Italy
Arie Abo United States
Marc Ferrer United States
Michael R. Green United States
Suresh Subramani United States
Tom K. Kerppola United States
Britta Brügger Germany
Stephen Lockett relative to Jianbin Wang China Jianbin Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Stephen Lockett

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Lockett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Senescent fibroblasts promote epithelial cell growth and tumorigenesis: A link between cancer and aging
Hit paper breakdown →
20011298
2
Automatic and Quantitative Measurement of Protein-Protein Colocalization in Live Cells
Hit paper breakdown →
20041135
3 2004440
4 2002421
5 2008329
6 2005189
7 2009175
8 2006149
9 2010145
10 2010133
11 2015102
12 201399
13 200490
14 200489
15 200985
16 200685
17 200484
18 201783
19 199566
20 200765

About Stephen Lockett

Stephen Lockett is a scholar working on Molecular Biology, Immunology, Biophysics, Oncology and Virology, having authored 79 papers that have together received 6.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), Cell Image Analysis Techniques (9 papers), Immune Cell Function and Interaction (7 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Cancer Cells and Metastasis (5 papers), RNA Research and Splicing (5 papers), T-cell and B-cell Immunology (5 papers) and Immune cells in cancer (5 papers). The work is most often cited by research in Virology (673 citations), Aging (159 citations), Immunology (1.3k citations), Biophysics (354 citations) and Molecular Biology (3.5k citations). Stephen Lockett has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Edward H. Cho, Sylvain V. Costes, Judith Campisi, Ana Krtolica, Pierre‐Yves Desprez, Simona Parrinello, George N. Pavlakis, Dirk Daelemans, Zachary C. Dobbin and Kunio Nagashima. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, The Journal of Immunology, Cytometry Part A and Journal of Virology.

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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