Nicholas Boyd

605 total citations
12 papers, 286 citations indexed

About

Nicholas Boyd is a scholar working on Oncology, Computational Mechanics and Immunology. According to data from OpenAlex, Nicholas Boyd has authored 12 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Computational Mechanics and 3 papers in Immunology. Recurrent topics in Nicholas Boyd's work include CAR-T cell therapy research (4 papers), Sparse and Compressive Sensing Techniques (3 papers) and Immune Cell Function and Interaction (3 papers). Nicholas Boyd is often cited by papers focused on CAR-T cell therapy research (4 papers), Sparse and Compressive Sensing Techniques (3 papers) and Immune Cell Function and Interaction (3 papers). Nicholas Boyd collaborates with scholars based in United States, Australia and Switzerland. Nicholas Boyd's co-authors include Benjamin Recht, Geoffrey Schiebinger, Michael I. Jordan, Ashia Wilson, Tamara Broderick, Andre Wibisono, Richard L. Boyd, Alan Trounson, John M. Haynes and Edouard G. Stanley and has published in prestigious journals such as Soft Matter, Cells and SIAM Journal on Optimization.

In The Last Decade

Nicholas Boyd

12 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas Boyd United States	9	82	62	49	40	38	12	286
Wenhao Xu China	11	55 0.7×	30 0.5×	53 1.1×	8 0.2×	30 0.8×	22	391
Kwang Bok Lee South Korea	17	55 0.7×	23 0.4×	65 1.3×	25 0.6×	46 1.2×	87	832
Hang Gao China	12	89 1.1×	30 0.5×	16 0.3×	53 1.3×	7 0.2×	73	504
Ailing Tian China	13	62 0.8×	97 1.6×	29 0.6×	27 0.7×	22 0.6×	61	646
Jung-Hoon Kim South Korea	12	70 0.9×	29 0.5×	56 1.1×	8 0.2×	28 0.7×	57	475
Thomas Chen United States	13	157 1.9×	91 1.5×	7 0.1×	56 1.4×	14 0.4×	20	498
Duc Minh Pham Australia	11	92 1.1×	22 0.4×	7 0.1×	5 0.1×	75 2.0×	21	472
Charnchai Pluempitiwiriyawej Thailand	9	96 1.2×	92 1.5×	6 0.1×	15 0.4×	11 0.3×	26	500
Hyun-Sang Park South Korea	10	58 0.7×	61 1.0×	10 0.2×	6 0.1×	4 0.1×	40	330

Countries citing papers authored by Nicholas Boyd

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas Boyd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Boyd

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Truong, Vinh X., et al.. (2022). Micro-hydrogel injectables that deliver effective CAR-T immunotherapy against 3D solid tumor spheroids. Translational Oncology. 24. 101477–101477. 20 indexed citations

2.

Boyd, Nicholas, Kellie Cartledge, Huimin Cao, et al.. (2021). ‘Off-the-Shelf’ Immunotherapy: Manufacture of CD8+ T Cells Derived from Hematopoietic Stem Cells. Cells. 10(10). 2631–2631. 12 indexed citations

3.

Pupovac, Aleta, et al.. (2021). Enhancing a Natural Killer: Modification of NK Cells for Cancer Immunotherapy. Cells. 10(5). 1058–1058. 26 indexed citations

4.

Boyd, Nicholas, Kellie Cartledge, Min Cao, et al.. (2020). Off-the-shelf ipsc derived car-nk immunotherapy for solid tumors. Cytotherapy. 22(5). S199–S199. 4 indexed citations

5.

Boyd, Nicholas, et al.. (2020). Augmented Reality: Telehealth Demonstration Application. Practice and Experience in Advanced Research Computing. 452–455. 2 indexed citations

6.

Boyd, Nicholas, Trevor Hastie, Stephen Boyd, Benjamin Recht, & Michael I. Jordan. (2018). Saturating Splines and Feature Selection.. PubMed. 18. 8 indexed citations

7.

Boyd, Nicholas, Wei Chang, & Jie Wu. (2017). Crowdsourcing-Based Musical Predictions. 126. 502–506. 1 indexed citations

8.

Boyd, Nicholas, Geoffrey Schiebinger, & Benjamin Recht. (2017). The Alternating Descent Conditional Gradient Method for Sparse Inverse Problems. SIAM Journal on Optimization. 27(2). 616–639. 72 indexed citations

9.

Boyd, Nicholas, Geoffrey Schiebinger, & Benjamin Recht. (2015). The alternating descent conditional gradient method for sparse inverse problems. 57–60. 13 indexed citations

10.

Broderick, Tamara, Nicholas Boyd, Andre Wibisono, Ashia Wilson, & Michael I. Jordan. (2013). Streaming Variational Bayes. arXiv (Cornell University). 26. 1727–1735. 65 indexed citations

11.

Chen, Qizhi, Liyu Jin, Wayne D. Cook, et al.. (2010). Elastomeric nanocomposites as cell delivery vehicles and cardiac support devices. Soft Matter. 6(19). 4715–4715. 55 indexed citations

12.

Aswani, Anil, Nicholas Boyd, & Claire J. Tomlin. (2009). Graph-theoretic topological control of biological genetic networks. 90. 1700–1705. 8 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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