Kuldip Sidhu

1.4k total citations
45 papers, 1.1k citations indexed

About

Kuldip Sidhu is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Kuldip Sidhu has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 12 papers in Physiology and 11 papers in Surgery. Recurrent topics in Kuldip Sidhu's work include Pluripotent Stem Cells Research (27 papers), CRISPR and Genetic Engineering (12 papers) and 3D Printing in Biomedical Research (9 papers). Kuldip Sidhu is often cited by papers focused on Pluripotent Stem Cells Research (27 papers), CRISPR and Genetic Engineering (12 papers) and 3D Printing in Biomedical Research (9 papers). Kuldip Sidhu collaborates with scholars based in Australia, United States and China. Kuldip Sidhu's co-authors include Bernard E. Tuch, Perminder S. Sachdev, Jinlian Hua, Lezanne Ooi, Michael D. O’Connor, Gerald Münch, Michael Valenzuela, Rachelle Balez, Martin Engel and Sonia Sanz Muñoz and has published in prestigious journals such as PLoS ONE, Biomaterials and Scientific Reports.

In The Last Decade

Kuldip Sidhu

43 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuldip Sidhu Australia 18 659 252 206 184 147 45 1.1k
Taku Nedachi Japan 20 849 1.3× 177 0.7× 180 0.9× 316 1.7× 164 1.1× 34 1.4k
Mohammad Rasool Khazaei Iran 20 402 0.6× 165 0.7× 67 0.3× 68 0.4× 263 1.8× 81 1.2k
Chengrui An China 17 640 1.0× 140 0.6× 55 0.3× 114 0.6× 104 0.7× 24 1.5k
Min‐Soo Kwon South Korea 22 377 0.6× 87 0.3× 76 0.4× 228 1.2× 210 1.4× 65 1.4k
Fenzan Wu China 22 449 0.7× 152 0.6× 45 0.2× 95 0.5× 310 2.1× 36 1.3k
Šárka Lehtonen Finland 24 818 1.2× 117 0.5× 123 0.6× 450 2.4× 471 3.2× 59 2.1k
Hyosung Kim United States 15 336 0.5× 92 0.4× 126 0.6× 109 0.6× 91 0.6× 55 830
Jami L. Scheib United States 9 280 0.4× 153 0.6× 108 0.5× 145 0.8× 543 3.7× 9 1.1k
Scott G. Canfield United States 19 782 1.2× 135 0.5× 366 1.8× 134 0.7× 255 1.7× 30 1.6k
Patricia Giuliani Italy 25 548 0.8× 89 0.4× 58 0.3× 122 0.7× 437 3.0× 62 1.5k

Countries citing papers authored by Kuldip Sidhu

Since Specialization
Citations

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

Fields of papers citing papers by Kuldip Sidhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuldip Sidhu

