Michael Wright

3.0k citations
82 papers · 2.2k · h-index 26

Impact in

  • Physiology top 5%
    • RNA Interference and Gene Delivery
    • Receptor Mechanisms and Signaling
    • Glycosylation and Glycoproteins Research
    • Advanced biosensing and bioanalysis techniques

Papers in

    • Glycosylation and Glycoproteins Research 6
    • Plant Reproductive Biology 6
    • Adenosine and Purinergic Signaling 12

Michael Wright

81 papers receiving 2.1k citations

Peers

Michael Wright
Comparison fields: 5 of 123
  • Physiology 95
  • Molecular Biology 1.1k
  • Endocrinology, Diabetes and Metabolism 236
  • Biomaterials 184
  • Immunology 207
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Citations per field
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Citations per year

Countries citing papers authored by Michael Wright

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017194
2 2014182
3 2021109
4 199578
5 201277
6 201873
7 197461
8 201160
9 197457
10 197855
11 201455
12 200254
13 202249
14 200946
15 201743
16 201342
17 202138
18 197838
19 201737
20 200436

About Michael Wright

Michael Wright is a scholar working on Molecular Biology, Physiology, Radiology, Nuclear Medicine and Imaging, Immunology and Biomedical Engineering, having authored 82 papers that have together received 2.2k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (12 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Glycosylation and Glycoproteins Research (6 papers), Plant Reproductive Biology (6 papers), Nanoparticle-Based Drug Delivery (6 papers), Ultrasound and Hyperthermia Applications (5 papers), Diabetes Treatment and Management (5 papers) and Nanoplatforms for cancer theranostics (5 papers). The work is most often cited by research in Physiology (95 citations), Molecular Biology (1.1k citations), Endocrinology, Diabetes and Metabolism (236 citations), Biomaterials (184 citations) and Immunology (207 citations). Michael Wright has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Maya Thanou, Andrew D. Miller, Daphne J. Osborne, Joachim H. G. Steinke, Rachel Cavill, Bryn D. Monnery, Sunil Shaunak, Wladyslaw Gedroyc, Richard Hoogenboom and William P. Griffith. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, mAbs, Organic & Biomolecular Chemistry, Analytical Biochemistry and Oncogene.

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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