Ranelle Salunga

4.5k citations
24 papers · 2.7k indexed · 2 hit papers · h-index 13

Ranelle Salunga

23 papers receiving 2.6k citations

Hit Papers

Gene expression profiles of human breast cancer progression6731999202620082017200400600

Peers

Ranelle Salunga
Comparison fields: 5 of 120
  • Cancer Research 1.0k
  • Oncology 910
  • Oral Surgery 174
  • Pathology and Forensic Medicine 407
  • Molecular Biology 1.5k
Replace Andreas Waha with:
Andreas Waha Germany
Brent A. Orr United States
Paul A. Northcott United States
Sonika Dahiya United States
Andrew Wood United States
Marc Remke Germany
Allan J. Yates United States
Ruthild G. Weber Germany
Juana García-Pedrero Spain
Deric M. Park United States
Ranelle Salunga relative to Andreas Waha Germany Andreas Waha's profile →
Citations per field
00.5×5.0×
Andreas Waha · 1×
Citations per year

Countries citing papers authored by Ranelle Salunga

Since Specialization
Citations

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

Fields of papers citing papers by Ranelle Salunga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ranelle Salunga, 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 Ranelle Salunga Line = papers co-authored together Ranelle Salunga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20242
4 20231
5 202225
6 20225
7 20225
8 20202
9 2019125
10 20161
11 201385
12 2011150
13 201173
14 20094
15 2008227
16 2006156
17 2003238
18
Gene expression profiles of human breast cancer progressionbreakdown →
2003673
19 2002124
20
Gene expression profiles of laser-captured adjacent neuronal subtypesbreakdown →
1999605

About Ranelle Salunga

Ranelle Salunga is a scholar working on Cancer Research, Genetics, Pulmonary and Respiratory Medicine, Oncology and Molecular Biology, having authored 24 papers that have together received 2.7k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (14 papers), Estrogen and related hormone effects (9 papers), Advanced Breast Cancer Therapies (8 papers), Molecular Biology Techniques and Applications (7 papers), Gene expression and cancer classification (5 papers), Cancer Risks and Factors (3 papers), Cancer Genomics and Diagnostics (3 papers) and Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (1.0k citations), Oncology (910 citations), Oral Surgery (174 citations), Pathology and Forensic Medicine (407 citations) and Molecular Biology (1.5k citations). Ranelle Salunga has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Mark G. Erlander, Dennis C. Sgroi, Hongqing Guo, Anton Bittner, Jackson Wan, Lin Luo, Xiaojun Ma, Jose Galindo, Kathryn E. Rogers and Michael R. Jackson. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, Annals of Oncology, Proceedings of the National Academy of Sciences and Cancer 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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