Ivelise Rijo

2.5k total citations
7 papers, 126 citations indexed

About

Ivelise Rijo is a scholar working on Pathology and Forensic Medicine, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ivelise Rijo has authored 7 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 3 papers in Genetics and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ivelise Rijo's work include Lymphoma Diagnosis and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Cancer Genomics and Diagnostics (2 papers). Ivelise Rijo is often cited by papers focused on Lymphoma Diagnosis and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Cancer Genomics and Diagnostics (2 papers). Ivelise Rijo collaborates with scholars based in United States. Ivelise Rijo's co-authors include Christine Moung, Khédoudja Nafa, Andrew D. Zelenetz, Ariela Noy, Paulo Salazar, Maria E. Arcila, Chaitanya Divgi, Jae H. Park, Mikhail Roshal and Ahmet Zehir and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Ivelise Rijo

7 papers receiving 126 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ivelise Rijo United States	5	62	45	38	38	32	7	126
Karol Pál Czechia	9	67 1.1×	38 0.8×	63 1.7×	43 1.1×	27 0.8×	19	152
Joel Wight Australia	8	104 1.7×	58 1.3×	43 1.1×	21 0.6×	24 0.8×	22	157
Barbara Mantoan Italy	7	106 1.7×	71 1.6×	53 1.4×	31 0.8×	28 0.9×	13	155
Jesse Shustik Canada	5	114 1.8×	78 1.7×	50 1.3×	16 0.4×	26 0.8×	11	142
E. Im United States	6	44 0.7×	134 3.0×	26 0.7×	53 1.4×	48 1.5×	17	194
Anupkumar George Australia	4	100 1.6×	65 1.4×	54 1.4×	22 0.6×	19 0.6×	6	143
Takayasu Kato Japan	6	94 1.5×	45 1.0×	44 1.2×	21 0.6×	32 1.0×	25	159
Bevan Tandon United States	5	52 0.8×	22 0.5×	56 1.5×	12 0.3×	47 1.5×	6	131
C. Bastard France	2	142 2.3×	85 1.9×	69 1.8×	18 0.5×	56 1.8×	5	179
Allison Barraclough Australia	8	106 1.7×	87 1.9×	30 0.8×	21 0.6×	19 0.6×	29	152

Countries citing papers authored by Ivelise Rijo

Since Specialization

Citations

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

Fields of papers citing papers by Ivelise Rijo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivelise Rijo

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

All Works

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7 of 7 papers shown

Vanderbilt, Chad, Soo‐Ryum Yang, Subhiksha Nandakumar, et al.. (2025). Maximizing the clinical utility and performance of cytology samples for comprehensive genetic profiling. Nature Communications. 16(1). 116–116. 2 indexed citations

Dermawan, Josephine K., Abhinita Mohanty, Ivelise Rijo, et al.. (2023). Distinct IDH1/2-associated Methylation Profile and Enrichment of TP53 and TERT Mutations Distinguish Dedifferentiated Chondrosarcoma from Conventional Chondrosarcoma. Cancer Research Communications. 3(3). 431–443. 13 indexed citations

Boroujeni, Amir Momeni, Paulo Salazar, Tao Zheng, et al.. (2020). Rapid EGFR Mutation Detection Using the Idylla Platform. Journal of Molecular Diagnostics. 23(3). 310–322. 19 indexed citations

Zelenetz, Andrew D., Leslie Popplewell, Ariela Noy, et al.. (2019). Phase 2 Study of Iodine-131 Tositumomab Plus Chemotherapy in Patients With Previously Untreated Mantle-Cell Lymphoma. Clinical Lymphoma Myeloma & Leukemia. 20(11). 749–756.e1. 2 indexed citations

Arcila, Maria E., Wayne Yu, Mustafa Syed, et al.. (2018). Establishment of Immunoglobulin Heavy (IGH) Chain Clonality Testing by Next-Generation Sequencing for Routine Characterization of B-Cell and Plasma Cell Neoplasms. Journal of Molecular Diagnostics. 21(2). 330–342. 53 indexed citations

Palomba, M. Lia, Carly G.K. Ziegler, Jesse Cotari, et al.. (2014). Multidimensional Single-Cell Analysis of BCR Signaling Reveals Proximal Activation Defect As a Hallmark of Chronic Lymphocytic Leukemia B Cells. PLoS ONE. 9(1). e79987–e79987. 10 indexed citations

Zelenetz, Andrew D., Ariela Noy, Neeta Pandit‐Taskar, et al.. (2006). Sequential radioimmunotherapy with tositumomab/Iodine I131 tositumomab followed by CHOP for mantle cell lymphoma demonstrates RIT can induce molecular remissions. Journal of Clinical Oncology. 24(18_suppl). 7560–7560. 27 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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