Nima Moaven

795 total citations
8 papers, 643 citations indexed

About

Nima Moaven is a scholar working on Physiology, Cell Biology and Molecular Biology. According to data from OpenAlex, Nima Moaven has authored 8 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 5 papers in Cell Biology and 3 papers in Molecular Biology. Recurrent topics in Nima Moaven's work include Lysosomal Storage Disorders Research (7 papers), Cellular transport and secretion (5 papers) and Calcium signaling and nucleotide metabolism (3 papers). Nima Moaven is often cited by papers focused on Lysosomal Storage Disorders Research (7 papers), Cellular transport and secretion (5 papers) and Calcium signaling and nucleotide metabolism (3 papers). Nima Moaven collaborates with scholars based in United States, Brazil and Germany. Nima Moaven's co-authors include Ellen Sidransky, Wendy Westbroek, Ehud Goldin, Samarjit Patnaik, Juan Marugán, Elma Aflaki, Grisel Lopez, Arash Velayati, Barbara Stubblefield and Daniel K. Borger and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Science Translational Medicine.

In The Last Decade

Nima Moaven

8 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nima Moaven United States	6	461	301	249	152	125	8	643
Orit Neudorfer Israel	7	397 0.9×	256 0.9×	223 0.9×	117 0.8×	73 0.6×	9	583
Benjamin Liou United States	16	829 1.8×	526 1.7×	161 0.6×	368 2.4×	188 1.5×	31	1.1k
Emerson Maniwang United States	6	258 0.6×	151 0.5×	122 0.5×	71 0.5×	73 0.6×	6	343
Melissa A. Hayes United States	5	179 0.4×	114 0.4×	198 0.8×	143 0.9×	46 0.4×	7	406
Jennifer L. Badger United Kingdom	6	165 0.4×	107 0.4×	183 0.7×	204 1.3×	64 0.5×	7	440
Soledad Matus Chile	9	130 0.3×	160 0.5×	282 1.1×	223 1.5×	352 2.8×	11	662
Matthew Beard France	16	128 0.3×	377 1.3×	205 0.8×	884 5.8×	31 0.2×	39	1.2k
Jared W. Benedict United States	9	333 0.7×	215 0.7×	21 0.1×	204 1.3×	42 0.3×	9	416
Liina Lonka Finland	6	392 0.9×	254 0.8×	15 0.1×	200 1.3×	57 0.5×	7	481
Jillian H. Kluss United States	11	215 0.5×	203 0.7×	422 1.7×	254 1.7×	93 0.7×	16	659

Countries citing papers authored by Nima Moaven

Since Specialization

Citations

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

Fields of papers citing papers by Nima Moaven

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nima Moaven

This figure shows the co-authorship network connecting the top 25 collaborators of Nima Moaven. A scholar is included among the top collaborators of Nima Moaven 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 Moaven. Nima Moaven 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:

8 of 8 papers shown

1.

Aflaki, Elma, Daniel K. Borger, Nima Moaven, et al.. (2016). A New Glucocerebrosidase Chaperone Reduces -Synuclein and Glycolipid Levels in iPSC-Derived Dopaminergic Neurons from Patients with Gaucher Disease and Parkinsonism. Journal of Neuroscience. 36(28). 7441–7452. 181 indexed citations

2.

Aflaki, Elma, Daniel K. Borger, Nima Moaven, et al.. (2016). IPSC-derived dopaminergic neurons from patients with Gaucher disease and Parkinsonism demonstrate the potential of a new glucocerebrosidase chaperone. Molecular Genetics and Metabolism. 117(2). S15–S15. 1 indexed citations

3.

Aflaki, Elma, Nima Moaven, Daniel K. Borger, et al.. (2015). Lysosomal storage and impaired autophagy lead to inflammasome activation in G aucher macrophages. Aging Cell. 15(1). 77–88. 122 indexed citations

4.

Siebert, Marina, Wendy Westbroek, Yu‐Chi Chen, et al.. (2014). Identification of miRNAs that modulate glucocerebrosidase activity in Gaucher disease cells. RNA Biology. 11(10). 1291–1300. 35 indexed citations

5.

Aflaki, Elma, Barbara Stubblefield, Emerson Maniwang, et al.. (2014). Macrophage Models of Gaucher Disease for Evaluating Disease Pathogenesis and Candidate Drugs. Science Translational Medicine. 6(240). 240ra73–240ra73. 97 indexed citations

6.

Siebert, Marina, Wendy Westbroek, Yu‐Chi Chen, et al.. (2014). MiRNAs and glucocerebrosidase: lessons from miRNA mimic screening. Molecular Genetics and Metabolism. 111(2). S98–S98. 2 indexed citations

7.

Yap, Thai Leong, James M. Gruschus, Arash Velayati, et al.. (2011). α-Synuclein Interacts with Glucocerebrosidase Providing a Molecular Link between Parkinson and Gaucher Diseases. Journal of Biological Chemistry. 286(32). 28080–28088. 137 indexed citations

8.

Velayati, Arash, Nidhi Gupta, Jae Hyuk Choi, et al.. (2011). A mutation in SCARB2 is a modifier in gaucher disease. Human Mutation. 32(11). 1232–1238. 68 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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