Ali Dadbin

430 total citations
10 papers, 355 citations indexed

About

Ali Dadbin is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Ali Dadbin has authored 10 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Ali Dadbin's work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Adipose Tissue and Metabolism (3 papers) and Cancer Cells and Metastasis (3 papers). Ali Dadbin is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (3 papers), Adipose Tissue and Metabolism (3 papers) and Cancer Cells and Metastasis (3 papers). Ali Dadbin collaborates with scholars based in United States, Italy and Singapore. Ali Dadbin's co-authors include Mikhail G. Kolonin, Alexes C. Daquinag, John Cullum, Felipe Amaya‐Manzanares, Fernando Luís Esteban Florez, Naoto T. Ueno, Goran Biuković, Daslav Hranueli, Chieh Tseng and Edmund Chiong and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and Molecular Microbiology.

In The Last Decade

Ali Dadbin

10 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ali Dadbin United States	8	192	98	73	68	61	10	355
Dinesh Babu Uthaya Kumar United States	10	221 1.2×	58 0.6×	93 1.3×	65 1.0×	57 0.9×	21	411
Man Wu China	10	233 1.2×	145 1.5×	55 0.8×	86 1.3×	27 0.4×	16	438
Zhao-na Yang China	8	255 1.3×	85 0.9×	89 1.2×	98 1.4×	28 0.5×	8	460
Zhihong Chen China	10	206 1.1×	79 0.8×	95 1.3×	61 0.9×	40 0.7×	27	361
Huiping Guo China	10	320 1.7×	118 1.2×	87 1.2×	28 0.4×	19 0.3×	22	480
Hafedh Dekhil Canada	10	212 1.1×	86 0.9×	37 0.5×	43 0.6×	26 0.4×	13	387
Hirosumi Tamura Japan	8	98 0.5×	94 1.0×	56 0.8×	92 1.4×	25 0.4×	12	298
Seong Whan Jeong South Korea	9	344 1.8×	128 1.3×	71 1.0×	49 0.7×	32 0.5×	12	439
Xiufeng Jiang China	11	188 1.0×	84 0.9×	55 0.8×	31 0.5×	22 0.4×	27	397
Zhen Cai China	7	475 2.5×	81 0.8×	149 2.0×	57 0.8×	32 0.5×	9	593

Countries citing papers authored by Ali Dadbin

Since Specialization

Citations

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

Fields of papers citing papers by Ali Dadbin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Dadbin

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Dadbin, Ali, et al.. (2020). Development of lung metastases in mouse models of tongue squamous cell carcinoma. Oral Diseases. 27(3). 494–505. 7 indexed citations

2.

Daquinag, Alexes C., Ali Dadbin, Brad Snyder, et al.. (2017). Non-glycanated Decorin Is a Drug Target on Human Adipose Stromal Cells. Molecular Therapy — Oncolytics. 6. 1–9. 28 indexed citations

3.

Bartholomeusz, Chandra, Xuemei Xie, Kimie Kondo, et al.. (2015). MEK Inhibitor Selumetinib (AZD6244; ARRY-142886) Prevents Lung Metastasis in a Triple-Negative Breast Cancer Xenograft Model. Molecular Cancer Therapeutics. 14(12). 2773–2781. 59 indexed citations

4.

Daquinag, Alexes C., Chieh Tseng, Yan Zhang, et al.. (2015). Targeted Proapoptotic Peptides Depleting Adipose Stromal Cells Inhibit Tumor Growth. Molecular Therapy. 24(1). 34–40. 35 indexed citations

5.

Zhang, Yan, Aleksandra Nowicka, Travis Solley, et al.. (2015). Stromal Cells Derived from Visceral and Obese Adipose Tissue Promote Growth of Ovarian Cancers. PLoS ONE. 10(8). e0136361–e0136361. 37 indexed citations

6.

Daquinag, Alexes C., Chieh Tseng, Ahmad Salameh, et al.. (2014). Depletion of white adipocyte progenitors induces beige adipocyte differentiation and suppresses obesity development. Cell Death and Differentiation. 22(2). 351–363. 55 indexed citations

7.

Chiong, Edmund, I-Ling Lee, Ali Dadbin, et al.. (2011). Effects of mTOR Inhibitor Everolimus (RAD001) on Bladder Cancer Cells. Clinical Cancer Research. 17(9). 2863–2873. 58 indexed citations

8.

Chiong, Edmund, I-Ling Lee, Ali Dadbin, et al.. (2009). EFFECTS OF MTOR INHIBITOR EVEROLIMUS (RAD001) ON BLADDER CANCER CELLS. The Journal of Urology. 181(4S). 406–406. 5 indexed citations

9.

Chiong, Edmund, et al.. (2009). The Use of Short Tandem Repeat Profiling to Characterize Human Bladder Cancer Cell Lines. The Journal of Urology. 181(6). 2737–2748. 11 indexed citations

10.

Biuković, Goran, et al.. (1998). Recombination between the linear plasmid pPZG101 and the linear chromosome of Streptomyces rimosus can lead to exchange of ends. Molecular Microbiology. 28(6). 1165–1176. 60 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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