Sarah McKenna

2.2k total citations · 1 hit paper
36 papers, 1.6k citations indexed

About

Sarah McKenna is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Sarah McKenna has authored 36 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Pulmonary and Respiratory Medicine and 10 papers in Immunology. Recurrent topics in Sarah McKenna's work include Immune Response and Inflammation (9 papers), Neonatal Respiratory Health Research (8 papers) and Homelessness and Social Issues (5 papers). Sarah McKenna is often cited by papers focused on Immune Response and Inflammation (9 papers), Neonatal Respiratory Health Research (8 papers) and Homelessness and Social Issues (5 papers). Sarah McKenna collaborates with scholars based in United States, United Kingdom and Australia. Sarah McKenna's co-authors include Peter A. Schweitzer, Sherri W. Christianson, L E Mobraaten, Leonard D. Shultz, Barbara J. Tennent, T. V. Rajan, Dale L. Greiner, Bruce Gott, Isabelle B. Schweitzer and Clyde J. Wright and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

Sarah McKenna

34 papers receiving 1.6k citations

Hit Papers

Multiple defects in innate and adaptive immunologic funct... 1995 2026 2005 2015 1995 250 500 750

Peers

Sarah McKenna
Comparison fields: 5 of 99
  • Immunology 562
  • Molecular Biology 529
  • Oncology 382
  • Genetics 333
  • Hematology 217
Replace Yuan Cao with:
Yuan Cao China
Omid Rasool Sweden
Stéphanie Humblet‐Baron Belgium
Christine M. Seroogy United States
Yuji Takeda Japan
Theodore B. Moore United States
Ann Atzberger Germany
Véronique Mateo France
Frederick D. Goldman United States
Eric R. Fedyk United States
Yuan Cao China View profile →
Citations per field, relative to Sarah McKenna
Sarah McKenna · 1×
Citations per year, relative to Sarah McKenna
Sarah McKenna · 1×

Countries citing papers authored by Sarah McKenna

Since Specialization
Citations

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

Fields of papers citing papers by Sarah McKenna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah McKenna

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah McKenna. A scholar is included among the top collaborators of Sarah McKenna 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 Sarah McKenna. Sarah McKenna 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 1
2 0
3 1
4 2
5 8
6 2
7 19
8 10
9 17
10 78
11 7
12 15
13 11
14 35
15 25
16 61
17 127
18 13
19
Multiple defects in innate and adaptive immunologic function in NOD/LtSz- scid mice. breakdown →
972
20 4

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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