Julia Paxson

440 total citations
13 papers, 323 citations indexed

About

Julia Paxson is a scholar working on Surgery, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Julia Paxson has authored 13 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Genetics and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Julia Paxson's work include Mesenchymal stem cell research (4 papers), Veterinary Equine Medical Research (3 papers) and Neonatal Respiratory Health Research (3 papers). Julia Paxson is often cited by papers focused on Mesenchymal stem cell research (4 papers), Veterinary Equine Medical Research (3 papers) and Neonatal Respiratory Health Research (3 papers). Julia Paxson collaborates with scholars based in United States and Croatia. Julia Paxson's co-authors include Edward P. Ingenito, Andrew M. Hoffman, Melissa R. Mazan, Airiel M. Davis, Alisha M. Gruntman, Shivraj Tyagi, Kangla Tsung, Norton Ja, Andrew M. Hoffman and Rose Nolen‐Walston and has published in prestigious journals such as PLoS ONE, Journal of Visualized Experiments and Respiratory Research.

In The Last Decade

Julia Paxson

12 papers receiving 318 citations

Peers

Julia Paxson
Comparison fields: 5 of 68
  • Pulmonary and Respiratory Medicine 134
  • Surgery 117
  • Molecular Biology 81
  • Genetics 81
  • Genetics 37
Replace Julia Hupfeld with:
Julia Hupfeld Germany
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Nora L. Springer United States
Renata L. Linardi United States
Anthony D. Pardo United States
Robert W. Stoddart United Kingdom
Lakshman Chelvarajan United States
Aaron I. Weiner United States
Pardis Saeedi Iran
Yupeng Yin China
Julia Hupfeld Germany View profile →
Citations per field, relative to Julia Paxson
Julia Paxson · 1×
Citations per year, relative to Julia Paxson
Julia Paxson · 1×

Countries citing papers authored by Julia Paxson

Since Specialization
Citations

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

Fields of papers citing papers by Julia Paxson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Paxson

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 0
2 15
3 26
4 33
5 19
6 28
7 50
8 79
9 1
10 25
11 2
12 12
13
In vitro and in vivo kinetics of recombinant vaccinia virus cancer-gene therapy.
33

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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