Mark Quinn

6.7k citations
81 papers · 4.8k indexed · 2 hit papers · h-index 30

Mark Quinn

79 papers receiving 4.6k citations

Hit Papers

An explanation for the apparent dissociation between clin...5902006202620122019100200300400500

Peers

Mark Quinn
Comparison fields: 5 of 122
  • Rheumatology 3.7k
  • Hematology 1.3k
  • Genetics 368
  • Immunology 694
  • Orthopedics and Sports Medicine 250
Replace E. Hensor with:
E. Hensor United Kingdom
Iain Watt United Kingdom
Ina Kötter Germany
Ignazio Olivieri Italy
Yuko Kaneko Japan
Luis M. Vilá Puerto Rico
David G. I. Scott United Kingdom
Reiji Kasukawa Japan
Richard A. Watts United Kingdom
E M Barrett United Kingdom
Mark Quinn relative to E. Hensor United Kingdom E. Hensor's profile →
Citations per field
00.5×1.5×
E. Hensor · 1×
Citations per year

Countries citing papers authored by Mark Quinn

Since Specialization
Citations

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

Fields of papers citing papers by Mark Quinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20232
3 20213
4 201916
5 201911
6 201830
7 201451
8 2013122
9 2012135
10 201027
11 200955
12 2009113
13 2008136
14 200761
15 2005421
16
Window of opportunity in early rheumatoid arthritis: possibility of altering the disease process with early intervention.
2004155
17 2003263
18 2001108
19
An aggregation pheromone system for monitoring pea leaf weevil (Coleoptera: Curculionidae) in the Pacific Northwest
19998
20
Effect of multiple concentrations and rates of an insecticidal bait on grasshoppers (Orthoptera: Acrididae) of mixedgrass prairie.
19983

About Mark Quinn

Mark Quinn is a scholar working on Rheumatology, Hematology and Insect Science, having authored 81 papers that have together received 4.8k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (28 papers), Systemic Lupus Erythematosus Research (19 papers), Autoimmune and Inflammatory Disorders Research (14 papers), Insect-Plant Interactions and Control (10 papers), Nematode management and characterization studies (6 papers), Insect Pest Control Strategies (5 papers), Ecology and Vegetation Dynamics Studies (5 papers) and Legume Nitrogen Fixing Symbiosis (5 papers). The work is most often cited by research in Rheumatology (3.7k citations), Hematology (1.3k citations) and Genetics (368 citations). Mark Quinn has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Paul Emery, Philip G. Conaghan, Richard J. Wakefield, Andrew K. Brown, Philip O’Connor, E. Hensor, Z Karim, Charles Peterfy, Zunaid Karim and Kei Ikeda. Their work appears in journals such as Environmental Entomology, Lara D. Veeken, Annals of the Rheumatic Diseases, The Lancet and Journal of Economic Entomology.

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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