Alexandra Newman

3.4k citations
11 papers · 1.2k indexed · 1 hit paper · h-index 6
Topics
Atherosclerosis and Cardiovascular Diseases (5 papers)Angiogenesis and VEGF in Cancer (3 papers)Axon Guidance and Neuronal Signaling (2 papers)

In The Last Decade

Alexandra Newman

10 papers receiving 1.2k citations

Hit Papers

KLF4-dependent phenotypic modulation of smooth muscle cel...20152026201820222015250500750

Peers

Alexandra Newman
Comparison fields: 5 of 75
  • Molecular Biology 660
  • Immunology 588
  • Cancer Research 214
  • Surgery 185
  • Epidemiology 179
Replace Ryan M. Haskins with:
Ryan M. Haskins United States
Laura S. Shankman United States
Olga A. Cherepanova United States
Richard A. Baylis United States
Yevgenia Tesmenitsky United States
Joel Chappell United Kingdom
Chongxiu Sun United States
Curran Murphy United States
Ela Karshovska Germany
Ljubica Perisic Sweden
Alexandra Newman relative to Ryan M. Haskins United States Ryan M. Haskins's profile →
Citations per field
00.5×1.5×
Ryan M. Haskins · 1×
Citations per year

Countries citing papers authored by Alexandra Newman

Since Specialization
Citations

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

Fields of papers citing papers by Alexandra Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandra Newman

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 5
3 1
4 3
5 1
6 30
7 100
8 190
9 20
10 1
11
KLF4-dependent phenotypic modulation of smooth muscle cells has a key role in atherosclerotic plaque pathogenesisbreakdown →
843

About Alexandra Newman

Alexandra Newman is a scholar working on Immunology, Immunology and Allergy and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (5 papers), Angiogenesis and VEGF in Cancer (3 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Immunology (588 citations), Immunology and Allergy (108 citations) and Cancer Research (214 citations). Alexandra Newman has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Gary K. Owens, Gabriel F. Alencar, Gwendalyn J. Randolph, Delphine Gomez, Olga A. Cherepanova, Laura S. Shankman, Pamela Swiatlowska, Morgan Salmon, Elizabeth S. Greene and Adam C. Straub. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Circulation Research.

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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