Sara R. Savage

5.9k citations
23 papers · 500 indexed · h-index 14
    • Retinal Diseases and Treatments 5
    • Cancer Genomics and Diagnostics 4
  • Spectroscopy top 10%
    • Advanced Proteomics Techniques and Applications 4
    • Bioinformatics and Genomic Networks 5
    • Machine Learning in Bioinformatics 3
    • vaccines and immunoinformatics approaches 3
    • Signaling Pathways in Disease 3
    • Peptidase Inhibition and Analysis 3

Sara R. Savage

22 papers receiving 498 citations

Peers

Sara R. Savage
Comparison fields: 5 of 74
  • Ophthalmology 60
  • Cancer Research 77
  • Spectroscopy 83
  • Molecular Biology 342
  • Immunology 72
Replace Un‐Beom Kang with:
Un‐Beom Kang South Korea
Emanuel M. Schreiber United States
Mingming Liu China
Michitoshi Watanabe Japan
Karen Aughton United Kingdom
Sue-Hwa Lin United States
Brian A. Soreghan United States
Sarah Jeanfavre United States
Yumiko Moritani Japan
Malathi Narayan United States
Sara R. Savage relative to Un‐Beom Kang South Korea Un‐Beom Kang's profile →
Citations per field
00.5×4.6×
Un‐Beom Kang · 1×
Citations per year

Countries citing papers authored by Sara R. Savage

Since Specialization
Citations

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

Fields of papers citing papers by Sara R. Savage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara R. Savage. 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 Sara R. Savage. The network helps show where Sara R. Savage may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Sara R. Savage, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sara R. Savage Line = papers co-authored together Sara R. Savage links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 202433
4 20242
5 20233
6 20231
7 202327
8 202234
9 202181
10 202132
11 202040
12 2020101
13 201916
14 201912
15 20171
16 201517
17 201514
18 201326
19 201316
20
The PGF2 FP Receptor Mediates Retinal Angiogenic Cell Behaviors In Vitro
20111

About Sara R. Savage

Sara R. Savage is a scholar working on Ophthalmology, Cancer Research and Molecular Biology, having authored 23 papers that have together received 500 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (5 papers), Bioinformatics and Genomic Networks (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Cancer Genomics and Diagnostics (4 papers), Machine Learning in Bioinformatics (3 papers), vaccines and immunoinformatics approaches (3 papers), Signaling Pathways in Disease (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Ophthalmology (60 citations), Cancer Research (77 citations) and Spectroscopy (83 citations). Sara R. Savage has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Bing Zhang, John S. Penn, Yuxing Liao, Zhiao Shi, Bo Wen, Megan E. Capozzi, Gary W. McCollum, Colin A. Bretz, Wen‐Feng Zeng and Yongchao Dou.

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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