Buddha Gurung

1.1k total citations
19 papers, 875 citations indexed

About

Buddha Gurung is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Buddha Gurung has authored 19 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Genetics. Recurrent topics in Buddha Gurung's work include CAR-T cell therapy research (6 papers), Epigenetics and DNA Methylation (4 papers) and Cancer-related gene regulation (4 papers). Buddha Gurung is often cited by papers focused on CAR-T cell therapy research (6 papers), Epigenetics and DNA Methylation (4 papers) and Cancer-related gene regulation (4 papers). Buddha Gurung collaborates with scholars based in United States, China and Slovakia. Buddha Gurung's co-authors include Xianxin Hua, Zijie Feng, Smita Matkar, Bryson W. Katona, Natalia A. Veniaminova, Ming Lei, Jing Huang, Ke Wan, Juanita L. Merchant and Bingbing Wan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Buddha Gurung

18 papers receiving 863 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Buddha Gurung United States 11 560 366 186 107 88 19 875
Zijie Feng China 16 530 0.9× 436 1.2× 252 1.4× 142 1.3× 97 1.1× 33 958
Ninib Baryawno Sweden 16 586 1.0× 292 0.8× 258 1.4× 153 1.4× 71 0.8× 35 1.1k
Shenghao Jin United States 11 494 0.9× 176 0.5× 124 0.7× 70 0.7× 33 0.4× 21 722
Christian Seitz Germany 11 246 0.4× 338 0.9× 95 0.5× 29 0.3× 92 1.0× 40 663
Ami Goradia United States 8 436 0.8× 543 1.5× 132 0.7× 39 0.4× 32 0.4× 10 1.1k
Erich Weber Switzerland 10 418 0.7× 396 1.1× 73 0.4× 32 0.3× 41 0.5× 17 757
Francesco Boccalatte United States 12 536 1.0× 193 0.5× 44 0.2× 30 0.3× 88 1.0× 21 804
Chiao‐Ying Lin Taiwan 12 444 0.8× 414 1.1× 37 0.2× 43 0.4× 35 0.4× 16 864
David Eaves United States 8 191 0.3× 94 0.3× 69 0.4× 307 2.9× 55 0.6× 9 539
Gonzalo Lopez United States 15 505 0.9× 160 0.4× 72 0.4× 58 0.5× 21 0.2× 21 721

Countries citing papers authored by Buddha Gurung

Since Specialization
Citations

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

Fields of papers citing papers by Buddha Gurung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Buddha Gurung

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

All Works

19 of 19 papers shown
1.
Chin, Diana, Andriana Lebid, Mark Mendonça, et al.. (2024). Natural Killer and Gamma Delta T Cells Derived from Engineered Induced Pluripotent Stem Cells Have Potent Preclinical Activity to Treat B Cell-Mediated Autoimmune Diseases. Blood. 144(Supplement 1). 3437–3437. 3 indexed citations
2.
Millar, Hillary J., David H. Walker, Liam Campion, et al.. (2024). Abstract 6802: CXCR4 transgene improves in vivo migration and efficacy of engineered iPSC-derived natural killer cells. Cancer Research. 84(6_Supplement). 6802–6802. 2 indexed citations
3.
Perez, Alessandro, Matthew S. Hall, Sumei Lu, et al.. (2024). Leveraging Stage-Specific Promoters to Enhance Immune Cell Engineering in iPSC-Derived Cells for Cancer Immunotherapy. Blood. 144(Supplement 1). 4820–4820.
4.
Lebid, Andriana, Dae Hwan Kim, Heidi K. Jessup, et al.. (2024). Abstract 1320: Engineered expression of HLA-E and HLA-G protects iPSC-derived cells from killing by primary NK cells. Cancer Research. 84(6_Supplement). 1320–1320. 1 indexed citations
5.
Hall, Matthew S., et al.. (2023). Abstract 2914: iPSC-derived CAR-NK cell therapy: nominating clinical candidate clones through integrated multi-functional analysis. Cancer Research. 83(7_Supplement). 2914–2914. 1 indexed citations
6.
Campion, Liam, Katherine E. Santostefano, Toshinobu Nishimura, et al.. (2022). 262 Multiple targeting of solid tumors with iPSC-derived gamma delta CAR T cells in combination with therapeutic antibodies. Regular and Young Investigator Award Abstracts. A277–A277. 2 indexed citations
7.
Borges, Luís, Mark A. Wallet, Michael Naso, et al.. (2021). Development of Multi-Engineered iPSC-Derived CAR-NK Cells for the Treatment of B-Cell Malignancies. Blood. 138(Supplement 1). 1729–1729. 6 indexed citations
8.
He, Xin, Zijie Feng, Jian Ma, et al.. (2020). Bispecific and split CAR T cells targeting CD13 and TIM3 eradicate acute myeloid leukemia. Blood. 135(10). 713–723. 155 indexed citations
9.
Ma, Jian, Xin He, Yan Cao, et al.. (2019). Islet-specific Prmt5 excision leads to reduced insulin expression and glucose intolerance in mice. Journal of Endocrinology. 244(1). 41–52. 10 indexed citations
10.
Matkar, Smita, Paras Sharma, Shu-Bin Gao, et al.. (2015). An Epigenetic Pathway Regulates Sensitivity of Breast Cancer Cells to HER2 Inhibition via FOXO/c-Myc Axis. Cancer Cell. 28(4). 472–485. 71 indexed citations
11.
12.
Gurung, Buddha, et al.. (2014). Menin Is Required for Optimal Processing of the MicroRNA let-7a. Journal of Biological Chemistry. 289(14). 9902–9908. 18 indexed citations
13.
Gurung, Buddha, et al.. (2014). Menin-mediated regulation of miRNA biogenesis uncovers the IRS2 pathway as a target for regulating pancreatic beta cells. Oncoscience. 1(9). 562–566. 14 indexed citations
14.
Gurung, Buddha, Zijie Feng, & Xianxin Hua. (2013). Menin Directly Represses Gli1 Expression Independent of Canonical Hedgehog Signaling. Molecular Cancer Research. 11(10). 1215–1222. 36 indexed citations
15.
Gurung, Buddha, Zijie Feng, Daniel V. Iwamoto, et al.. (2013). Menin Epigenetically Represses Hedgehog Signaling in MEN1 Tumor Syndrome. Cancer Research. 73(8). 2650–2658. 79 indexed citations
16.
Feng, Zijie, Buddha Gurung, Guang‐Hui Jin, Xiaolu Yang, & Xianxin Hua. (2013). SUMO modification of menin.. PubMed. 3(1). 96–106. 12 indexed citations
17.
Huang, Jing, Buddha Gurung, Bingbing Wan, et al.. (2012). The same pocket in menin binds both MLL and JUND but has opposite effects on transcription. Nature. 482(7386). 542–546. 220 indexed citations
18.
Aggarwal, Priya, Laura Pontano Vaites, J. Kim, et al.. (2010). Nuclear Cyclin D1/CDK4 Kinase Regulates CUL4 Expression and Triggers Neoplastic Growth via Activation of the PRMT5 Methyltransferase. Cancer Cell. 18(4). 329–340. 195 indexed citations
19.
Yang, Yuqing, Buddha Gurung, Ting Wu, et al.. (2010). Reversal of preexisting hyperglycemia in diabetic mice by acute deletion of the Men1 gene. Proceedings of the National Academy of Sciences. 107(47). 20358–20363. 41 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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