Jack Mottahedeh

2.4k total citations · 1 hit paper
14 papers, 1.1k citations indexed

About

Jack Mottahedeh is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Jack Mottahedeh has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Neurology. Recurrent topics in Jack Mottahedeh's work include Glioma Diagnosis and Treatment (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Jack Mottahedeh is often cited by papers focused on Glioma Diagnosis and Treatment (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Jack Mottahedeh collaborates with scholars based in United States, Japan and Israel. Jack Mottahedeh's co-authors include Harley I. Kornblum, Andres A. Paucar, Jonathan P. Saxe, April D. Pyle, Hong Wu, Janel E. Le Belle, Robert C. Marsh, Ichiro Nakano, Dan R. Laks and Eduard H. Panosyan and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Cell stem cell.

In The Last Decade

Jack Mottahedeh

14 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Proliferative Neural Stem Cells Have High Endogenous ROS Levels that Regulate Self-Renewal and Neurogenesis in a PI3K/Akt-Dependant Manner

2011 634 citations Janel E. Le Belle, Andres A. Paucar et al. Cell stem cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jack Mottahedeh United States	12	558	209	208	180	147	14	1.1k
Soo-Kyung Bae South Korea	7	810 1.5×	270 1.3×	275 1.3×	96 0.5×	247 1.7×	11	1.4k
Svetlana Zonis United States	19	564 1.0×	158 0.8×	226 1.1×	143 0.8×	326 2.2×	27	1.3k
Jianbing Qin China	21	721 1.3×	255 1.2×	420 2.0×	143 0.8×	152 1.0×	76	1.4k
Yifeng Lin China	19	726 1.3×	151 0.7×	377 1.8×	68 0.4×	184 1.3×	42	1.4k
Andres A. Paucar United States	7	660 1.2×	258 1.2×	126 0.6×	101 0.6×	69 0.5×	7	1.0k
Marta Segarra Germany	19	495 0.9×	88 0.4×	98 0.5×	90 0.5×	134 0.9×	24	1.1k
Xiuping Zhou China	24	976 1.7×	64 0.3×	299 1.4×	138 0.8×	253 1.7×	74	1.6k
Siddharth G. Kamath United States	14	515 0.9×	147 0.7×	239 1.1×	192 1.1×	38 0.3×	21	900
Yajing Mi China	17	495 0.9×	67 0.3×	202 1.0×	96 0.5×	183 1.2×	31	1.1k

Countries citing papers authored by Jack Mottahedeh

Since Specialization

Citations

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

Fields of papers citing papers by Jack Mottahedeh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack Mottahedeh

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

All Works

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14 of 14 papers shown

Muthukrishnan, Sree Deepthi, Alireza Sohrabi, Riki Kawaguchi, et al.. (2022). A molecular interactome of the glioblastoma perivascular niche reveals integrin binding sialoprotein as a mediator of tumor cell migration. Cell Reports. 41(3). 111511–111511. 11 indexed citations

Sohrabi, Alireza, Sree Deepthi Muthukrishnan, Riki Kawaguchi, et al.. (2021). A Molecular Interactome of the Glioblastoma Perivascular Niche Reveals Integrin Binding Sialoprotein as a Key Mediator of Tumor Cell Migration. SSRN Electronic Journal. 1 indexed citations

Garrett, Matthew C., Jantzen Sperry, Daniel Braas, et al.. (2018). Metabolic characterization of isocitrate dehydrogenase (IDH) mutant and IDH wildtype gliomaspheres uncovers cell type-specific vulnerabilities. SHILAP Revista de lepidopterología. 6(1). 4–4. 51 indexed citations

Mottahedeh, Jack, Michael C. Haffner, Tristan Grogan, et al.. (2018). CD38 is methylated in prostate cancer and regulates extracellular NAD+. SHILAP Revista de lepidopterología. 6(1). 13–13. 29 indexed citations

Senese, Silvia, Yu‐Chen Lo, Ankur A. Gholkar, et al.. (2017). Microtubins: a novel class of small synthetic microtubule targeting drugs that inhibit cancer cell proliferation. Oncotarget. 8(61). 104007–104021. 8 indexed citations

Liu, Xian, Tristan Grogan, Haley Hieronymus, et al.. (2016). Low CD38 Identifies Progenitor-like Inflammation-Associated Luminal Cells that Can Initiate Human Prostate Cancer and Predict Poor Outcome. Cell Reports. 17(10). 2596–2606. 84 indexed citations

Laks, Dan R., Thomas J. Crisman, Jack Mottahedeh, et al.. (2016). Large-scale assessment of the gliomasphere model system. Neuro-Oncology. 18(10). 1367–1378. 61 indexed citations

Visnyei, Koppany, Hideyuki Onodera, Robert Damoiseaux, et al.. (2011). A Molecular Screening Approach to Identify and Characterize Inhibitors of Glioblastoma Stem Cells. Molecular Cancer Therapeutics. 10(10). 1818–1828. 69 indexed citations

Belle, Janel E. Le, Andres A. Paucar, Jonathan P. Saxe, et al.. (2011). Proliferative Neural Stem Cells Have High Endogenous ROS Levels that Regulate Self-Renewal and Neurogenesis in a PI3K/Akt-Dependant Manner. Cell stem cell. 8(1). 59–71. 634 indexed citations breakdown →

10.

Panosyan, Eduard H., Dan R. Laks, Michael Masterman‐Smith, et al.. (2010). Clinical outcome in pediatric glial and embryonal brain tumors correlates with in vitro multi‐passageable neurosphere formation. Pediatric Blood & Cancer. 55(4). 644–651. 34 indexed citations

11.

Mottahedeh, Jack, et al.. (2005). Disrupted compaction of CNS myelin in an OSP/Claudin-11 and PLP/DM20 double knockout mouse. Molecular and Cellular Neuroscience. 29(3). 405–413. 40 indexed citations

12.

Paucar, Andres A., et al.. (2004). Developmental expression of glial fibrillary acidic protein mRNA in mouse forebrain germinal zones—implications for stem cell biology. Developmental Brain Research. 153(1). 121–125. 32 indexed citations

13.

Mottahedeh, Jack & Robert C. Marsh. (1998). Characterization of 101-kDa Transglutaminase from Physarum polycephalum and Identification of LAV1-2 as Substrate. Journal of Biological Chemistry. 273(45). 29888–29895. 19 indexed citations

14.

Huh, Chang-Goo, et al.. (1998). Cloning and Characterization of Physarum polycephalumTectonins. Journal of Biological Chemistry. 273(11). 6565–6574. 30 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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