Michael Seed

2.4k total citations · 1 hit paper
53 papers, 1.9k citations indexed

About

Michael Seed is a scholar working on Rheumatology, Pharmacology and Molecular Biology. According to data from OpenAlex, Michael Seed has authored 53 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Rheumatology, 18 papers in Pharmacology and 15 papers in Molecular Biology. Recurrent topics in Michael Seed's work include Inflammatory mediators and NSAID effects (16 papers), Cell Adhesion Molecules Research (11 papers) and Osteoarthritis Treatment and Mechanisms (10 papers). Michael Seed is often cited by papers focused on Inflammatory mediators and NSAID effects (16 papers), Cell Adhesion Molecules Research (11 papers) and Osteoarthritis Treatment and Mechanisms (10 papers). Michael Seed collaborates with scholars based in United Kingdom, United States and Canada. Michael Seed's co-authors include D. A. Willoughby, James D. Winkler, Jeffrey R. Jackson, Paul Colville‐Nash, Richard Williams, Kay McNamee, Mauro Perretti, Joanne R. Brown, Hetal Patel and Jim O’Donovan and has published in prestigious journals such as The EMBO Journal, PLoS ONE and The FASEB Journal.

In The Last Decade

Michael Seed

53 papers receiving 1.8k citations

Hit Papers

The codependence of angiogenesis and chronic inflammation 1997 2026 2006 2016 1997 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Seed United Kingdom 22 610 327 325 306 265 53 1.9k
M. Händel Germany 24 555 0.9× 383 1.2× 231 0.7× 495 1.6× 200 0.8× 62 2.4k
Rowan Hardy United Kingdom 26 701 1.1× 343 1.0× 277 0.9× 261 0.9× 91 0.3× 58 2.3k
Anne M. Pippen United States 23 870 1.4× 598 1.8× 188 0.6× 307 1.0× 96 0.4× 32 2.4k
Francine Rendu France 31 728 1.2× 346 1.1× 172 0.5× 157 0.5× 125 0.5× 108 2.9k
Qiang Guo China 17 641 1.1× 320 1.0× 271 0.8× 665 2.2× 114 0.4× 48 2.0k
Julia J. Inglis United Kingdom 22 594 1.0× 804 2.5× 314 1.0× 754 2.5× 318 1.2× 27 2.4k
Shin‐ichi Harashima Japan 21 944 1.5× 834 2.6× 233 0.7× 457 1.5× 213 0.8× 69 2.9k
Masahiro Sakata Japan 35 1.1k 1.9× 470 1.4× 498 1.5× 294 1.0× 157 0.6× 162 3.5k
Yasmina Juarranz Spain 29 386 0.6× 582 1.8× 433 1.3× 376 1.2× 178 0.7× 58 1.8k
Roland Axmann Germany 17 828 1.4× 528 1.6× 386 1.2× 1.1k 3.5× 139 0.5× 25 2.5k

Countries citing papers authored by Michael Seed

Since Specialization
Citations

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

Fields of papers citing papers by Michael Seed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Seed

