Jaclyn W. McAlees

1.4k total citations
22 papers, 1.1k citations indexed

About

Jaclyn W. McAlees is a scholar working on Immunology, Physiology and Molecular Biology. According to data from OpenAlex, Jaclyn W. McAlees has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 10 papers in Physiology and 7 papers in Molecular Biology. Recurrent topics in Jaclyn W. McAlees's work include Asthma and respiratory diseases (9 papers), IL-33, ST2, and ILC Pathways (6 papers) and Immune Cell Function and Interaction (4 papers). Jaclyn W. McAlees is often cited by papers focused on Asthma and respiratory diseases (9 papers), IL-33, ST2, and ILC Pathways (6 papers) and Immune Cell Function and Interaction (4 papers). Jaclyn W. McAlees collaborates with scholars based in United States, Germany and Japan. Jaclyn W. McAlees's co-authors include Christopher L. Karp, Virginia M. Sanders, Ian Lewkowich, Fabian Gusovsky, Jerrold Weiss, Daniel P. Rossignol, Wendy Lai, Pragnesh Mistry, Jorge C. G. Blanco and Kari Ann Shirey and has published in prestigious journals such as Nature, Blood and The Journal of Immunology.

In The Last Decade

Jaclyn W. McAlees

22 papers receiving 1.0k citations

Peers

Jaclyn W. McAlees
Comparison fields: 5 of 91
  • Immunology 534
  • Molecular Biology 263
  • Physiology 252
  • Epidemiology 185
  • Oncology 140
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Jiong Yang China
Veronica Rainone Italy
Hongmei Li United States
Rafael S. Czepielewski United States
Theodore S. Kapellos Germany
Diego Cigna Italy
Jenny Meerding Netherlands
Tina L. Sumpter United States
Matteo Villa Germany
Sidney R. Smith United States
Jiong Yang China View profile →
Citations per field, relative to Jaclyn W. McAlees
Jaclyn W. McAlees · 1×
Citations per year, relative to Jaclyn W. McAlees
Jaclyn W. McAlees · 1×

Countries citing papers authored by Jaclyn W. McAlees

Since Specialization
Citations

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

Fields of papers citing papers by Jaclyn W. McAlees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaclyn W. McAlees. 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 Jaclyn W. McAlees. The network helps show where Jaclyn W. McAlees may publish in the future.

Co-authorship network of co-authors of Jaclyn W. McAlees

This figure shows the co-authorship network connecting the top 25 collaborators of Jaclyn W. McAlees. A scholar is included among the top collaborators of Jaclyn W. McAlees 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 Jaclyn W. McAlees. Jaclyn W. McAlees 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
# Work Indexed citations
1 6
2 5
3 43
4 2
5 18
6 20
7 14
8 17
9 62
10 15
11 63
12 78
13 57
14 347
15 30
16 37
17 45
18 1
19 111
20 50

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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