Mikell Paige

2.7k citations
72 papers · 2.0k indexed · 2 hit papers · h-index 22
Topics
Nicotinic Acetylcholine Receptors Study (11 papers)Peptidase Inhibition and Analysis (8 papers)Receptor Mechanisms and Signaling (6 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaACS Nano

In The Last Decade

Mikell Paige

67 papers receiving 2.0k citations

Hit Papers

Nanomaterial Delivery Systems for mRNA Vaccines202120262022202420212021100200300400

Peers

Mikell Paige
Comparison fields: 5 of 121
  • Molecular Biology 1.2k
  • Organic Chemistry 495
  • Immunology 188
  • Infectious Diseases 185
  • Cellular and Molecular Neuroscience 129
Replace Yan Qin with:
Yan Qin China
Toshio Yoshida Japan
Masami Tanaka Japan
Luitgard Nagel‐Steger Germany
Shuai Wu China
Wenqian Yang China
Takashi Nakai Japan
Nanxi Wang China
Hongyin Wang China
Mikell Paige relative to Yan Qin China Yan Qin's profile →
Citations per field
00.5×3.2×
Yan Qin · 1×
Citations per year

Countries citing papers authored by Mikell Paige

Since Specialization
Citations

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

Fields of papers citing papers by Mikell Paige

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikell Paige

This figure shows the co-authorship network connecting the top 25 collaborators of Mikell Paige. A scholar is included among the top collaborators of Mikell Paige 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 Mikell Paige. Mikell Paige 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
#WorkIndexed citations
1 1
2 0
3 1
4 0
5 2
6 5
7 5
8 5
9 3
10 6
11
Characterizing Gas Exchange Physiology in Healthy Young Electronic-Cigarette Users with Hyperpolarized 129Xe MRI: A Pilot Study
4
12
Ionization and structural properties of mRNA lipid nanoparticles influence expression in intramuscular and intravascular administrationbreakdown →
291
13 9
14 20
15 2
16 17
17 34
18 89
19 13
20 13

About Mikell Paige

Mikell Paige is a scholar working on Horticulture, Biochemistry and Molecular Biology, having authored 72 papers that have together received 2.0k indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (11 papers), Peptidase Inhibition and Analysis (8 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Horticulture (25 citations), Molecular Biology (1.2k citations) and Organic Chemistry (495 citations). Mikell Paige has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Suman Alishetty, Drew Weissman, Mohamad‐Gabriel Alameh, Michael D. Buschmann, Manuel Carrasco, Milton L. Brown, Ernest Hamel, Sivanesan Dakshanamurthy, Scott Grindrod and Thomas E. Cleveland. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and ACS Nano.

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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