K. Daneshvar

3.0k total citations · 1 hit paper
43 papers, 2.1k citations indexed

About

K. Daneshvar is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Molecular Biology. According to data from OpenAlex, K. Daneshvar has authored 43 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 18 papers in Atomic and Molecular Physics, and Optics and 10 papers in Molecular Biology. Recurrent topics in K. Daneshvar's work include Quantum Dots Synthesis And Properties (6 papers), Semiconductor materials and interfaces (6 papers) and RNA Research and Splicing (6 papers). K. Daneshvar is often cited by papers focused on Quantum Dots Synthesis And Properties (6 papers), Semiconductor materials and interfaces (6 papers) and RNA Research and Splicing (6 papers). K. Daneshvar collaborates with scholars based in United States, China and South Korea. K. Daneshvar's co-authors include Alan C. Mullen, Cosmas Giallourakis, Benoit Molinié, Jinkai Wang, Yi Xing, Chan Zhou, Peter C. Dedon, Nicholas Van Wittenberghe, Joshua V. Pondick and Pedro J. Batista and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Journal of Applied Physics.

In The Last Decade

K. Daneshvar

42 papers receiving 2.1k citations

Hit Papers

m6A RNA Modification Controls Cell Fate Transition in Mam... 2014 2026 2018 2022 2014 250 500 750
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.

  1. m6A RNA Modification Controls Cell Fate Transition in Mammalian Embryonic Stem Cells
    2014 957 citations Pedro J. Batista, Benoit Molinié 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 Career Trend Papers Cites
K. Daneshvar United States 13 1.9k 993 332 133 84 43 2.1k
Fumio Yatagai Japan 23 898 0.5× 326 0.3× 99 0.3× 122 0.9× 19 0.2× 76 1.8k
Hiroki Oikawa Japan 15 332 0.2× 197 0.2× 46 0.1× 136 1.0× 50 0.6× 52 833
Zhuo Song China 17 484 0.3× 240 0.2× 55 0.2× 57 0.4× 30 0.4× 41 1.2k
Takehiro Nomura Japan 14 682 0.4× 58 0.1× 124 0.4× 114 0.9× 66 0.8× 62 1.0k
L. Dong United Kingdom 15 711 0.4× 233 0.2× 390 1.2× 45 0.3× 237 2.8× 34 1.2k
Yuki Okuda Japan 13 743 0.4× 128 0.1× 122 0.4× 134 1.0× 50 0.6× 24 1.1k
Alison L. Livingston United States 8 971 0.5× 375 0.4× 71 0.2× 503 3.8× 25 0.3× 8 1.5k
Heda Zhang China 23 1.5k 0.8× 1.4k 1.4× 31 0.1× 98 0.7× 264 3.1× 54 2.0k
Young Sun Oh South Korea 16 737 0.4× 169 0.2× 56 0.2× 152 1.1× 44 0.5× 34 1.0k

Countries citing papers authored by K. Daneshvar

Since Specialization
Citations

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

Fields of papers citing papers by K. Daneshvar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Daneshvar

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

All Works

20 of 20 papers shown
1.
Daneshvar, K., Michelle L. Pleet, M. Iqbal, et al.. (2025). Suppression of HIV-1 transcription and latency reversal via ectopic expression of the viral antisense transcript AST. Science Advances. 11(19). eadu8014–eadu8014. 2 indexed citations
2.
3.
Daneshvar, K., M. Behfar Ardehali, Isaac A. Klein, et al.. (2020). lncRNA DIGIT and BRD3 protein form phase-separated condensates to regulate endoderm differentiation. Nature Cell Biology. 22(10). 1211–1222. 104 indexed citations
4.
Zhou, Chan, Benoit Molinié, K. Daneshvar, et al.. (2017). Genome-Wide Maps of m6A circRNAs Identify Widespread and Cell-Type-Specific Methylation Patterns that Are Distinct from mRNAs. Cell Reports. 20(9). 2262–2276. 347 indexed citations
5.
Daneshvar, K., Joshua V. Pondick, Byeong–Moo Kim, et al.. (2016). DIGIT Is a Conserved Long Noncoding RNA that Regulates GSC Expression to Control Definitive Endoderm Differentiation of Embryonic Stem Cells. Cell Reports. 17(2). 353–365. 54 indexed citations
6.
Molinié, Benoit, Jinkai Wang, Kok Seong Lim, et al.. (2016). m6A-LAIC-seq reveals the census and complexity of the m6A epitranscriptome. Nature Methods. 13(8). 692–698. 315 indexed citations
7.
Batista, Pedro J., Benoit Molinié, Jinkai Wang, et al.. (2014). m6A RNA Modification Controls Cell Fate Transition in Mammalian Embryonic Stem Cells. Cell stem cell. 15(6). 707–719. 957 indexed citations breakdown →
8.
Nath, Sritama, K. Daneshvar, Lopamudra Das Roy, et al.. (2013). MUC1 induces drug resistance in pancreatic cancer cells via upregulation of multidrug resistance genes. Oncogenesis. 2(6). e51–e51. 137 indexed citations
9.
Daneshvar, K., et al.. (2012). MicroRNA miR-308 regulates dMyc through a negative feedback loop in Drosophila. Biology Open. 2(1). 1–9. 14 indexed citations
10.
Daneshvar, K., et al.. (2011). Myc Localizes to Histone Locus Bodies during Replication in Drosophila. PLoS ONE. 6(8). e23928–e23928. 8 indexed citations
11.
Najarian, Kayvan, et al.. (2009). Combining predictive capabilities of transcranial doppler with electrocardiogram to predict hemorrhagic shock. PubMed. 18. 2621–2624. 4 indexed citations
12.
Tsu, Raphael, et al.. (2006). Silicon–O–M–O–silicon superlattice. Microelectronics Journal. 37(12). 1519–1522. 3 indexed citations
13.
Kang, Kwang‐Sun & K. Daneshvar. (2004). Matrix and thermal effects on photoluminescence from PbS quantum dots. Journal of Applied Physics. 95(9). 4747–4751. 12 indexed citations
14.
15.
Kang, Kwang‐Sun & K. Daneshvar. (2003). CdS quantum dots in hybrid sol–gel matrix; absorption and room-temperature photoluminescence. Journal of Applied Physics. 95(2). 646–648. 10 indexed citations
16.
17.
Jaeger, R.C., et al.. (1985). Direct measurement of the available voltage gain of bipolar and field-effect transistors. IEEE Electron Device Letters. 6(5). 219–220. 3 indexed citations
18.
Daneshvar, K., et al.. (1985). Reaction of metals in lower earth orbit during Space Shuttle flight 41-G. 6 indexed citations
19.
Kwong, Dim‐Lee, et al.. (1983). Rapid Thermal Annealing of Composite TaSi2/n+ Poly-Si Silicide Films. MRS Proceedings. 23. 2 indexed citations
20.
Daneshvar, K., et al.. (1982). Mg24(C12,α)S32reaction fromE12C=24−36MeV. Physical Review C. 25(3). 1388–1395. 1 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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