Ranelle Salunga

4.5k total citations · 2 hit papers
24 papers, 2.7k citations indexed

About

Ranelle Salunga is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ranelle Salunga has authored 24 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cancer Research, 10 papers in Molecular Biology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ranelle Salunga's work include Breast Cancer Treatment Studies (14 papers), Estrogen and related hormone effects (9 papers) and Advanced Breast Cancer Therapies (8 papers). Ranelle Salunga is often cited by papers focused on Breast Cancer Treatment Studies (14 papers), Estrogen and related hormone effects (9 papers) and Advanced Breast Cancer Therapies (8 papers). Ranelle Salunga collaborates with scholars based in United States, United Kingdom and Canada. Ranelle Salunga's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Ranelle Salunga

23 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Gene expression profiles of human breast cancer progression

2003 673 citations Xiaojun Ma, Ranelle Salunga et al. Proceedings of the National Academy of Sciences profile →
Gene expression profiles of laser-captured adjacent neuronal subtypes

1999 605 citations Lin Luo, Ranelle Salunga et al. Nature Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ranelle Salunga United States	13	1.5k	1.0k	910	407	320	24	2.7k
Ruthild G. Weber Germany	33	2.0k 1.4×	499 0.5×	477 0.5×	407 1.0×	859 2.7×	72	3.7k
Raymond S. Lim United States	22	854 0.6×	743 0.7×	681 0.7×	609 1.5×	215 0.7×	41	2.1k
Andreas Waha Germany	38	2.4k 1.6×	766 0.8×	783 0.9×	292 0.7×	394 1.2×	91	4.2k
Brent A. Orr United States	34	1.8k 1.2×	640 0.6×	498 0.5×	253 0.6×	188 0.6×	125	3.1k
Michael Borges United States	30	2.4k 1.6×	1.3k 1.3×	2.4k 2.7×	393 1.0×	469 1.5×	53	4.5k
Andrew Wood United States	22	1.1k 0.7×	416 0.4×	699 0.8×	152 0.4×	102 0.3×	78	2.4k
Juana García-Pedrero Spain	31	1.4k 0.9×	552 0.5×	847 0.9×	103 0.3×	297 0.9×	111	2.7k
Sonika Dahiya United States	33	1.6k 1.1×	950 0.9×	961 1.1×	239 0.6×	340 1.1×	142	4.2k
Javier S. Castresana Spain	30	1.4k 1.0×	592 0.6×	708 0.8×	157 0.4×	197 0.6×	115	2.3k
Arend Koch Germany	34	1.4k 1.0×	421 0.4×	415 0.5×	233 0.6×	248 0.8×	85	2.6k

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 of co-authors of Ranelle Salunga

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Salunga, Ranelle, Wilma E. Mesker, Linda de Munck, et al.. (2025). Identification of Early-Stage Breast Cancer with a Minimal Risk of Recurrence by the Breast Cancer Index. Clinical Cancer Research. 31(11). 2222–2229. 1 indexed citations

Bartlett, John M.S., Ranelle Salunga, Linda de Munck, et al.. (2025). Validation of minimal risk of recurrence classification by the Breast Cancer Index in early stage breast cancer. npj Breast Cancer. 12(1). 21–21.

Bartlett, John M.S., Keying Xu, Gregory R. Pond, et al.. (2024). Validation of the Prognostic Performance of Breast Cancer Index in Hormone Receptor–Positive Postmenopausal Breast Cancer Patients in the TEAM Trial. Clinical Cancer Research. 30(8). 1509–1517. 2 indexed citations

Bartlett, John M.S., Keying Xu, Gregory R. Pond, et al.. (2023). Assessment of risk of overall and late distant recurrence by Breast Cancer Index in postmenopausal women with early-stage, HR+ breast cancer in the TEAM trial.. Journal of Clinical Oncology. 41(16_suppl). 509–509. 1 indexed citations

Bartlett, John M.S., Dennis C. Sgroi, Kai Treuner, et al.. (2022). Breast Cancer Index Is a Predictive Biomarker of Treatment Benefit and Outcome from Extended Tamoxifen Therapy: Final Analysis of the Trans-aTTom Study. Clinical Cancer Research. 28(9). 1871–1880. 25 indexed citations