This figure shows the co-authorship network connecting the top 25 collaborators of Kuldip Sidhu. A scholar is included among the top collaborators of Kuldip Sidhu 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 Kuldip Sidhu. Kuldip Sidhu 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.
Finol‐Urdaneta, Rocio K., Amy E. Hulme, Mauricio Castro Cabral-da-Silva, et al.. (2024). Alzheimer’s disease induced neurons bearing PSEN1 mutations exhibit reduced excitability. Frontiers in Cellular Neuroscience. 18. 1406970–1406970. 3 indexed citations
2.
Islam, Md Shariful, et al.. (2024). Mesenchymal stem cell‐secretome laden photopolymerizable hydrogels for wound healing. Journal of Biomedical Materials Research Part A. 112(9). 1484–1493. 5 indexed citations
3.
Balez, Rachelle, Claire H. Stevens, Kerstin Lenk, et al.. (2024). Increased Neuronal Nitric Oxide Synthase in Alzheimer's Disease Mediates Spontaneous Calcium Signaling and Divergent Glutamatergic Calcium Responses. Antioxidants and Redox Signaling. 41(4-6). 255–277. 5 indexed citations
4.
5.
Pan, Qin, Na Li, Zhe Zhou, et al.. (2018). H19 regulates the proliferation of bovine male germline stem cells via IGF‐1 signaling pathway. Journal of Cellular Physiology. 234(1). 915–926. 21 indexed citations
6.
Hu, Shuxian, Hong Yang, Zhe Zhou, et al.. (2018). Melatonin attenuates detrimental effects of diabetes on the niche of mouse spermatogonial stem cells by maintaining Leydig cells. Cell Death and Disease. 9(10). 968–968. 37 indexed citations
7.
Duncan, Thomas, Kuldip Sidhu, Perminder S. Sachdev, et al.. (2017). Replicable Expansion and Differentiation of Neural Precursors from Adult Canine Skin. Stem Cell Reports. 9(2). 557–570. 4 indexed citations
8.
Dalton, Marshall A., et al.. (2015). Neurogenesis and precursor cell differences in the dorsal and ventral adult canine hippocampus. Neuroscience Letters. 593. 107–113. 24 indexed citations
9.
Chung, Henry, et al.. (2012). Derivation, Propagation, and Characterization of Neuroprogenitors from Pluripotent Stem Cells (hESCs and hiPSCs). Methods in molecular biology. 873. 237–246. 12 indexed citations
10.
Chung, Henry, Ruby C.Y. Lin, Grant J. Logan, et al.. (2011). Human Induced Pluripotent Stem Cells Derived Under Feeder-Free Conditions Display Unique Cell Cycle and DNA Replication Gene Profiles. Stem Cells and Development. 21(2). 206–216. 20 indexed citations
11.
Tuch, Bernard E., et al.. (2011). Suppression of NANOG Induces Efficient Differentiation of Human Embryonic Stem Cells to Pancreatic Endoderm. Pancreas. 41(1). 54–64. 7 indexed citations
12.
Han, Jinnuo, Perminder S. Sachdev, & Kuldip Sidhu. (2010). A Combined Epigenetic and Non-Genetic Approach for Reprogramming Human Somatic Cells. PLoS ONE. 5(8). e12297–e12297. 37 indexed citations
13.
Sidhu, Kuldip, John P. Ryan, Justin G. Lees, & Bernard E. Tuch. (2010). Derivation of a new human embryonic stem cell line, Endeavour-2, and its characterization. In Vitro Cellular & Developmental Biology - Animal. 46(3-4). 269–275. 5 indexed citations
14.
Tuch, Bernard E., et al.. (2009). Alginate microcapsule for propagation and directed differentiation of hESCs to definitive endoderm. Biomaterials. 31(3). 505–514. 100 indexed citations
15.
Hua, Jinlian & Kuldip Sidhu. (2008). Recent Advances in the Derivation of Germ Cells from the Embryonic Stem Cells. Stem Cells and Development. 17(3). 399–412. 40 indexed citations
16.
Sidhu, Kuldip, John P. Ryan, & Bernard E. Tuch. (2008). Derivation of a New Human Embryonic Stem Cell Line, Endeavour-1, and Its Clonal Propagation. Stem Cells and Development. 17(1). 41–52. 16 indexed citations
17.
Valenzuela, Michael, et al.. (2008). Neural Precursors from Canine Skin: A New Direction for Testing Autologous Cell Replacement in the Brain. Stem Cells and Development. 17(6). 1087–1094. 21 indexed citations
18.
Sidhu, Kuldip & Bernard E. Tuch. (2006). Derivation of Three Clones from Human Embryonic Stem Cell Lines by FACS Sorting and Their Characterization. Stem Cells and Development. 15(1). 61–69. 39 indexed citations
19.
Sidhu, Kuldip, et al.. (2006). Transgenic Human Fetal Fibroblasts as Feeder Layer for Human Embryonic Stem Cell Lineage Selection. Stem Cells and Development. 15(5). 741–747. 12 indexed citations
20.
Hardikar, Anandwardhan A., Justin G. Lees, Kuldip Sidhu, Emily K. Colvin, & Bernard E. Tuch. (2006). Stem-Cell Therapy for Diabetes Cure: How Close are We?. Current Stem Cell Research & Therapy. 1(3). 425–436. 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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