Natalie V. McLean

13 total papers · 480 total citations
9 papers, 425 citations indexed

About

Natalie V. McLean is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Natalie V. McLean has authored 9 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Immunology and Allergy. Recurrent topics in Natalie V. McLean's work include Glycosylation and Glycoproteins Research (3 papers), Protease and Inhibitor Mechanisms (2 papers) and Cell Adhesion Molecules Research (2 papers). Natalie V. McLean is often cited by papers focused on Glycosylation and Glycoproteins Research (3 papers), Protease and Inhibitor Mechanisms (2 papers) and Cell Adhesion Molecules Research (2 papers). Natalie V. McLean collaborates with scholars based in United States, Australia and Canada. Natalie V. McLean's co-authors include Lewis H. Romer, Christopher E. Turner, Keith Burridge, Diane A. Blake, Jianhua Sun, Horace M. DeLisser, Maria B. Grant, Richard J. Bennett, Behdin Nowrouzi‐Kia and Lorraine Carter and has published in prestigious journals such as The Journal of Immunology, Analytical Biochemistry and Molecular Biology of the Cell.

In The Last Decade

Natalie V. McLean

9 papers receiving 418 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Natalie V. McLean 215 180 120 81 59 9 425
Anthony M. Mastrangelo 194 0.9× 178 1.0× 134 1.1× 52 0.6× 43 0.7× 9 408
Samuel A. Green 139 0.6× 179 1.0× 106 0.9× 128 1.6× 45 0.8× 10 456
Pam Pritzl 173 0.8× 129 0.7× 56 0.5× 61 0.8× 104 1.8× 9 461
Thomas J. Lawley 160 0.7× 220 1.2× 56 0.5× 130 1.6× 67 1.1× 9 444
Elaine M. Berger 199 0.9× 183 1.0× 42 0.3× 143 1.8× 43 0.7× 9 470
Ute Ipe 120 0.6× 258 1.4× 86 0.7× 135 1.7× 41 0.7× 9 457
Clara Schreiner 304 1.4× 256 1.4× 133 1.1× 59 0.7× 109 1.8× 9 489
Frances J. Fogerty 130 0.6× 155 0.9× 113 0.9× 77 1.0× 51 0.9× 9 377
Neng‐Hua Guo 131 0.6× 370 2.1× 89 0.7× 61 0.8× 134 2.3× 9 481
Jeongsuk Choi 257 1.2× 155 0.9× 95 0.8× 99 1.2× 30 0.5× 8 387

Countries citing papers authored by Natalie V. McLean

Since Specialization
Citations

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

Fields of papers citing papers by Natalie V. McLean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalie V. McLean. 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 Natalie V. McLean. The network helps show where Natalie V. McLean may publish in the future.

Co-authorship network of co-authors of Natalie V. McLean

This figure shows the co-authorship network connecting the top 25 collaborators of Natalie V. McLean. A scholar is included among the top collaborators of Natalie V. McLean 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 Natalie V. McLean. Natalie V. McLean is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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