Ben Sayer

672 citations
6 papers · 474 · 1 hit paper · h-index 4

Impact in

    • Dermatology and Skin Diseases
    • Psoriasis: Treatment and Pathogenesis
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

Ben Sayer

5 papers receiving 468 citations

Ben Sayer's Hit Papers

Developmental cell programs are co-opted in inflammatory skin disease 2021 · 387 citations
3870+1+3Years since publication100200300

Peers

Ben Sayer
Comparison fields: 5 of 73
  • Dermatology 120
  • Immunology 214
  • Applied Microbiology and Biotechnology 14
  • Immunology and Allergy 24
  • Physiology 76
Replace Naoya Kameyama with:
Naoya Kameyama United States
Katharina Rindler Austria
Natalia Alkon Austria
Hyun Je Kim South Korea
Manja Jargosch Germany
Xing-Hua Gao China
Akimasa Saito Japan
Kazuya Tokime Japan
Susanne Breit Germany
Sarah K. Whitley United States
Ben Sayer relative to Naoya Kameyama United States Naoya Kameyama's profile →
Citations per field
00.5×1.5×
Naoya Kameyama · 1×
Citations per year

Countries citing papers authored by Ben Sayer

Since Specialization
Citations

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

Fields of papers citing papers by Ben Sayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Ben Sayer, 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 Ben Sayer Line = papers co-authored together Ben Sayer links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Ben Sayer

Ben Sayer is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Obstetrics and Gynecology, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 6 papers that have together received 474 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (1 paper), Pregnancy and preeclampsia studies (1 paper), Antibiotics Pharmacokinetics and Efficacy (1 paper), CAR-T cell therapy research (1 paper), Asthma and respiratory diseases (1 paper), Antibiotic Resistance in Bacteria (1 paper), Birth, Development, and Health (1 paper) and Antibiotic Use and Resistance (1 paper). The work is most often cited by research in Dermatology (120 citations), Immunology (214 citations), Applied Microbiology and Biotechnology (14 citations), Immunology and Allergy (24 citations) and Physiology (76 citations). Ben Sayer has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Rebecca Fortescue, Manuela Del Forno, Montse Ferrer, Stefanie Schmidt, Christopher J Cates, Mike Sharland, Yingfen Hsia, Barbara Bortone, Guy Whitley and Sandra V. Ashton. Their work appears in journals such as Cochrane Database of Systematic Reviews, Science, British Journal of Clinical Pharmacology, Placenta and Journal of Infection.

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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