Benjamin Matthews

12 papers receiving 609 citations

Peers

Benjamin Matthews
Comparison fields: 5 of 100
  • Sensory Systems 122
  • Cell Biology 118
  • Immunology and Allergy 35
  • Physiology 102
  • Pharmacy 15
Replace Giuseppe Albeggiani with:
Giuseppe Albeggiani Italy
S. J. Hirst United Kingdom
Patricia Macedo United Kingdom
Shoji Satoh Japan
Ayaka Matsumoto Japan
Ville Pulkkinen Finland
Christine Choi United States
R S Kelleher United States
Charlotta Karner United Kingdom
Idit Shirazi Israel
Benjamin Matthews relative to Giuseppe Albeggiani Italy Giuseppe Albeggiani's profile →
Citations per field
00.5×10.2×
Giuseppe Albeggiani · 1×
Citations per year

Countries citing papers authored by Benjamin Matthews

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Matthews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2009320
2 201188
3 199977
4 201849
5 201746
6 20229
7 20238
8 20037
9 20215
10 20204
11 20224
12 20231
13 20250
14 20240

About Benjamin Matthews

Benjamin Matthews is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health and Reproductive Medicine, having authored 14 papers that have together received 618 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (2 papers), Cellular Mechanics and Interactions (2 papers), Endometrial and Cervical Cancer Treatments (1 paper), Muscle Physiology and Disorders (1 paper), Mosquito-borne diseases and control (1 paper), Uterine Myomas and Treatments (1 paper), Neurobiology and Insect Physiology Research (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Sensory Systems (122 citations), Cell Biology (118 citations), Immunology and Allergy (35 citations), Physiology (102 citations) and Pharmacy (15 citations). Benjamin Matthews has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Arvind Ravi, Kaustabh Ghosh, Akiko Mammoto, Charles K. Thodeti, Donald E. Ingber, Theodoros Tsakiridis, Philip J. Bilan, Elisa Boscolo, Joyce Bischoff and Gregory P. Downey. Their work appears in journals such as Microscopy Research and Technique, Journal of Minimally Invasive Gynecology, Journal of Investigative Dermatology, American Journal of Geriatric Psychiatry and Journal of Clinical Oncology.

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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