Sgroi, Dennis C., Kai Treuner, Yi Zhang, et al.. (2022). Correlative studies of the Breast Cancer Index (HOXB13/IL17BR) and ER, PR, AR, AR/ER ratio and Ki67 for prediction of extended endocrine therapy benefit: a Trans-aTTom study. Breast Cancer Research. 24(1). 90–90. 5 indexed citations

Bartlett, JMS, Keying Xu, Jacqueline Wong, et al.. (2022). 138MO Prognostic performance of Breast Cancer Index (BCI) in postmenopausal women with early-stage HR+ breast cancer in the TEAM trial. Annals of Oncology. 33. S602–S602. 5 indexed citations

Bartlett, John M.S., Dennis C. Sgroi, Kai Treuner, et al.. (2020). HER2 status and prediction of extended endocrine benefit with breast cancer index (BCI) in HR+ patients in the adjuvant tamoxifen: To offer more? (aTTom) trial.. Journal of Clinical Oncology. 38(15_suppl). 522–522. 2 indexed citations

Bartlett, John M.S., Dennis C. Sgroi, Kai Treuner, et al.. (2019). Breast Cancer Index and prediction of benefit from extended endocrine therapy in breast cancer patients treated in the Adjuvant Tamoxifen—To Offer More? (aTTom) trial. Annals of Oncology. 30(11). 1776–1783. 125 indexed citations

10.

Soifer, Harris S., Ranelle Salunga, José Javier García‐Ramírez, et al.. (2016). Abstract 1391: Gene expression profiling for cancer classification in circulating tumor cells. Cancer Research. 76(14_Supplement). 1391–1391. 1 indexed citations

11.

Singh, Veena, et al.. (2013). Analysis of the effect of various decalcification agents on the quantity and quality of nucleic acid (DNA and RNA) recovered from bone biopsies. Annals of Diagnostic Pathology. 17(4). 322–326. 85 indexed citations

12.

Salunga, Ranelle, Nicole C. Kesty, Mark G. Erlander, et al.. (2011). Prognostic utility of HOXB13 : IL17BR and molecular grade index in early-stage breast cancer patients from the Stockholm trial. British Journal of Cancer. 104(11). 1762–1769. 150 indexed citations

13.

Erlander, Mark G., Xiao-Jun Ma, Nicole C. Kesty, et al.. (2011). Performance and Clinical Evaluation of the 92-Gene Real-Time PCR Assay for Tumor Classification. Journal of Molecular Diagnostics. 13(5). 493–503. 73 indexed citations

14.

Jerevall, Piiha-Lotta, Xiaojuan Ma, Ranelle Salunga, et al.. (2009). Validation of Prognostic Utility of HOXB13:IL17BR and Molecular Grade Index in Early Stage Breast Cancer.. Cancer Research. 69(24_Supplement). 77–77. 4 indexed citations

15.

Ma, Xiaojun, Ranelle Salunga, Sonika Dahiya, et al.. (2008). A Five-Gene Molecular Grade Index and HOXB13:IL17BR Are Complementary Prognostic Factors in Early Stage Breast Cancer. Clinical Cancer Research. 14(9). 2601–2608. 227 indexed citations

16.

Ma, Xiaojun, R. D. Patel, Ranelle Salunga, et al.. (2006). Molecular classification of human cancers using a 92-gene real-time quantitative polymerase chain reaction assay.. PubMed. 130(4). 465–73. 156 indexed citations

17.

Kamme, Fredrik, Ranelle Salunga, Jingxue Yu, et al.. (2003). Single-Cell Microarray Analysis in Hippocampus CA1: Demonstration and Validation of Cellular Heterogeneity. Journal of Neuroscience. 23(9). 3607–3615. 238 indexed citations

18.

Ma, Xiaojun, Ranelle Salunga, Justin Gaudet, et al.. (2003). Gene expression profiles of human breast cancer progression. Proceedings of the National Academy of Sciences. 100(10). 5974–5979. 673 indexed citations breakdown →

19.

Bonaventure, Pascal, Hongqing Guo, Bin Tian, et al.. (2002). Nuclei and subnuclei gene expression profiling in mammalian brain. Brain Research. 943(1). 38–47. 124 indexed citations

20.

Luo, Lin, Ranelle Salunga, Hongqing Guo, et al.. (1999). Gene expression profiles of laser-captured adjacent neuronal subtypes. Nature Medicine. 5(1). 117–122. 605 indexed citations breakdown →

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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