S. Rivera

637 total citations · 1 hit paper
10 papers, 383 citations indexed

About

S. Rivera is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, S. Rivera has authored 10 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in S. Rivera's work include Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (3 papers) and Cancer-related molecular mechanisms research (2 papers). S. Rivera is often cited by papers focused on Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (3 papers) and Cancer-related molecular mechanisms research (2 papers). S. Rivera collaborates with scholars based in Australia, United States and France. S. Rivera's co-authors include Victor G. Corces, Masami Ando‐Kuri, M. Jordan Rowley, Yijun Ruan, Ping Wang, Michael H. Nichols, Xiaowen Lyu, Karen Hermetz, Andreas Behren and Yang Liao and has published in prestigious journals such as Nucleic Acids Research, Molecular Cell and Cancer Research.

In The Last Decade

S. Rivera

8 papers receiving 382 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.

Evolutionarily Conserved Principles Predict 3D Chromatin Organization

2017 360 citations M. Jordan Rowley, Michael H. Nichols et al. Molecular Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Rivera Australia	3	366	167	45	16	13	10	383
Elena Slobodyanyuk United States	3	551 1.5×	189 1.1×	53 1.2×	19 1.2×	16 1.2×	4	578
Sedona E. Murphy United States	8	560 1.5×	157 0.9×	56 1.2×	37 2.3×	13 1.0×	9	590
Carlos Martí‐Gómez United States	7	189 0.5×	113 0.7×	76 1.7×	20 1.3×	7 0.5×	14	318
Gergely Tihanyi United States	5	303 0.8×	48 0.3×	36 0.8×	16 1.0×	9 0.7×	7	324
Kian Hong Kock United States	3	218 0.6×	66 0.4×	30 0.7×	23 1.4×	18 1.4×	3	259
Haizhen Long China	7	389 1.1×	68 0.4×	34 0.8×	18 1.1×	22 1.7×	10	411
Meizhen Zheng China	6	271 0.7×	91 0.5×	32 0.7×	26 1.6×	9 0.7×	10	295
Christopher J. Wedeles Canada	7	252 0.7×	96 0.6×	19 0.4×	29 1.8×	17 1.3×	9	314
Valentina Snetkova United States	9	237 0.6×	57 0.3×	41 0.9×	40 2.5×	28 2.2×	9	271
Olivia Mackenzie United States	4	131 0.4×	65 0.4×	27 0.6×	29 1.8×	15 1.2×	6	160

Countries citing papers authored by S. Rivera

Since Specialization

Citations

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

Fields of papers citing papers by S. Rivera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Rivera

This figure shows the co-authorship network connecting the top 25 collaborators of S. Rivera. A scholar is included among the top collaborators of S. Rivera 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 S. Rivera. S. Rivera 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:

10 of 10 papers shown

1.

Djajawi, Tirta M., et al.. (2025). CRISPR screens define unified hallmarks of cancer cell-autonomous immune evasion. Cell Reports. 45(1). 116738–116738. 1 indexed citations

2.

Todorovski, Izabela, Zheng Fan, Isabella Y. Kong, et al.. (2024). RNA kinetics influence the response to transcriptional perturbation in leukaemia cell lines. NAR Cancer. 6(4). zcae039–zcae039. 1 indexed citations

3.

Rivera, S., Juliet D. French, Mainá Bitar, et al.. (2024). GWAS and 3D chromatin mapping identifies multicancer risk genes associated with hormone-dependent cancers. PLoS Genetics. 20(11). e1011490–e1011490.

4.

Djajawi, Tirta M., Lizzy Pijpers, David Chisanga, et al.. (2024). PRMT1 acts as a suppressor of MHC-I and anti-tumor immunity. Cell Reports. 43(3). 113831–113831. 13 indexed citations

5.

Bitar, Mainá, S. Rivera, Wei Shi, et al.. (2023). Redefining normal breast cell populations using long noncoding RNAs. Nucleic Acids Research. 51(12). 6389–6410. 4 indexed citations

6.

Guihard, S., et al.. (2020). PH-0598: Normo versus hypofractionated whole breast irradiation: Are real life data what we expect?. Radiotherapy and Oncology. 152. S336–S337. 1 indexed citations

7.

Ando‐Kuri, Masami, S. Rivera, M. Jordan Rowley, & Victor G. Corces. (2018). Analysis of Chromatin Interactions Mediated by Specific Architectural Proteins in Drosophila Cells. Methods in molecular biology. 1766. 239–256. 2 indexed citations

8.

Rowley, M. Jordan, Michael H. Nichols, Xiaowen Lyu, et al.. (2017). Evolutionarily Conserved Principles Predict 3D Chromatin Organization. Molecular Cell. 67(5). 837–852.e7. 360 indexed citations breakdown →

9.

Tlemsani, Camille, C. Balleyguier, Mahasti Saghatchian, et al.. (2016). Abstract P3-10-03: Receipt of breast cancer risk assessment and personalized prevention information among women diagnosed with a benign breast lesion (BBL) in a one stop breast unit: A prospective assessment. Cancer Research. 76(4_Supplement). P3–10.

10.

Campo, Eleonor Rivin del, et al.. (2015). Training for RTTs in image verification in breast cancer: from portal imaging to IGRT. Radiotherapy and Oncology. 115. VII–VIII. 1 indexed citations

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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