Sara A. Byron

3.3k citations
48 papers · 1.9k indexed · 1 hit paper · h-index 18
Topics
Cancer Genomics and Diagnostics (15 papers)Fibroblast Growth Factor Research (13 papers)Glioma Diagnosis and Treatment (6 papers)

In The Last Decade

Sara A. Byron

47 papers receiving 1.9k citations

Hit Papers

Translating RNA sequencing into clinical diagnostics: opp...20162026201920222016100200300400500

Peers

Sara A. Byron
Comparison fields: 5 of 113
  • Molecular Biology 1.3k
  • Cancer Research 549
  • Oncology 375
  • Pulmonary and Respiratory Medicine 223
  • Pathology and Forensic Medicine 179
Replace Bin Shi with:
Bin Shi China
Kae Hashimoto Japan
Yusuke Nakamura Japan
Prudence A. E. Scott United Kingdom
Efi E. Massasa United States
Lalit R. Patel United States
Genta Nagae Japan
Anne M. Øyan Norway
Gang Ning United States
Yutaka Hatanaka Japan
Sara A. Byron relative to Bin Shi China Bin Shi's profile →
Citations per field
00.5×2.9×
Bin Shi · 1×
Citations per year

Countries citing papers authored by Sara A. Byron

Since Specialization
Citations

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

Fields of papers citing papers by Sara A. Byron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara A. Byron

This figure shows the co-authorship network connecting the top 25 collaborators of Sara A. Byron. A scholar is included among the top collaborators of Sara A. Byron 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 Sara A. Byron. Sara A. Byron 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
#WorkIndexed citations
1 3
2 0
3 1
4 10
5 6
6 14
7 8
8 41
9 12
10
Translating RNA sequencing into clinical diagnostics: opportunities and challengesbreakdown →
504
11 157
12 2
13 38
14 140
15 1
16 37
17 102
18 38
19 119
20
Inhibition of FGFR2 in endometrial cancer cells induced apoptosis despite constitutive activation of the PI3K/AKT pathway.
1

About Sara A. Byron

Sara A. Byron is a scholar working on Cancer Research, Structural Biology and Genetics, having authored 48 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (15 papers), Fibroblast Growth Factor Research (13 papers) and Glioma Diagnosis and Treatment (6 papers). The work is most often cited by research in Cancer Research (549 citations), Molecular Biology (1.3k citations) and Obstetrics and Gynecology (147 citations). Sara A. Byron has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include John D. Carpten, David W. Craig, Pamela M. Pollock, Kendall Van Keuren‐Jensen, David M. Engelthaler, Michael G. Gartside, Candice L. Wellens, Paul J. Goodfellow, Matthew A. Powell and David G. Mutch. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Nature Reviews Genetics.

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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