Jennifer Batson

15 papers receiving 747 citations

Peers

Jennifer Batson
Comparison fields: 5 of 88
  • Cell Biology 194
  • Cellular and Molecular Neuroscience 134
  • Molecular Biology 426
  • Cancer Research 84
  • Immunology and Allergy 33
Replace Anissa Chikh with:
Anissa Chikh United Kingdom
Carolyn N. Wrobel United States
C. David Wood United Kingdom
Anouk Emadali France
Naohisa Yoshioka Japan
Miki Hieda Japan
Simon Morton United Kingdom
Sharif Iqbal Finland
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Citations per field
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Citations per year

Countries citing papers authored by Jennifer Batson

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Batson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2013277
2 2010211
3 201782
4 201864
5 201438
6 200833
7 201324
8 202212
9 20149
10 20053
11 20253
12 20172
13 20051
14
Armed antibodies targeted to STEAP1 inhibit growth of human prostate xenografts in vivo
20071
15
EXN407, a novel topical therapeutic candidate with high retinal bioavailability for the treatment of diabetic macular oedema, inhibits ocular neovascularisation
20191
16 20250

About Jennifer Batson

Jennifer Batson is a scholar working on Ophthalmology, Cell Biology, Immunology and Allergy, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 761 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Retinal Diseases and Treatments (3 papers), Retinal Development and Disorders (2 papers), Cell Adhesion Molecules Research (2 papers), Ubiquitin and proteasome pathways (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Collaborative Teaching and Inclusion (1 paper). The work is most often cited by research in Cell Biology (194 citations), Cellular and Molecular Neuroscience (134 citations), Molecular Biology (426 citations), Cancer Research (84 citations) and Immunology and Allergy (33 citations). Jennifer Batson has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Catherine D. Nobes, Jonathan W. Astin, Jessica Charlet, JON D. OXLEY, Shereen R. Kadir, David A Gillatt, Raj A. Persad, Jon D. Lane, T J Collard and Joerg Huelsken. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, ACS Chemical Biology, Investigative Ophthalmology & Visual Science, Journal of Bone and Mineral Research and Cancer Research.

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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