J Seery

11 papers receiving 1.1k citations

J Seery's Hit Papers

Tat-mediated delivery of heterologous proteins into cells. 1994 · 1.1k citations
1.1k0+10+21Years since publication2505007501000

Peers

J Seery
Comparison fields: 5 of 80
  • Virology 94
  • Microbiology 78
  • Molecular Biology 865
  • Genetics 280
  • Immunology 178
Replace Andrey A. Arzumanov with:
Andrey A. Arzumanov United Kingdom
David T. McPherson United States
Vandana Sood United States
Julien Depollier France
Shawn Patrick Zinnen United States
Gisela Lättig-Tünnemann Germany
Josette Svab France
Anne M. Noronha Canada
Chia‐Ying Chu Taiwan
Patrick Y. Lu United States
J Seery relative to Andrey A. Arzumanov United Kingdom Andrey A. Arzumanov's profile →
Citations per field
00.5×1.5×2.2×
Andrey A. Arzumanov · 1×
Citations per year

Countries citing papers authored by J Seery

Since Specialization
Citations

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

Fields of papers citing papers by J Seery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Tat-mediated delivery of heterologous proteins into cells.
Hit paper breakdown →
19941054
2 199634
3
A central role for alpha beta T cells in the pathogenesis of murine lupus.
199927
4 200317
5 19919
6 20015
7
Piezoelectric shockwave lithotripsy edap lt01 bioeffects of single and multiple treatments
19893
8 19913
9 19882
10 19902
11 19992

About J Seery

J Seery is a scholar working on Genetics, Hepatology, Epidemiology, Pharmacology and Complementary and Manual Therapy, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Microscopic Colitis (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Medical and Biological Ozone Research (2 papers), Inflammatory Bowel Disease (2 papers), Multiple and Secondary Primary Cancers (1 paper), Immune Cell Function and Interaction (1 paper), Kidney Stones and Urolithiasis Treatments (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Virology (94 citations), Microbiology (78 citations), Molecular Biology (865 citations), Genetics (280 citations) and Immunology (178 citations). J Seery has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Carol B. Moore, Blake Pepinsky, James Barsoum, Stephen E. Fawell, Simon David Taylor-Robinson, R. Jalan, Alishba Inshal Qasim, Michael Owen, Joseph M. Carroll and Victoria Cattell. Their work appears in journals such as The Lancet, Alimentary Pharmacology & Therapeutics, Gut, Digestive and Liver Disease and Clinical Radiology.

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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