Mahdi Rivandi

561 total citations
23 papers, 232 citations indexed

About

Mahdi Rivandi is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Mahdi Rivandi has authored 23 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Mahdi Rivandi's work include Cancer Cells and Metastasis (6 papers), Cancer Genomics and Diagnostics (6 papers) and Single-cell and spatial transcriptomics (3 papers). Mahdi Rivandi is often cited by papers focused on Cancer Cells and Metastasis (6 papers), Cancer Genomics and Diagnostics (6 papers) and Single-cell and spatial transcriptomics (3 papers). Mahdi Rivandi collaborates with scholars based in Iran, United Kingdom and Germany. Mahdi Rivandi's co-authors include Alireza Pasdar, Amir Tajbakhsh, Soheila Abedini, Amirhossein Sahebkar, Gordon A. Ferns, Amir Avan, Antoinette Hollestelle, John W.M. Martens, Mir Hadi Jazayeri and Soodabeh Shahidsales and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cellular Physiology and Journal of Cellular Biochemistry.

In The Last Decade

Mahdi Rivandi

23 papers receiving 230 citations

Peers

Mahdi Rivandi

ONCOL

GENET

PRM

Dongyue Ma China

Lakshmipathi Vadlakonda India

Adam K. Willson United States

Fanwu Kong China

Chrysovalantou Mihailidou Greece

Jan Morawiec Poland

Ivana Grbeša Croatia

Sergey D. Egranov United States

Dongyue Ma China

Mahdi Rivandi

187 ×1.4

80 ×0.8

29 ×0.6

ONCOL

21 ×0.7

GENET

21 ×0.8

PRM

Citations per year, relative to Mahdi Rivandi Mahdi Rivandi (= 1×) peers Dongyue Ma

Countries citing papers authored by Mahdi Rivandi

Since Specialization

Citations

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

Fields of papers citing papers by Mahdi Rivandi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahdi Rivandi

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

All Works

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20 of 20 papers shown

Rivandi, Mahdi, André Franken, Liwen Yang, et al.. (2024). Miniaturized protein profiling permits targeted signaling pathway analysis in individual circulating tumor cells to improve personalized treatment. Journal of Translational Medicine. 22(1). 848–848. 1 indexed citations

Reinhardt, F, Mahdi Rivandi, André Franken, et al.. (2023). DanioCTC: Analysis of Circulating Tumor Cells from Metastatic Breast Cancer Patients in Zebrafish Xenografts. Cancers. 15(22). 5411–5411. 2 indexed citations

Rivandi, Mahdi, Liwen Yang, Ellen Honisch, et al.. (2023). A workflow for the enrichment, the identification, and the isolation of non‐apoptotic single circulating tumor cells for RNA sequencing analysis. Cytometry Part A. 105(4). 242–251. 2 indexed citations

Nesaei, Abolfazl, Zari Naderi Ghale-Noie, Mahdi Rivandi, et al.. (2022). 2q35-rs13387042 variant and the risk of breast cancer: a case–control study. Molecular Biology Reports. 49(5). 3549–3557. 1 indexed citations

Yang, Liwen, Mahdi Rivandi, André Franken, et al.. (2022). Implementing microwell slides for detection and isolation of single circulating tumor cells from complex cell suspensions. Cytometry Part A. 101(12). 1057–1067. 3 indexed citations

Tajbakhsh, Amir, Mahdi Rivandi, Soheila Abedini, et al.. (2021). Evaluating the Association between CCR5delta32 Polymorphism (rs333) and the Risk of Breast Cancer in a Cohort of Iranian Population. Iranian Journal of Public Health. 50(3). 583–591. 3 indexed citations

Franken, André, Mahdi Rivandi, Liwen Yang, et al.. (2020). A Multiplex PCR-Based Next Generation Sequencing-Panel to Identify Mutations for Targeted Therapy in Breast Cancer Circulating Tumor Cells. Applied Sciences. 10(10). 3364–3364. 3 indexed citations

Rivandi, Mahdi, et al.. (2020). The Dilemma of TP53 Codon 72 Polymorphism (rs1042522) and Breast Cancer Risk: A Case-Control Study and Meta-Analysis in The Iranian Population.. SHILAP Revista de lepidopterología. 22(2). 185–192. 5 indexed citations

Yang, Liwen, et al.. (2020). Bioinformatic Identification of a Breast‐Specific Transcript Profile. PROTEOMICS - CLINICAL APPLICATIONS. 14(6). e2000007–e2000007. 2 indexed citations

10.

Tajbakhsh, Amir, Mahdi Rivandi, Soheila Abedini, Alireza Pasdar, & Amirhossein Sahebkar. (2019). Regulators and mechanisms of anoikis in triple-negative breast cancer (TNBC): A review. Critical Reviews in Oncology/Hematology. 140. 17–27. 46 indexed citations

11.

Rivandi, Mahdi, et al.. (2019). Association of caspase 8 promoter variants and haplotypes with the risk of breast cancer and its molecular profile in an Iranian population: A case‐control study. Journal of Cellular Biochemistry. 120(10). 16435–16444. 6 indexed citations

12.

Tajbakhsh, Amir, Mahdi Rivandi, Soheila Abedini, et al.. (2018). Significant association of TOX3/LOC643714 locus-rs3803662 and breast cancer risk in a cohort of Iranian population. Molecular Biology Reports. 46(1). 805–811. 7 indexed citations

13.

Rivandi, Mahdi, John W.M. Martens, & Antoinette Hollestelle. (2018). Elucidating the Underlying Functional Mechanisms of Breast Cancer Susceptibility Through Post-GWAS Analyses. Frontiers in Genetics. 9. 280–280. 13 indexed citations

14.

Rivandi, Mahdi, et al.. (2018). Polymorphisms in non-coding RNAs and risk of colorectal cancer: A systematic review and meta-analysis. Critical Reviews in Oncology/Hematology. 132. 100–110. 23 indexed citations

15.

Rivandi, Mahdi, Maryam Karimian, Amirhossein Sahebkar, et al.. (2018). Association of genetic polymorphisms of PON1 and CETP with the presence of metabolic syndrome; the effects of genotypes on their serum activity and concentrations. Egyptian Journal of Medical Human Genetics. 19(1). 43–48. 6 indexed citations

16.

Rivandi, Mahdi, et al.. (2018). The prognostic and therapeutic values of long noncoding RNA PANDAR in colorectal cancer. Journal of Cellular Physiology. 234(2). 1230–1236. 21 indexed citations

17.

Tajbakhsh, Amir, et al.. (2017). TOX3 Gene polymorphisms and breast cancer; effects and implications of the variations: review article. SHILAP Revista de lepidopterología. 1 indexed citations

18.

Tajbakhsh, Amir, et al.. (2017). Paraoxonase 1 (PON1) and stroke; the dilemma of genetic variation. Clinical Biochemistry. 50(18). 1298–1305. 17 indexed citations

19.

Pasdar, Alireza, Khadijeh Jamialahmadi, Amir Avan, et al.. (2016). Association of heat shock protein70-2 (HSP70-2) gene polymorphism with obesity. Annals of Human Biology. 43(6). 542–546. 15 indexed citations

20.

Tajbakhsh, Amir, et al.. (2015). TOX3 and the risk of breast cancer; an overview. 1(1-2). 5–6. 4 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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