Stephen Freeman

489 citations
13 papers · 383 · h-index 9

Impact in

  • Cell Biology top 10%
    • Proteoglycans and glycosaminoglycans research
    • Microtubule and mitosis dynamics
    • Hearing, Cochlea, Tinnitus, Genetics

Papers in

    • Ubiquitin and proteasome pathways 2
    • Protein Tyrosine Phosphatases 2
    • ATP Synthase and ATPases Research 1
    • CRISPR and Genetic Engineering 1
    • Hearing, Cochlea, Tinnitus, Genetics 5

Stephen Freeman

13 papers receiving 378 citations

Peers

Stephen Freeman
Comparison fields: 5 of 60
  • Cell Biology 196
  • Sensory Systems 36
  • Molecular Biology 249
  • Developmental Neuroscience 13
  • Immunology and Allergy 14
Replace Eeva Kaisa Rajakylä with:
Eeva Kaisa Rajakylä Finland
Hidehiko Sugino Japan
Edwige Belotti France
Emma Greenhill United Kingdom
Gene Elliott United States
Yasuko Honjo Japan
Csilla Pataki Denmark
Leslie K. Climer United States
Tim Brend United Kingdom
Aurélie Clément United States
Stephen Freeman relative to Eeva Kaisa Rajakylä Finland Eeva Kaisa Rajakylä's profile →
Citations per field
00.5×2.6×
Eeva Kaisa Rajakylä · 1×
Citations per year

Countries citing papers authored by Stephen Freeman

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2004171
2 200856
3 201946
4 201718
5 201218
6 201917
7 201613
8 201211
9 20149
10 20148
11 20198
12 20216
13 20132

About Stephen Freeman

Stephen Freeman is a scholar working on Molecular Biology, Sensory Systems, Cell Biology, Genetics and Genetics, having authored 13 papers that have together received 383 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (5 papers), Proteoglycans and glycosaminoglycans research (3 papers), Marine animal studies overview (2 papers), Ubiquitin and proteasome pathways (2 papers), Protein Tyrosine Phosphatases (2 papers), Connective tissue disorders research (2 papers), ATP Synthase and ATPases Research (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Cell Biology (196 citations), Sensory Systems (36 citations), Molecular Biology (249 citations), Developmental Neuroscience (13 citations) and Immunology and Allergy (14 citations). Stephen Freeman has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include Mary Elizabeth Pownall, Daniel S. Kessler, Shouwen Wang, Charles P. Emerson, Xingbin Ai, Nicolas Daudet, Jeremy E. Turnbull, Brigitte Malgrange, Raj K. Ladher and Nicolas Goffart. Their work appears in journals such as PLoS ONE, Developmental Biology, EMBO Reports, Developmental Dynamics and Carcinogenesis.

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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