Mulyoto Pangestu

488 total citations
45 papers, 336 citations indexed

About

Mulyoto Pangestu is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Mulyoto Pangestu has authored 45 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Reproductive Medicine, 22 papers in Public Health, Environmental and Occupational Health and 8 papers in Genetics. Recurrent topics in Mulyoto Pangestu's work include Reproductive Biology and Fertility (21 papers), Sperm and Testicular Function (20 papers) and Reproductive Health and Technologies (8 papers). Mulyoto Pangestu is often cited by papers focused on Reproductive Biology and Fertility (21 papers), Sperm and Testicular Function (20 papers) and Reproductive Health and Technologies (8 papers). Mulyoto Pangestu collaborates with scholars based in Australia, Indonesia and United States. Mulyoto Pangestu's co-authors include Peter Temple‐Smith, Sally Catt, Xiaoqian Wang, Linda Rae Bennett, Budi Wiweko, Aucky Hinting, Lauren Bell, Trinil Susilawati, Ria Margiana and Gregory Armstrong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mulyoto Pangestu

36 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mulyoto Pangestu Australia 10 190 164 80 41 30 45 336
Mahendran Mahadevan United States 13 179 0.9× 220 1.3× 132 1.6× 73 1.8× 64 2.1× 27 414
Samira Barbosa Lima Brazil 7 201 1.1× 120 0.7× 87 1.1× 10 0.2× 75 2.5× 14 295
Juan Antonio Maldonado Molina Spain 9 103 0.5× 173 1.1× 83 1.0× 20 0.5× 101 3.4× 28 392
Laura Falchi Italy 12 170 0.9× 208 1.3× 57 0.7× 26 0.6× 41 1.4× 27 356
Patricia Peris‐Frau Spain 8 266 1.4× 237 1.4× 45 0.6× 18 0.4× 45 1.5× 21 323
Hadi Hajarian Iran 13 206 1.1× 251 1.5× 61 0.8× 32 0.8× 91 3.0× 40 383
Irene Sánchez‐Ajofrín Spain 11 297 1.6× 263 1.6× 46 0.6× 20 0.5× 53 1.8× 22 369
Fazile Cantürk Türkiye 10 199 1.0× 171 1.0× 54 0.7× 16 0.4× 25 0.8× 14 379
A.E.M. Horta Portugal 15 210 1.1× 285 1.7× 122 1.5× 38 0.9× 86 2.9× 27 507
M.A. Nowshari Germany 13 226 1.2× 301 1.8× 89 1.1× 29 0.7× 64 2.1× 22 365

Countries citing papers authored by Mulyoto Pangestu

Since Specialization
Citations

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

Fields of papers citing papers by Mulyoto Pangestu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mulyoto Pangestu

This figure shows the co-authorship network connecting the top 25 collaborators of Mulyoto Pangestu. A scholar is included among the top collaborators of Mulyoto Pangestu 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 Mulyoto Pangestu. Mulyoto Pangestu 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.
Said, Syahruddin, et al.. (2025). A‐Kinase Anchor Protein 4 (proAKAP4): Protein Molecule–Based Fertility Marker of Indonesian Dairy Bull and Its Correlation With Frozen‐Thawed Sperm Quality. Veterinary Medicine International. 2025(1). 8367714–8367714. 1 indexed citations
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Poh, Qi Hui, Alin Rai, Mulyoto Pangestu, Lois A. Salamonsen, & David W. Greening. (2023). Rapid generation of functional nanovesicles from human trophectodermal cells for embryo attachment and outgrowth. PROTEOMICS. 24(11). e2300056–e2300056. 3 indexed citations
5.
Pangestu, Mulyoto, et al.. (2023). Impacts of COVID-19 Pandemic on Three IVF Clinics of Jakarta, Indonesia: A Retrospective Qualitative and Quantitative Study.. SHILAP Revista de lepidopterología. 17(4). 254–258.
6.
Pangestu, Mulyoto, et al.. (2023). Bovine sperm HSP-70 molecules: a potential cryo-tolerance marker associated with semen quality and fertility rate. Frontiers in Veterinary Science. 10. 1167594–1167594. 12 indexed citations
7.
Margiana, Ria, et al.. (2022). A systematic review of retinoic acid in the journey of spermatogonium to spermatozoa: From basic to clinical application. F1000Research. 11. 552–552. 1 indexed citations
8.
Margiana, Ria, et al.. (2022). A systematic review of retinoic acid in the journey of spermatogonium to spermatozoa: From basic to clinical application. F1000Research. 11. 552–552. 7 indexed citations
9.
Li, Ying, et al.. (2022). Podocalyxin molecular characteristics and endometrial expression: high conservation between humans and macaques but divergence in mice. Biology of Reproduction. 106(6). 1143–1158. 3 indexed citations
10.
Pangestu, Mulyoto. (2019). Comparable Results between Continuous and Sequential Media on Mouse Embryo Cultured in Time-Lapse Incubator. IOP Conference Series Earth and Environmental Science. 372(1). 12043–12043.
11.
Pangestu, Mulyoto, et al.. (2018). Comparison of sucrose and trehalose media modification as an update of oocyte vitrification: A study of apoptotic level. AIP conference proceedings. 1933. 30017–30017.
12.
Temple‐Smith, Peter, et al.. (2018). Cryopreservation of spiny mouse epididymal sperm. Cryobiology. 85. 123–123.
13.
Pangestu, Mulyoto, et al.. (2017). In Vitro Maturation Rate of Bligon Goat Oocytes Supplemented With Gonadotropin. 489–493. 1 indexed citations
14.
Mortimer, Michael, et al.. (2017). Evaluation of a new virtual reality micro-robotic cell injection training system. Computers & Electrical Engineering. 67. 656–671. 9 indexed citations
15.
Horan, Ben, et al.. (2015). Haptic Technology for Micro-robotic Cell Injection Training Systems—A Review. Intelligent Automation & Soft Computing. 22(3). 509–523. 4 indexed citations
16.
Pangestu, Mulyoto, et al.. (2015). Confirmed dioestrus in pseudopregnant mice using vaginal exfoliative cytology improves embryo transfer implantation rate. Reproductive BioMedicine Online. 31(4). 538–543. 5 indexed citations
17.
Bennett, Linda Rae, Budi Wiweko, Lauren Bell, et al.. (2014). Reproductive knowledge and patient education needs among Indonesian women infertility patients attending three fertility clinics. Patient Education and Counseling. 98(3). 364–369. 32 indexed citations
18.
Wang, Xiaoqian, Sally Catt, Mulyoto Pangestu, & Peter Temple‐Smith. (2010). Successful in vitro culture of pre-antral follicles derived from vitrified murine ovarian tissue: oocyte maturation, fertilization, and live births. Reproduction. 141(2). 183–191. 68 indexed citations
19.
Pangestu, Mulyoto, et al.. (2005). Sperm Preservation using Freeze-Drying Method. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Pangestu, Mulyoto, et al.. (2000). Heat tolerance and productivity of local and imported Holstein-Friesian cows in Indonesia.. Asian-Australasian Journal of Animal Sciences. 13. 505–508. 6 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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