Stephanie Newman

527 citations
8 papers · 316 indexed · h-index 7
Topics
Parkinson's Disease Mechanisms and Treatments (2 papers)Cancer Immunotherapy and Biomarkers (2 papers)Clinical practice guidelines implementation (1 paper)
Partner nations
United StatesJapan

In The Last Decade

Stephanie Newman

8 papers receiving 315 citations

Peers

Stephanie Newman
Comparison fields: 5 of 42
  • Oncology 134
  • Molecular Biology 123
  • Cancer Research 113
  • Pulmonary and Respiratory Medicine 110
  • Immunology 76
Replace María Dolores Ludeña de la Cruz with:
María Dolores Ludeña de la Cruz Spain
Wenyu Di China
Martin Schulze Germany
Roland M. Huber Switzerland
Stavros Polyzoidis United Kingdom
Martina Salzmann Austria
Catherine M. Albert United States
Lorenza Pasqualini Italy
Haolang Ming China
Lixin Jiang China
Stephanie Newman relative to María Dolores Ludeña de la Cruz Spain María Dolores Ludeña de la Cruz's profile →
Citations per field
00.5×3.9×
María Dolores Ludeña de la Cruz · 1×
Citations per year

Countries citing papers authored by Stephanie Newman

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephanie Newman

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 1
2 37
3 46
4 70
5 78
6 36
7 28
8 20

About Stephanie Newman

Stephanie Newman is a scholar working on Sensory Systems, Cancer Research and Oncology, having authored 8 papers that have together received 316 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Clinical practice guidelines implementation (1 paper). The work is most often cited by research in Cancer Research (113 citations), Oncology (134 citations) and Immunology (76 citations). Stephanie Newman has collaborated with scholars based in United States and Japan. Frequent co-authors include Kazuaki Takabe, Ryusei Matsuyama, Masanori Oshi, Yoshihisa Tokumaru, Li Yan, Itaru Endo, Charles H. Adler, Paweł Kaliński, Katrina Gwinn and Masayuki Nagahashi. Their work appears in journals such as International Journal of Molecular Sciences, Movement Disorders and Cancers.

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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