Maryam Bakhtiyari

437 total citations
9 papers, 230 citations indexed

About

Maryam Bakhtiyari is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Maryam Bakhtiyari has authored 9 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Maryam Bakhtiyari's work include Cancer, Hypoxia, and Metabolism (3 papers), Cancer Cells and Metastasis (3 papers) and Acute Myeloid Leukemia Research (2 papers). Maryam Bakhtiyari is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), Cancer Cells and Metastasis (3 papers) and Acute Myeloid Leukemia Research (2 papers). Maryam Bakhtiyari collaborates with scholars based in Iran, India and Germany. Maryam Bakhtiyari's co-authors include Hamidreza Zalpoor, Mohsen Nabi‐Afjadi, Abdullatif Akbari, Nima Rezaei, Vahideh Tarhriz, Sara Razi, Majid Pornour, Mazdak Ganjalıkhani-Hakemi, Narges Ebrahimi and Abbas Rahdar and has published in prestigious journals such as Biomedicine & Pharmacotherapy, Oral Oncology and Cell Communication and Signaling.

In The Last Decade

Maryam Bakhtiyari

9 papers receiving 229 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maryam Bakhtiyari Iran 8 107 78 60 37 27 9 230
Shachar Raz Israel 7 206 1.9× 99 1.3× 78 1.3× 19 0.5× 28 1.0× 7 311
P. Godwin Ireland 4 173 1.6× 88 1.1× 97 1.6× 40 1.1× 16 0.6× 6 330
Yuwen Xue China 12 207 1.9× 74 0.9× 75 1.3× 52 1.4× 12 0.4× 16 344
Ge Yan China 12 221 2.1× 76 1.0× 50 0.8× 38 1.0× 14 0.5× 18 350
Yalei Wen China 8 170 1.6× 97 1.2× 40 0.7× 39 1.1× 17 0.6× 16 283
Lingzhang Meng China 11 181 1.7× 73 0.9× 96 1.6× 83 2.2× 24 0.9× 42 358
Tulasigeri M. Totiger United States 10 164 1.5× 87 1.1× 28 0.5× 41 1.1× 55 2.0× 22 318
Sahar Khorasani Iran 7 122 1.1× 72 0.9× 44 0.7× 66 1.8× 14 0.5× 8 294
Elaine Lai‐Han Leung Macao 7 140 1.3× 63 0.8× 39 0.7× 38 1.0× 11 0.4× 9 305
Joana Márquez Spain 13 174 1.6× 115 1.5× 83 1.4× 70 1.9× 8 0.3× 26 373

Countries citing papers authored by Maryam Bakhtiyari

Since Specialization
Citations

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

Fields of papers citing papers by Maryam Bakhtiyari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryam Bakhtiyari

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

All Works

9 of 9 papers shown
2.
Bakhtiyari, Maryam, et al.. (2023). The potential role of COVID-19 in progression, chemo-resistance, and tumor recurrence of oral squamous cell carcinoma (OSCC). Oral Oncology. 144. 106483–106483. 7 indexed citations
3.
Bakhtiyari, Maryam, et al.. (2023). CD147 and cyclophilin A: a promising potential targeted therapy for COVID-19 and associated cancer progression and chemo-resistance. Infectious Agents and Cancer. 18(1). 20–20. 6 indexed citations
4.
Bakhtiyari, Maryam, et al.. (2023). The role of bone marrow microenvironment (BMM) cells in acute myeloid leukemia (AML) progression: immune checkpoints, metabolic checkpoints, and signaling pathways. Cell Communication and Signaling. 21(1). 252–252. 36 indexed citations
5.
Ebrahimi, Narges, Abdullatif Akbari, Maryam Bakhtiyari, et al.. (2023). Promising applications of nanotechnology in inhibiting chemo-resistance in solid tumors by targeting epithelial-mesenchymal transition (EMT). Biomedicine & Pharmacotherapy. 170. 115973–115973. 32 indexed citations
6.
Razi, Sara, et al.. (2023). The role of tumor microenvironment on cancer stem cell fate in solid tumors. Cell Communication and Signaling. 21(1). 143–143. 28 indexed citations
7.
Zalpoor, Hamidreza, et al.. (2022). Potential role of autophagy induced by FLT3-ITD and acid ceramidase in acute myeloid leukemia chemo-resistance: new insights. Cell Communication and Signaling. 20(1). 172–172. 21 indexed citations
8.
Zalpoor, Hamidreza, et al.. (2022). Hesperetin as an anti-SARS-CoV-2 agent can inhibit COVID-19-associated cancer progression by suppressing intracellular signaling pathways. Inflammopharmacology. 30(5). 1533–1539. 35 indexed citations
9.
Zalpoor, Hamidreza, et al.. (2022). The roles of metabolic profiles and intracellular signaling pathways of tumor microenvironment cells in angiogenesis of solid tumors. Cell Communication and Signaling. 20(1). 186–186. 43 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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