Stephen Cross

1.8k total citations
58 papers, 1.1k citations indexed

About

Stephen Cross is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Stephen Cross has authored 58 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Cell Biology and 10 papers in Immunology. Recurrent topics in Stephen Cross's work include Zebrafish Biomedical Research Applications (7 papers), Pelvic floor disorders treatments (6 papers) and Urinary Bladder and Prostate Research (4 papers). Stephen Cross is often cited by papers focused on Zebrafish Biomedical Research Applications (7 papers), Pelvic floor disorders treatments (6 papers) and Urinary Bladder and Prostate Research (4 papers). Stephen Cross collaborates with scholars based in United Kingdom, United States and China. Stephen Cross's co-authors include John C. Crabbe, Chrissy L. Hammond, Érika Kague, Janine McCaughey, Nicola L. Stevenson, David Stephens, Michael J Leathley, Chris Sutton, John K. Belknap and Edward J. Gallaher and has published in prestigious journals such as Nature, Nucleic Acids Research and Advanced Materials.

In The Last Decade

Stephen Cross

53 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stephen Cross United Kingdom 20 513 175 173 126 122 58 1.1k
Deepak P. Edward United States 28 598 1.2× 119 0.7× 151 0.9× 88 0.7× 207 1.7× 131 2.5k
Colin E. Willoughby United Kingdom 34 1.2k 2.2× 394 2.3× 133 0.8× 67 0.5× 138 1.1× 127 3.3k
Gunther Wennemuth Germany 32 1.0k 2.0× 260 1.5× 182 1.1× 88 0.7× 91 0.7× 98 3.1k
Shoko Nakamura Japan 16 766 1.5× 160 0.9× 155 0.9× 38 0.3× 139 1.1× 83 1.7k
Mariella Simon United States 18 1.0k 2.0× 227 1.3× 185 1.1× 29 0.2× 76 0.6× 30 1.5k
Tetsuya Kawakita Japan 32 394 0.8× 303 1.7× 174 1.0× 38 0.3× 68 0.6× 111 3.2k
Andreas Traweger Austria 26 821 1.6× 80 0.5× 426 2.5× 60 0.5× 139 1.1× 63 2.3k
Frank J. Kaiser Germany 26 1.0k 2.0× 392 2.2× 127 0.7× 66 0.5× 157 1.3× 83 1.9k
Vickery Trinkaus‐Randall United States 36 1.1k 2.2× 198 1.1× 619 3.6× 118 0.9× 96 0.8× 99 3.2k
Laurent Tiret France 22 880 1.7× 277 1.6× 320 1.8× 36 0.3× 76 0.6× 71 1.6k

Countries citing papers authored by Stephen Cross

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Cross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Cross

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Cross. A scholar is included among the top collaborators of Stephen Cross 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 Stephen Cross. Stephen Cross 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
1.
Radford, Jan, et al.. (2025). Aged Zebrafish as a Spontaneous Model of Cardiac Valvular Disease. Aging Cell. 24(12). e70266–e70266.
2.
Bidgood, Sarah, David Kallenberg, Anthony Turner, et al.. (2024). POS0722 PURIFIED MONOCLONAL RHEUMATOID FACTORS BIND FC CONTAINING TNF INHIBITORS IN VITRO BUT NOT THE FC-FREE TNF INHIBITOR, CERTOLIZUMAB PEGOL. Annals of the Rheumatic Diseases. 83. 727–728.
3.
Cross, Stephen, Can Xu, Yu Zhao, et al.. (2024). Reprogramming macrophages with R848-loaded artificial protocells to modulate skin and skeletal wound healing. Journal of Cell Science. 137(16). 1 indexed citations
4.
Daly, James L., Chris M. Danson, Philip A. Lewis, et al.. (2023). Multi-omic approach characterises the neuroprotective role of retromer in regulating lysosomal health. Nature Communications. 14(1). 3086–3086. 20 indexed citations
5.
Cross, Stephen, et al.. (2023). Bright-field to fluorescence microscopy image translation for cell nuclei health quantification. SHILAP Revista de lepidopterología. 3. e12–e12. 7 indexed citations
6.
Cross, Stephen, et al.. (2023). Fluctuations of cell geometry and their nonequilibrium thermodynamics in living epithelial tissue. Physical review. E. 107(1). 14403–14403. 8 indexed citations
7.
Moura, Pedro Luís, Stephen Cross, Marieangela C. Wilson, et al.. (2023). Defining the proteomic landscape of cultured macrophages and their polarization continuum. Immunology and Cell Biology. 101(10). 947–963. 12 indexed citations
8.
Simonetti, Boris, Po‐Han Chou, Stephen Cross, et al.. (2023). Five Inhibitory Receptors Display Distinct Vesicular Distributions in Murine T Cells. Cells. 12(21). 2558–2558. 3 indexed citations
9.
Cross, Stephen, et al.. (2023). ModularImageAnalysis (MIA): Assembly of modularised image and object analysis workflows in ImageJ. Journal of Microscopy. 296(3). 173–183. 8 indexed citations
10.
Cross, Stephen, et al.. (2022). Monitoring Cellular Proliferation, Migration, and Apoptosis Associated with Atherosclerosis Plaques In Vitro. Methods in molecular biology. 2419. 133–167. 3 indexed citations
11.
Cross, Stephen, et al.. (2021). ENDO-Pore: high-throughput linked-end mapping of single DNA cleavage events using nanopore sequencing. Nucleic Acids Research. 49(20). e118–e118. 4 indexed citations
12.
Kague, Érika, et al.. (2021). Wnt16 Elicits a Protective Effect Against Fractures and Supports Bone Repair in Zebrafish. JBMR Plus. 5(3). e10461–e10461. 22 indexed citations
13.
Kague, Érika, Francesco Turci, Kate Robson Brown, et al.. (2021). 3D assessment of intervertebral disc degeneration in zebrafish identifies changes in bone density that prime disc disease. Bone Research. 9(1). 39–39. 39 indexed citations
14.
Gittins, Matthew, Christopher Ashton, Neil S. Holden, et al.. (2020). Environmental Factors and Hyperacute Stroke Care Activity During the COVID-19 Pandemic: An Interrupted Time-Series Analysis. Journal of Stroke and Cerebrovascular Diseases. 29(11). 105229–105229. 8 indexed citations
15.
Gurevich, David, et al.. (2019). Live imaging the foreign body response in zebrafish reveals how dampening inflammation reduces fibrosis. Journal of Cell Science. 133(5). 29 indexed citations
16.
Kague, Érika, Simon M. Hughes, Stephen Cross, et al.. (2019). Scleraxis genes are required for normal musculoskeletal development and for rib growth and mineralization in zebrafish. The FASEB Journal. 33(8). 9116–9130. 39 indexed citations
17.
O′Flaherty, Linda, Steven D. Shnyder, Patricia A. Cooper, et al.. (2019). Tumor growth suppression using a combination of taxol-based therapy and GSK3 inhibition in non-small cell lung cancer. PLoS ONE. 14(4). e0214610–e0214610. 20 indexed citations
18.
Brunt, Lucy, Katheryn Begg, Érika Kague, Stephen Cross, & Chrissy L. Hammond. (2017). Wnt signalling controls the response to mechanical loading during zebrafish joint development. Development. 144(15). 2798–2809. 53 indexed citations
19.
20.
Cross, Stephen. (1988). NAUTICAL TRAINING IN THE NETHERLANDS--PAST, PRESENT AND FUTURE. 1 indexed citations

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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