John McLauchlan

6.4k citations
79 papers · 3.8k indexed · 1 hit paper · h-index 31

Impact in

Papers in

John McLauchlan

79 papers receiving 3.7k citations

Hit Papers

The consensus sequence YGTGTTYY located downstream from the AATAAA signal is required for efficient formation of mRNA 3′ termini 1985 · 592 citations
5921985202619982012100200300400500

Peers

John McLauchlan
Comparison fields: 5 of 105
  • Hepatology 1.5k
  • Virology 302
  • Biochemistry 458
  • Epidemiology 1.8k
  • Immunology 487
Replace Yusuke Miyanari with:
Yusuke Miyanari Japan
Stephanie Kallis Germany
Benno Wölk Germany
Cécile Voisset France
Sharookh B. Kapadia United States
Stephen Griffin United Kingdom
Zongyi Hu United States
Toru Okamoto Japan
Timothy L. Tellinghuisen United States
MinKyung Yi United States
John McLauchlan relative to Yusuke Miyanari Japan Yusuke Miyanari's profile →
Citations per field
00.5×2.5×
Yusuke Miyanari · 1×
Citations per year

Countries citing papers authored by John McLauchlan

Since Specialization
Citations

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

Fields of papers citing papers by John McLauchlan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20231
3 20221
4 202119
5 201917
6 20198
7 201854
8 201511
9 201479
10 201329
11 201055
12 2009179
13 200959
14 20086
15 2008178
16
Protection of Specific-pathogen-free (Spf) Foals from Severe Equine Herpesvirus Type-1 (Ehv-1) Infection Following Immunization with Non-infectious L-particles
20026
17 200162
18 199258
19 198973
20 198666

About John McLauchlan

John McLauchlan is a scholar working on Hepatology, Virology, Epidemiology, Biochemistry and Immunology, having authored 79 papers that have together received 3.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (55 papers), Hepatitis B Virus Studies (26 papers), Liver Disease Diagnosis and Treatment (21 papers), Herpesvirus Infections and Treatments (12 papers), interferon and immune responses (8 papers), HIV Research and Treatment (7 papers), Virus-based gene therapy research (6 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). The work is most often cited by research in Hepatology (1.5k citations), Virology (302 citations), Biochemistry (458 citations), Epidemiology (1.8k citations) and Immunology (487 citations). John McLauchlan has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include J. Barklie Clements, Paul Targett‐Adams, Steeve Boulant, J. Lindsay Whitton, Dairena Gaffney, RM Hope, Ana da Silva Filipe, Mark W. Douglas, Agata Budkowska and Arvind H. Patel. Their work appears in journals such as Journal of Virology, Journal of General Virology, Journal of Biological Chemistry, Viruses and Nucleic Acids 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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