Rena Elkin

457 total citations
18 papers, 240 citations indexed

About

Rena Elkin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rena Elkin has authored 18 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rena Elkin's work include Cerebrospinal fluid and hydrocephalus (6 papers), Bioinformatics and Genomic Networks (5 papers) and Ferroptosis and cancer prognosis (4 papers). Rena Elkin is often cited by papers focused on Cerebrospinal fluid and hydrocephalus (6 papers), Bioinformatics and Genomic Networks (5 papers) and Ferroptosis and cancer prognosis (4 papers). Rena Elkin collaborates with scholars based in United States, United Kingdom and Somalia. Rena Elkin's co-authors include Allen Tannenbaum, Helene Benveniste, Hedok Lee, Maiken Nedergaard, Saad Nadeem, Sunil Koundal, Joanna M. Wardlaw, Yi Gao, Vadim Ratner and Simon Sanggaard and has published in prestigious journals such as Blood, Bioinformatics and NeuroImage.

In The Last Decade

Rena Elkin

15 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rena Elkin United States	7	160	96	65	47	42	18	240
Wenyi Yang China	8	131 0.8×	101 1.1×	37 0.6×	73 1.6×	67 1.6×	13	318
Anna Jeppsson United Kingdom	10	257 1.6×	240 2.5×	100 1.5×	17 0.4×	27 0.6×	12	347
Christina Echagarruga United States	6	91 0.6×	44 0.5×	26 0.4×	73 1.6×	14 0.3×	6	338
Jin Cui United States	9	99 0.6×	47 0.5×	52 0.8×	38 0.8×	10 0.2×	23	317
Jin‐Hui Yoon South Korea	10	83 0.5×	63 0.7×	22 0.3×	25 0.5×	26 0.6×	12	315
Ruth Roales‐Buján Spain	8	210 1.3×	51 0.5×	117 1.8×	17 0.4×	26 0.6×	11	283
R. M. Bucknall United Kingdom	8	261 1.6×	131 1.4×	193 3.0×	53 1.1×	36 0.9×	9	327
Sebastian Brandner Germany	11	105 0.7×	155 1.6×	43 0.7×	61 1.3×	10 0.2×	46	434
Shyi-Jou Chen Taiwan	8	105 0.7×	55 0.6×	44 0.7×	7 0.1×	15 0.4×	14	293
Corinne A. Auger United States	7	69 0.4×	120 1.3×	27 0.4×	26 0.6×	18 0.4×	12	205

Countries citing papers authored by Rena Elkin

Since Specialization

Citations

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

Fields of papers citing papers by Rena Elkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rena Elkin

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

All Works

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18 of 18 papers shown

Oh, Jung Hun, et al.. (2025). ORCO: Ollivier-Ricci Curvature-Omics—an unsupervised method for analyzing robustness in biological systems. Bioinformatics. 41(3).

Oh, Jung Hun, et al.. (2025). Biological correlates associated with high-risk breast cancer patients identified using a computational method. npj Breast Cancer. 11(1). 8–8.

Oh, Jung Hun, Gabrielle Rizzuto, Rena Elkin, et al.. (2025). Pregnancy-specific glycoproteins as potential drug targets for female lung adenocarcinoma patients. Briefings in Functional Genomics. 24.

Elkin, Rena, Jung Hun Oh, Filemon S. Dela Cruz, et al.. (2024). Dynamic network curvature analysis of gene expression reveals novel potential therapeutic targets in sarcoma. Scientific Reports. 14(1). 2 indexed citations

Elkin, Rena, et al.. (2024). Multi-scale geometric network analysis identifies melanoma immunotherapy response gene modules. Scientific Reports. 14(1). 6082–6082. 4 indexed citations

Koundal, Sunil, Xinan Chen, Hedok Lee, et al.. (2024). Divergent brain solute clearance in rat models of cerebral amyloid angiopathy and Alzheimer’s disease. iScience. 27(12). 111463–111463. 2 indexed citations

Oh, Jung Hun, et al.. (2023). Geometric graph neural networks on multi-omics data to predict cancer survival outcomes. Computers in Biology and Medicine. 163. 107117–107117. 14 indexed citations

Maclachlan, Kylee, Rena Elkin, Larry Norton, et al.. (2023). Gene interaction network analysis in multiple myeloma detects complex immune dysregulation associated with shorter survival. Blood Cancer Journal. 13(1). 175–175. 2 indexed citations

Chen, Xinan, Anh Phong Tran, Rena Elkin, Helene Benveniste, & Allen Tannenbaum. (2023). Visualizing Fluid Flows via Regularized Optimal Mass Transport with Applications to Neuroscience. Journal of Scientific Computing. 97(2). 3 indexed citations

10.

Maclachlan, Kylee, Rena Elkin, Saad Z. Usmani, et al.. (2022). Geometric Network Analysis Defines Poor-Prognosis Subtypes in Multiple Myeloma. Blood. 140(Supplement 1). 9991–9992. 1 indexed citations

11.

Elkin, Rena, Jung Hun Oh, Ying L. Liu, et al.. (2021). Geometric network analysis provides prognostic information in patients with high grade serous carcinoma of the ovary treated with immune checkpoint inhibitors. npj Genomic Medicine. 6(1). 99–99. 19 indexed citations

12.

Elkin, Rena, et al.. (2020). A Vectorial Approach to Unbalanced Optimal Mass Transport. IEEE Access. 8. 209224–209231. 1 indexed citations

13.

Koundal, Sunil, Rena Elkin, Saad Nadeem, et al.. (2020). Optimal Mass Transport with Lagrangian Workflow Reveals Advective and Diffusion Driven Solute Transport in the Glymphatic System. Scientific Reports. 10(1). 1990–1990. 88 indexed citations

14.

Koundal, Sunil, Rena Elkin, Saad Nadeem, et al.. (2020). Publisher Correction: Optimal Mass Transport with Lagrangian Workflow Reveals Advective and Diffusion Driven Solute Transport in the Glymphatic System. Scientific Reports. 10(1). 3934–3934. 7 indexed citations

15.

Benveniste, Helene, Rena Elkin, Paul M. Heerdt, et al.. (2020). The glymphatic system and its role in cerebral homeostasis. Journal of Applied Physiology. 129(6). 1330–1340. 24 indexed citations

16.

Elkin, Rena, Saad Nadeem, Eve LoCastro, et al.. (2019). Optimal mass transport kinetic modeling for head and neck DCE‐MRI: Initial analysis. Magnetic Resonance in Medicine. 82(6). 2314–2325. 2 indexed citations

17.

Elkin, Rena, Saad Nadeem, Eldad Haber, et al.. (2018). GlymphVIS: Visualizing Glymphatic Transport Pathways Using Regularized Optimal Transport. Lecture notes in computer science. 11070. 844–852. 18 indexed citations

18.

Ratner, Vadim, Yi Gao, Hedok Lee, et al.. (2017). Cerebrospinal and interstitial fluid transport via the glymphatic pathway modeled by optimal mass transport. NeuroImage. 152. 530–537. 53 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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