Farimah Hadjilooei

762 total citations · 1 hit paper
15 papers, 496 citations indexed

About

Farimah Hadjilooei is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Farimah Hadjilooei has authored 15 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Surgery. Recurrent topics in Farimah Hadjilooei's work include COVID-19 and healthcare impacts (5 papers), COVID-19 diagnosis using AI (4 papers) and COVID-19 epidemiological studies (3 papers). Farimah Hadjilooei is often cited by papers focused on COVID-19 and healthcare impacts (5 papers), COVID-19 diagnosis using AI (4 papers) and COVID-19 epidemiological studies (3 papers). Farimah Hadjilooei collaborates with scholars based in Iran, United States and Australia. Farimah Hadjilooei's co-authors include Pedram Lalbakhsh, Saeed Roshani, Sobhan Roshani, Mohammad Jamshidi, Ali Lalbakhsh, Jakub Talla, Zdeněk Peroutka, Alireza Jamshidi, Nima Bayat-Makou and Hamed Hashemi‐Dezaki and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Cancer Immunology Immunotherapy.

In The Last Decade

Farimah Hadjilooei

15 papers receiving 481 citations

Hit Papers

align trajectories sort by overperformance

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.

Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment

2020 369 citations Mohammad Jamshidi, Ali Lalbakhsh et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Farimah Hadjilooei Iran	7	259	170	63	57	49	15	496
Holly Wiberg United States	9	123 0.5×	169 1.0×	48 0.8×	74 1.3×	42 0.9×	11	474
Yazeed Zoabi Israel	7	203 0.8×	147 0.9×	18 0.3×	21 0.4×	57 1.2×	11	425
Mubarak Taiwo Mustapha Cyprus	11	145 0.6×	134 0.8×	19 0.3×	47 0.8×	37 0.8×	22	412
Krishnaraj Chadaga India	18	274 1.1×	297 1.7×	21 0.3×	80 1.4×	104 2.1×	57	823
P Swetha India	7	159 0.6×	157 0.9×	17 0.3×	18 0.3×	63 1.3×	38	413
Cathal McCague United Kingdom	6	467 1.8×	269 1.6×	25 0.4×	213 3.7×	27 0.6×	11	737
Abolfazl Zargari Khuzani United States	6	400 1.5×	296 1.7×	23 0.4×	55 1.0×	22 0.4×	13	503
Morteza Heidari United States	10	562 2.2×	429 2.5×	52 0.8×	66 1.2×	27 0.6×	35	759
Meiyu Duan China	11	144 0.6×	137 0.8×	24 0.4×	21 0.4×	34 0.7×	42	482
Alireza Jamshidi Iran	6	248 1.0×	181 1.1×	6 0.1×	76 1.3×	49 1.0×	8	539

Countries citing papers authored by Farimah Hadjilooei

Since Specialization

Citations

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

Fields of papers citing papers by Farimah Hadjilooei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farimah Hadjilooei

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

All Works

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15 of 15 papers shown

Mahmoodzadeh, Habibollah, et al.. (2024). Thoracic duct identification with indocyanine green fluorescence to prevent chyle leaks during minimally invasive esophagectomy. Cancer Reports. 7(4). e2053–e2053. 2 indexed citations

Hadjilooei, Farimah, et al.. (2024). Investigation of Molecular Mechanisms of S-1, Docetaxel and Cisplatin in Gastric Cancer with a History of Helicobacter Pylori Infection. Molecular Biotechnology. 66(5). 1303–1313. 1 indexed citations

Arabi, Maryam, et al.. (2023). Evaluation of miRNA-derived Extracellular Vesicles as Biomarkers in Ovarian Cancer Stem Cells. 0(0). 0–0. 1 indexed citations

Jamshidi, Mohammad, Sobhan Roshani, Fatemeh Daneshfar, et al.. (2022). Hybrid Deep Learning Techniques for Predicting Complex Phenomena: A Review on COVID-19. SHILAP Revista de lepidopterología. 3(2). 416–433. 20 indexed citations

Jamshidi, Mohammad, Sobhan Roshani, Jakub Talla, et al.. (2022). A Review of the Potential of Artificial Intelligence Approaches to Forecasting COVID-19 Spreading. SHILAP Revista de lepidopterología. 3(2). 493–511. 18 indexed citations

Mahmoodzadeh, Habibollah, et al.. (2022). Protocol for Dealing with Upper Gastrointestinal Cancers in the COVID-19 Outbreak in Cancer Institute of Tehran University of Medical Sciences. 2 indexed citations

Mahmoodzadeh, Habibollah, et al.. (2021). An Expert Opinion Regarding the Management of Lower Gastrointestinal Cancers During COVID-19 Outbreak in Iran: A Brief Report. SHILAP Revista de lepidopterología. 2 indexed citations

Talebi, Mohsen, et al.. (2021). Remote controlling of CAR-T cells and toxicity management: Molecular switches and next generation CARs. Translational Oncology. 14(6). 101070–101070. 34 indexed citations

Khodayari, Hamid, Saeed Khodayari, Farimah Hadjilooei, et al.. (2021). Stem cells-derived natural killer cells for cancer immunotherapy: current protocols, feasibility, and benefits of ex vivo generated natural killer cells in treatment of advanced solid tumors. Cancer Immunology Immunotherapy. 70(12). 3369–3395. 7 indexed citations

10.

Jamshidi, Mohammad, Sobhan Roshani, Jakub Talla, et al.. (2021). A Review on Potentials of Artificial Intelligence Approaches to Forecasting COVID-19 Spreading. Research Square. 3 indexed citations

11.

Omranipour, Ramesh, et al.. (2020). Recommendations for breast surgical care during COVID-19 outbreak in Iran: setting priorities of management. SHILAP Revista de lepidopterología. 2 indexed citations

12.

Mahmoodzadeh, Habibollah, et al.. (2020). Management policies of breast cancer surgery, chemotherapy and radiotherapy during COVID-19 outbreak in Iran. SHILAP Revista de lepidopterología. 1 indexed citations

13.

Jamshidi, Mohammad, Ali Lalbakhsh, Jakub Talla, et al.. (2020). Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment. IEEE Access. 8. 109581–109595. 369 indexed citations breakdown →

14.

Hadjilooei, Farimah, et al.. (2020). New Policy and Regulations for a Radiology-Oncology Center During the COVID-19 Outbreak in Tehran, Iran. Advances in Radiation Oncology. 5(4). 550–557. 10 indexed citations

15.

Shirkhoda, Mohammad, et al.. (2018). Immunotherapy a New Hope for Cancer Treatment: A Review. Pakistan Journal of Biological Sciences. 21(3). 135–150. 24 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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