Nima Niknejad

554 total citations
18 papers, 431 citations indexed

About

Nima Niknejad is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Nima Niknejad has authored 18 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Surgery. Recurrent topics in Nima Niknejad's work include Cancer, Lipids, and Metabolism (4 papers), Plant biochemistry and biosynthesis (4 papers) and Pediatric Hepatobiliary Diseases and Treatments (3 papers). Nima Niknejad is often cited by papers focused on Cancer, Lipids, and Metabolism (4 papers), Plant biochemistry and biosynthesis (4 papers) and Pediatric Hepatobiliary Diseases and Treatments (3 papers). Nima Niknejad collaborates with scholars based in Canada, United States and Norway. Nima Niknejad's co-authors include Jim Dimitroulakos, Hamed Jafar‐Nejad, Tsonwin Hai, Ashutosh Pandey, Glenwood D. Goss, Anna O'Brien, Jair Bar, Theodore J. Perkins, David J. Stewart and Johanne I. Weberpals and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Hepatology.

In The Last Decade

Nima Niknejad

17 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nima Niknejad Canada 14 273 115 90 84 58 18 431
Kin‐Fai Cheung Hong Kong 6 267 1.0× 120 1.0× 110 1.2× 63 0.8× 43 0.7× 7 394
Miaofeng Zhang China 9 421 1.5× 144 1.3× 155 1.7× 71 0.8× 61 1.1× 13 613
George Sai‐Wah Tsao Hong Kong 11 313 1.1× 129 1.1× 133 1.5× 53 0.6× 32 0.6× 22 520
Shengli Dong China 14 361 1.3× 227 2.0× 130 1.4× 59 0.7× 47 0.8× 40 580
Hexiao Wang China 10 346 1.3× 134 1.2× 139 1.5× 61 0.7× 56 1.0× 18 538
Kyusam Choi South Korea 7 223 0.8× 77 0.7× 84 0.9× 58 0.7× 34 0.6× 8 330
Zhu‐Ting Tong China 9 299 1.1× 148 1.3× 96 1.1× 31 0.4× 45 0.8× 10 443
Ryoichi Shimomura Japan 9 223 0.8× 151 1.3× 83 0.9× 59 0.7× 45 0.8× 15 364
Andrew R. Zaretsky Russia 10 237 0.9× 169 1.5× 118 1.3× 61 0.7× 76 1.3× 28 431
Wachiko Nakata Japan 9 251 0.9× 77 0.7× 130 1.4× 91 1.1× 35 0.6× 10 436

Countries citing papers authored by Nima Niknejad

Since Specialization
Citations

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

Fields of papers citing papers by Nima Niknejad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nima Niknejad

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

All Works

18 of 18 papers shown
1.
Zhang, Lingdi, Nima Niknejad, Jian Jian Li, et al.. (2025). Antisense oligonucleotide-mediated upregulation of Jag1 ameliorates liver disease phenotypes in a mouse model of Alagille syndrome. Molecular Therapy — Nucleic Acids. 36(4). 102694–102694.
2.
Niknejad, Nima, Neda Zarrin‐Khameh, Armand Soriano, et al.. (2023). ASO silencing of a glycosyltransferase, Poglut1, improves the liver phenotypes in mouse models of Alagille syndrome. Hepatology. 78(5). 1337–1351. 5 indexed citations
3.
Wu, Jianbo, Annie W. Shieh, Nima Niknejad, et al.. (2023). Disease modeling and gene correction of LGMDR21 iPSCs elucidates the role of POGLUT1 in skeletal muscle maintenance, regeneration, and the satellite cell niche. Molecular Therapy — Nucleic Acids. 33. 683–697. 4 indexed citations
4.
Pandey, Ashutosh, Nima Niknejad, & Hamed Jafar‐Nejad. (2020). Multifaceted regulation of Notch signaling by glycosylation. Glycobiology. 31(1). 8–28. 31 indexed citations
5.
Adams, Joshua, Kari A. Huppert, Eumenia Castro, et al.. (2019). Sox9 Is a Modifier of the Liver Disease Severity in a Mouse Model of Alagille Syndrome. Hepatology. 71(4). 1331–1349. 27 indexed citations
6.
Bar, Jair, Nima Niknejad, Theodore J. Perkins, et al.. (2016). Induction of Activating Transcription Factor 3 Is Associated with Cisplatin Responsiveness in Non–Small Cell Lung Carcinoma Cells. Neoplasia. 18(9). 525–535. 27 indexed citations
7.
Bar, Jair, Patrícia Moretto, Theodore J. Perkins, et al.. (2015). miR Profiling Identifies Cyclin-Dependent Kinase 6 Downregulation as a Potential Mechanism of Acquired Cisplatin Resistance in Non–Small-Cell Lung Carcinoma. Clinical Lung Cancer. 16(6). e121–e129. 23 indexed citations
8.
Hajnóczky, György, David T. Booth, György Csordás, et al.. (2014). Reliance of ER–mitochondrial calcium signaling on mitochondrial EF-hand Ca2+ binding proteins: Miros, MICUs, LETM1 and solute carriers. Current Opinion in Cell Biology. 29. 133–141. 41 indexed citations
9.
Niknejad, Nima, et al.. (2013). Lovastatin‐induced apoptosis is mediated by activating transcription factor 3 and enhanced in combination with salubrinal. International Journal of Cancer. 134(2). 268–279. 22 indexed citations
10.
11.
O'Brien, Anna, et al.. (2012). Enhancement of cisplatin cytotoxicity by disulfiram involves activating transcription factor 3.. PubMed. 32(7). 2679–88. 25 indexed citations
12.
Weberpals, Johanne I., et al.. (2011). The effect of the histone deacetylase inhibitor M344 on BRCA1 expression in breast and ovarian cancer cells. Cancer Cell International. 11(1). 29–29. 18 indexed citations
13.
Bœuf, Fabrice Le, Nima Niknejad, Jiahu Wang, et al.. (2011). Sensitivity of cervical carcinoma cells to vesicular stomatitis virus‐induced oncolysis: Potential role of human papilloma virus infection. International Journal of Cancer. 131(3). E204–15. 17 indexed citations
14.
Arnold, Danielle E., et al.. (2010). Lovastatin induces neuronal differentiation and apoptosis of embryonal carcinoma and neuroblastoma cells: enhanced differentiation and apoptosis in combination with dbcAMP. Molecular and Cellular Biochemistry. 345(1-2). 1–11. 9 indexed citations
15.
Niknejad, Nima, et al.. (2010). Cisplatin Induces Cytotoxicity through the Mitogen-Activated Protein Kinase Pathways ana Activating Transcription Factor 3. Neoplasia. 12(7). 527–538. 63 indexed citations
16.
Niknejad, Nima, et al.. (2007). Activation of the Integrated Stress Response Regulates Lovastatin-induced Apoptosis. Journal of Biological Chemistry. 282(41). 29748–29756. 35 indexed citations
17.
Li‐Pook‐Than, Jennifer, et al.. (2006). Relationship between RNA splicing and exon editing near intron junctions in wheat mitochondria. Physiologia Plantarum. 129(1). 23–33. 16 indexed citations
18.
Niknejad, Nima, et al.. (2003). Epidermal growth factor receptor-targeted therapy potentiates lovastatin-induced apoptosis in head and neck squamous cell carcinoma cells. Journal of Cancer Research and Clinical Oncology. 129(11). 631–641. 28 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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