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Seed. A scholar is included among the top collaborators of Michael Seed based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Seed. Michael Seed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Thomas, B.L., Hefin Rhys, Jordi L. Tremoleda, et al.. (2020). Targeting Extracellular Vesicles to the Arthritic Joint Using a Damaged Cartilage-Specific Antibody. Frontiers in Immunology. 11. 10–10. 36 indexed citations
2.
Tew, Garry A., Simon Anderson, Louise Langmead, et al.. (2019). High-intensity interval training and moderate-intensity continuous training in adults with Crohn’s disease: a pilot randomised controlled trial. BMC Gastroenterology. 19(1). 19–19. 53 indexed citations
3.
Piovezan, Anna Paula, Bruna Lenfers Turnes, Daniel F. Martins, et al.. (2017). Hydroalcoholic crude extract of Casearia sylvestris Sw. reduces chronic post-ischemic pain by activation of pro-resolving pathways. Journal of Ethnopharmacology. 204. 179–188. 15 indexed citations
5.
Hawkins, Penny, Rachel Armstrong, Paul Garside, et al.. (2015). Applying refinement to the use of mice and rats in rheumatoid arthritis research. Inflammopharmacology. 23(4). 131–150. 46 indexed citations
6.
McNamee, Kay, Richard Williams, & Michael Seed. (2015). Animal models of rheumatoid arthritis: How informative are they?. European Journal of Pharmacology. 759. 278–286. 83 indexed citations
7.
Mancino, Alessandra, Mohamed Habbeddine, Magali Bébien, et al.. (2013). I kappa B kinase alpha (IKKα) activity is required for functional maturation of dendritic cells and acquired immunity to infection. The EMBO Journal. 32(6). 816–828. 15 indexed citations
8.
Chen, Yung‐Yi, Nicola J. Brown, Claire E. Lewis, et al.. (2013). A peptide derived from TIMP-3 inhibits multiple angiogenic growth factor receptors and tumour growth and inflammatory arthritis in mice. Angiogenesis. 17(1). 207–219. 22 indexed citations
9.
Patel, Hetal, Kristin N. Kornerup, Fulvio D’Acquisto, et al.. (2012). The impact of endogenous annexin A1 on glucocorticoid control of inflammatory arthritis. Annals of the Rheumatic Diseases. 71(11). 1872–1880. 68 indexed citations
10.
Ayoub, Samir S., Gareth Pryce, Michael Seed, et al.. (2011). Paracetamol-Induced Hypothermia Is Independent of Cannabinoids and Transient Receptor Potential Vanilloid-1 and Is Not Mediated by AM404. Drug Metabolism and Disposition. 39(9). 1689–1695. 18 indexed citations
11.
Ayoub, Samir S., et al.. (2010). Cyclooxygenases. Methods in molecular biology. 4 indexed citations
12.
Dell’Accio, Francesco, Antonio Manzo, Michael Seed, et al.. (2010). Human single‐chain variable fragment that specifically targets arthritic cartilage. Arthritis & Rheumatism. 62(4). 1007–1016. 35 indexed citations
13.
Tucker, A., Zamri Chik, Kimberly C. Kirby, et al.. (2006). Study of a combined percutaneous local anaesthetic and the TDS ® system for venepuncture. Anaesthesia. 61(2). 123–126. 1 indexed citations
14.
Seed, Michael, Judith C. Brown, Mauro Perretti, et al.. (2005). The inhibition of neutrophil-endothelial cell adhesion by hyaluronan independent of CD44. Inflammopharmacology. 12(5-6). 535–550. 13 indexed citations
15.
16.
Gilroy, Derek W., Anneka Tomlinson, Kevin Greenslade, Michael Seed, & D. A. Willoughby. (1998). The Effects of Cyclooxygenase 2 Inhibitors on Cartilage Erosion and Bone Loss in a Model of Mycobacterium tuberculosis-Induced Monoarticular Arthritis in the Rat. Inflammation. 22(5). 509–519. 32 indexed citations
17.
Seed, Michael, et al.. (1997). Apoptosis Induction and Inhibition of Colon-26 Tumour Growth and Angiogenesis: Findings On COX-1 and COX-2 Inhibitors in Vitro & in Vivo and Topical Diclofenac in Hyaluronan. Advances in experimental medicine and biology. 433. 339–342. 23 indexed citations
18.
Willoughby, D. A., et al.. (1996). Additional comments on non-steroidal anti-inflammatory drugs and topical analgesia ( PAIN , 61 (1995) 494–495). Pain. 64(1). 205–205. 1 indexed citations
19.
Seed, Michael. (1996). Section Review Oncologic, Endocrine & Metabolic: Angiogenesis inhibition as a drug target for disease: an update. Expert Opinion on Investigational Drugs. 5(12). 1617–1637. 13 indexed citations
20.
Seed, Michael, et al.. (1996). Proteoglycan degrading activity in granulomatous inflammation: Comparison between the C57bl/6 and C57bg/bg mouse. Inflammation Research. 45(10). 494–498. 2 indexed citations

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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