Berry Juliandi

1.1k total citations
42 papers, 751 citations indexed

About

Berry Juliandi is a scholar working on Molecular Biology, Developmental Neuroscience and Genetics. According to data from OpenAlex, Berry Juliandi has authored 42 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Developmental Neuroscience and 8 papers in Genetics. Recurrent topics in Berry Juliandi's work include Neurogenesis and neuroplasticity mechanisms (9 papers), Plant and animal studies (6 papers) and Evolution and Paleontology Studies (5 papers). Berry Juliandi is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (9 papers), Plant and animal studies (6 papers) and Evolution and Paleontology Studies (5 papers). Berry Juliandi collaborates with scholars based in Indonesia, Japan and United Kingdom. Berry Juliandi's co-authors include Kinichi Nakashima, Masahiko Abematsu, Tsukasa Sanosaka, Keita Tsujimura, Austin Smith, Katsunori Semi, Yusuke Fujimoto, Anna Falk, Masakazu Namihira and T. Matsuda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Berry Juliandi

37 papers receiving 743 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Berry Juliandi Indonesia 11 368 222 164 117 92 42 751
Jonathan R. McDearmid United Kingdom 18 614 1.7× 151 0.7× 423 2.6× 139 1.2× 125 1.4× 23 1.6k
Xiomara Pedré Germany 12 388 1.1× 407 1.8× 210 1.3× 123 1.1× 113 1.2× 12 1.1k
Giovanna Ponti Italy 16 312 0.8× 479 2.2× 227 1.4× 73 0.6× 49 0.5× 29 839
Marc A. Wolman United States 20 609 1.7× 161 0.7× 430 2.6× 80 0.7× 137 1.5× 40 1.3k
Sara Zocher Germany 12 531 1.4× 296 1.3× 138 0.8× 89 0.8× 27 0.3× 18 977
Tomoko Hisaoka Japan 13 291 0.8× 124 0.6× 181 1.1× 101 0.9× 22 0.2× 21 632
Myriam Cayre France 19 354 1.0× 476 2.1× 401 2.4× 121 1.0× 58 0.6× 27 1.0k
Kang Zheng China 19 699 1.9× 438 2.0× 536 3.3× 104 0.9× 52 0.6× 62 1.4k
Eduardo Weruaga Spain 23 483 1.3× 302 1.4× 555 3.4× 59 0.5× 91 1.0× 76 1.4k
Diego García‐González Spain 16 247 0.7× 117 0.5× 135 0.8× 110 0.9× 24 0.3× 19 551

Countries citing papers authored by Berry Juliandi

Since Specialization
Citations

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

Fields of papers citing papers by Berry Juliandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Berry Juliandi

This figure shows the co-authorship network connecting the top 25 collaborators of Berry Juliandi. A scholar is included among the top collaborators of Berry Juliandi 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 Berry Juliandi. Berry Juliandi 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.
Yusuf, Arief Anshory, Zulfa Sakhiyya, Sudirman Nasir, et al.. (2024). Reflecting on Indonesia’s young academy movement. Proceedings of the National Academy of Sciences. 121(17). e2307213121–e2307213121. 2 indexed citations
2.
Herrera‐Alsina, Leonel, Lesley T. Lancaster, Adam C. Algar, et al.. (2024). Accounting for extinction dynamics unifies the geological and biological histories of Indo-Australian Archipelago. Proceedings of the Royal Society B Biological Sciences. 291(2031). 20240966–20240966. 2 indexed citations
3.
4.
Juliandi, Berry, et al.. (2023). Exploring the influence of maitake (Grifola frondosa) on Mus musculus learning-memory and anxiety behavior. IOP Conference Series Earth and Environmental Science. 1271(1). 12072–12072.
5.
Juliandi, Berry, et al.. (2022). Intra- and Interspecies Wing Venation Variations of Apis cerana and Apis nigrocincta Species in Indonesia. HAYATI Journal of Biosciences. 29(2). 222–233. 1 indexed citations
6.
Herrera‐Alsina, Leonel, et al.. (2022). Reconstruction of State-Dependent Diversification: Integrating Phenotypic Traits into Molecular Phylogenies. Methods in molecular biology. 2569. 305–326. 1 indexed citations
7.
Herrera‐Alsina, Leonel, Adam C. Algar, Greta Bocedi, et al.. (2021). Ancient geological dynamics impact neutral biodiversity accumulation and are detectable in phylogenetic reconstructions. Global Ecology and Biogeography. 30(8). 1633–1642. 4 indexed citations
8.
Juliandi, Berry, et al.. (2020). Oral Administration of Incense Resin (Styrax benzoin) Extract Enhances Spatial Learning, Memory, and Dendrite Complexity of Mice. Brazilian Archives of Biology and Technology. 63. 1 indexed citations
9.
Raffiudin, Rika, et al.. (2019). The Phosphofructokinase and Pyruvate Kinase Genes in Apis andreniformis and Apis cerana indica: Exon Intron Organisation and Evolution. Tropical Life Sciences Research. 30(1). 89–107. 2 indexed citations
10.
Fahrudin, Mokhamad, et al.. (2019). Heterogeneity of Cells Population and Secretome Profile of Differentiated Cells from E17 Rat Neural Progenitor Cells. PubMed. 15(2). 35–44. 1 indexed citations
11.
Juliandi, Berry, et al.. (2018). Neuronal Cell Death and Mice (Mus Musculus) Behaviour after Induced by Bee Venom. Tropical Life Sciences Research. 29(2). 1–11. 5 indexed citations
12.
13.
Kurniawan, Mohammad, et al.. (2017). Intravenous Versus Intraarterial Transplantation of Human Umbilical Cord Blood Mononuclear Cells for Brain Ischemia in Rats. HAYATI Journal of Biosciences. 24(4). 187–194. 4 indexed citations
14.
Juliandi, Berry, Kentaro Tanemura, Katsuhide Igarashi, et al.. (2015). Reduced Adult Hippocampal Neurogenesis and Cognitive Impairments following Prenatal Treatment of the Antiepileptic Drug Valproic Acid. Stem Cell Reports. 5(6). 996–1009. 73 indexed citations
15.
Matsuda, Taito, Naoya Murao, Berry Juliandi, et al.. (2015). TLR9 signalling in microglia attenuates seizure-induced aberrant neurogenesis in the adult hippocampus. Nature Communications. 6(1). 6514–6514. 109 indexed citations
16.
Juliandi, Berry, et al.. (2013). Prenatal exposure to suberoylanilide hydroxamic acid perturbs corticogenesis. Neuroscience Research. 77(1-2). 42–49. 6 indexed citations
17.
Juliandi, Berry, et al.. (2013). Epigenetic regulation of neural stem cell fate during corticogenesis. International Journal of Developmental Neuroscience. 31(6). 424–433. 60 indexed citations
18.
Juliandi, Berry, Masahiko Abematsu, Tsukasa Sanosaka, et al.. (2011). Induction of superficial cortical layer neurons from mouse embryonic stem cells by valproic acid. Neuroscience Research. 72(1). 23–31. 33 indexed citations
19.
Juliandi, Berry, Masahiko Abematsu, & Kinichi Nakashima. (2010). Chromatin remodeling in neural stem cell differentiation. Current Opinion in Neurobiology. 20(4). 408–415. 49 indexed citations
20.
Juliandi, Berry, Masahiko Abematsu, & Kinichi Nakashima. (2010). Epigenetic regulation in neural stem cell differentiation. Development Growth & Differentiation. 52(6). 493–504. 69 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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