Ross D. Jones

446 total citations
12 papers, 248 citations indexed

About

Ross D. Jones is a scholar working on Molecular Biology, Biomedical Engineering and Oncology. According to data from OpenAlex, Ross D. Jones has authored 12 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Biomedical Engineering and 1 paper in Oncology. Recurrent topics in Ross D. Jones's work include CRISPR and Genetic Engineering (6 papers), Pluripotent Stem Cells Research (5 papers) and Gene Regulatory Network Analysis (5 papers). Ross D. Jones is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), Pluripotent Stem Cells Research (5 papers) and Gene Regulatory Network Analysis (5 papers). Ross D. Jones collaborates with scholars based in United States, Canada and Switzerland. Ross D. Jones's co-authors include Ron Weiss, Domitilla Del Vecchio, Jin Huh, Breanna DiAndreth, Yili Qian, Nika Shakiba, Velia Siciliano, Benjamin Wang, Daniel A. Anderson and Peter W. Zandstra and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Cell stem cell.

In The Last Decade

Ross D. Jones

10 papers receiving 247 citations

Peers

Ross D. Jones

MB

BE

GENET

ONCOL

CR

Mariana Gómez-Schiavon United States

Graham Heimberg United States

Scott Ronquist United States

Kazuaki Tokunaga Japan

Doron Stupp Israel

Kate E. Galloway United States

Rakefet Ben-Yishay Israel

Daniel Mamott United States

Jin Huh United States

Ruian Yang China

Mariana Gómez-Schiavon United States

Ross D. Jones

285 ×1.3

MB

27 ×0.8

BE

61 ×1.8

GENET

12 ×0.5

ONCOL

7 ×0.4

CR

Citations per year, relative to Ross D. Jones Ross D. Jones (= 1×) peers Mariana Gómez-Schiavon

Countries citing papers authored by Ross D. Jones

Since Specialization

Citations

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

Fields of papers citing papers by Ross D. Jones

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ross D. Jones. 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 Ross D. Jones. The network helps show where Ross D. Jones may publish in the future.

Co-authorship network of co-authors of Ross D. Jones

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

All Works

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12 of 12 papers shown

1.

Jones, Ross D., et al.. (2026). Tunable differentiation of human CD4+ and CD8+ T cells from pluripotent stem cells. Cell stem cell. 33(1). 73–90.e14.

2.

Wang, Yu Xin, Ross D. Jones, Helen M. Blau, et al.. (2024). Sex-biased human thymic architecture guides T cell development through spatially defined niches. Developmental Cell. 60(1). 152–169.e8. 9 indexed citations

3.

Jones, Ross D., et al.. (2024). T-Cell Differentiation from Hematopoietic Progenitor Cells Using 3D Thymic-like Hydrogels. 3(3). 136–151.

4.

Shakiba, Nika, Ross D. Jones, Michael M. Kaminski, et al.. (2023). Synthetic genetic circuits to uncover the OCT4 trajectories of successful reprogramming of human fibroblasts. Science Advances. 9(48). eadg8495–eadg8495. 10 indexed citations

5.

Prochazka, Laura, Yale S. Michaels, Ross D. Jones, et al.. (2022). Synthetic gene circuits for cell state detection and protein tuning in human pluripotent stem cells. Molecular Systems Biology. 18(11). e10886–e10886. 9 indexed citations

6.

Jones, Ross D., Yili Qian, Benjamin Wang, et al.. (2022). Robust and tunable signal processing in mammalian cells via engineered covalent modification cycles. Nature Communications. 13(1). 1720–1720. 22 indexed citations

7.

Kaul, Himanshu, Ross D. Jones, Mukul Tewary, et al.. (2022). Virtual cells in a virtual microenvironment recapitulate early development-like patterns in human pluripotent stem cell colonies. Stem Cell Reports. 18(1). 377–393. 12 indexed citations

8.

Shakiba, Nika, Ross D. Jones, Ron Weiss, & Domitilla Del Vecchio. (2021). Context-aware synthetic biology by controller design: Engineering the mammalian cell. Cell Systems. 12(6). 561–592. 46 indexed citations

9.

Jones, Ross D., Yili Qian, Velia Siciliano, et al.. (2020). An endoribonuclease-based feedforward controller for decoupling resource-limited genetic modules in mammalian cells. Nature Communications. 11(1). 5690–5690. 79 indexed citations

10.

DiAndreth, Breanna, et al.. (2019). A ‘poly-transfection’ method for rapid, one-pot characterization and optimization of genetic systems. Nucleic Acids Research. 47(18). e106–e106. 31 indexed citations

11.

Anderson, Daniel A., Ross D. Jones, Adam P. Arkin, & Ron Weiss. (2019). Principles of synthetic biology: a MOOC for an emerging field. PubMed. 4(1). ysz010–ysz010. 10 indexed citations

12.

Sperber, Henrik, Ross D. Jones, Yu Chen, et al.. (2014). miRNA sensitivity to Drosha levels correlates with pre-miRNA secondary structure. RNA. 20(5). 621–631. 20 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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