Stephen Cross

1.9k citations
58 papers · 1.2k · h-index 20

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 4
    • RNA and protein synthesis mechanisms 3
    • RNA Interference and Gene Delivery 2
    • Zebrafish Biomedical Research Applications 7

Stephen Cross

54 papers receiving 1.1k citations

Peers

Stephen Cross
Comparison fields: 5 of 131
  • Cell Biology 166
  • Rehabilitation 54
  • Molecular Biology 500
  • Urology 38
  • Rheumatology 91
Replace Takeshi Nomura with:
Takeshi Nomura Japan
Kira L. Lathrop United States
Nicole Schwarz Germany
Neal R. Pellis United States
Colin E. Willoughby United Kingdom
Guokai Chen Macao
Dean Nižetić United Kingdom
Nancy R. Cox United States
Mark R. Morgan United Kingdom
Mariella Simon United States
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Citations per field
00.5×2.7×
Takeshi Nomura · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015162
2 200889
3 201879
4 201758
5 201753
6 202349
7 202144
8 201843
9 201941
10 201940
11 202137
12 199837
13 199835
14 200533
15 199231
16 201929
17 201927
18 202322
19 202122
20 201922

About Stephen Cross

Stephen Cross is a scholar working on Molecular Biology, Cell Biology, Immunology, Genetics and Cellular and Molecular Neuroscience, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (7 papers), Immune cells in cancer (4 papers), Lipid Membrane Structure and Behavior (4 papers), RNA and protein synthesis mechanisms (3 papers), Phagocytosis and Immune Regulation (3 papers), Calcium signaling and nucleotide metabolism (2 papers), RNA Interference and Gene Delivery (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Cell Biology (166 citations), Rehabilitation (54 citations), Molecular Biology (500 citations), Urology (38 citations) and Rheumatology (91 citations). Stephen Cross has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include John C. Crabbe, Chrissy L. Hammond, Érika Kague, David Stephens, Nicola L. Stevenson, Janine McCaughey, Chris Sutton, Edward J. Gallaher, John K. Belknap and Michael J Leathley. Their work appears in journals such as Cochrane Database of Systematic Reviews, Journal of Cell Science, Haematologica, Behavioral Neuroscience and Blood Advances.

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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