Julia L. McKechnie

2.5k total citations · 1 hit paper
7 papers, 1.2k citations indexed

About

Julia L. McKechnie is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Julia L. McKechnie has authored 7 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Infectious Diseases and 4 papers in Molecular Biology. Recurrent topics in Julia L. McKechnie's work include Immune Cell Function and Interaction (3 papers), Glycosylation and Glycoproteins Research (2 papers) and COVID-19 Clinical Research Studies (2 papers). Julia L. McKechnie is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Glycosylation and Glycoproteins Research (2 papers) and COVID-19 Clinical Research Studies (2 papers). Julia L. McKechnie collaborates with scholars based in United States, Panama and India. Julia L. McKechnie's co-authors include Catherine A. Blish, Rosemary Vergara, Laura J. Simpson, Geoffrey T. Ivison, Nancy Q. Zhao, Thanmayi Ranganath, Arjun Rustagi, Aruna Subramanian, Taylor Hollis and Giovanny J. Martínez-Colón and has published in prestigious journals such as Journal of the American Chemical Society, Nature Medicine and Cell Host & Microbe.

In The Last Decade

Julia L. McKechnie

7 papers receiving 1.2k citations

Hit Papers

A single-cell atlas of the peripheral immune response in ... 2020 2026 2022 2024 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia L. McKechnie United States 6 704 426 424 315 105 7 1.2k
Arjun Rustagi United States 15 871 1.2× 625 1.5× 465 1.1× 394 1.3× 202 1.9× 21 1.7k
Qingyu Yang China 15 433 0.6× 130 0.3× 244 0.6× 162 0.5× 167 1.6× 43 949
Moa Sa South Korea 6 507 0.7× 229 0.5× 229 0.5× 215 0.7× 95 0.9× 8 765
Sara Jafarzadeh Iran 14 364 0.5× 200 0.5× 220 0.5× 160 0.5× 78 0.7× 26 843
Yabo Ouyang China 15 331 0.5× 102 0.2× 238 0.6× 118 0.4× 175 1.7× 34 788
Liangshun You China 19 247 0.4× 154 0.4× 434 1.0× 48 0.2× 174 1.7× 45 1.0k
Meng‐Wei Zhuang China 8 369 0.5× 286 0.7× 212 0.5× 73 0.2× 68 0.6× 9 664
Wencheng Ding China 16 204 0.3× 126 0.3× 645 1.5× 78 0.2× 158 1.5× 55 1.2k
Xiao‐Shan Wei China 15 764 1.1× 242 0.6× 208 0.5× 219 0.7× 102 1.0× 26 1.2k

Countries citing papers authored by Julia L. McKechnie

Since Specialization
Citations

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

Fields of papers citing papers by Julia L. McKechnie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia L. McKechnie. 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 Julia L. McKechnie. The network helps show where Julia L. McKechnie may publish in the future.

Co-authorship network of co-authors of Julia L. McKechnie

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

All Works

7 of 7 papers shown
1.
Wilk, Aaron J., Arjun Rustagi, Nancy Q. Zhao, et al.. (2020). A single-cell atlas of the peripheral immune response in patients with severe COVID-19. Nature Medicine. 26(7). 1070–1076. 915 indexed citations breakdown →
2.
McKechnie, Julia L., Anne-Maud Ferreira, Rosemary Vergara, et al.. (2020). Mass Cytometry Analysis of the NK Cell Receptor–Ligand Repertoire Reveals Unique Differences between Dengue-Infected Children and Adults. ImmunoHorizons. 4(10). 634–647. 8 indexed citations
3.
Vendrame, Elena, Julia L. McKechnie, Thanmayi Ranganath, et al.. (2020). Profiling of the Human Natural Killer Cell Receptor-Ligand Repertoire. Journal of Visualized Experiments. 5 indexed citations
4.
McKechnie, Julia L. & Catherine A. Blish. (2020). The Innate Immune System: Fighting on the Front Lines or Fanning the Flames of COVID-19?. Cell Host & Microbe. 27(6). 863–869. 150 indexed citations
5.
McKechnie, Julia L., Ana Belén Araúz, Rosemary Vergara, et al.. (2019). HLA Upregulation During Dengue Virus Infection Suppresses the Natural Killer Cell Response. Frontiers in Cellular and Infection Microbiology. 9. 268–268. 13 indexed citations
6.
Robinson, Peter V., Cheng‐ting Tsai, Amber E. de Groot, Julia L. McKechnie, & Carolyn R. Bertozzi. (2016). Glyco-seek: Ultrasensitive Detection of Protein-Specific Glycosylation by Proximity Ligation Polymerase Chain Reaction. Journal of the American Chemical Society. 138(34). 10722–10725. 55 indexed citations
7.
Robinson, Peter V., et al.. (2015). Live-Cell Labeling of Specific Protein Glycoforms by Proximity-Enhanced Bioorthogonal Ligation. Journal of the American Chemical Society. 137(33). 10452–10455. 70 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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