Daniel B. Goodman

5.2k total citations · 2 hit papers
36 papers, 3.1k citations indexed

About

Daniel B. Goodman is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Daniel B. Goodman has authored 36 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 9 papers in Genetics and 8 papers in Oncology. Recurrent topics in Daniel B. Goodman's work include CRISPR and Genetic Engineering (11 papers), RNA and protein synthesis mechanisms (7 papers) and CAR-T cell therapy research (7 papers). Daniel B. Goodman is often cited by papers focused on CRISPR and Genetic Engineering (11 papers), RNA and protein synthesis mechanisms (7 papers) and CAR-T cell therapy research (7 papers). Daniel B. Goodman collaborates with scholars based in United States, France and United Kingdom. Daniel B. Goodman's co-authors include George M. Church, Sriram Kosuri, Farren J. Isaacs, Peter A. Carr, Harris H. Wang, Joseph M. Jacobson, Joshua A. Mosberg, Gleb Kuznetsov, J. G. Lajoie and Nadin Rohland and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Daniel B. Goodman

33 papers receiving 3.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genomically Recoded Organisms Expand Biological Functions

2013 645 citations J. G. Lajoie, Alexis J. Rovner et al. Science profile →
Naturally occurring T cell mutations enhance engineered T cell therapies

2024 46 citations Julie Garcia, Jay Daniels et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel B. Goodman United States	20	2.5k	914	317	275	247	36	3.1k
Richard P. Bowater United Kingdom	30	2.6k 1.0×	580 0.6×	267 0.8×	87 0.3×	217 0.9×	72	2.9k
N. Burgess-Brown United Kingdom	22	2.0k 0.8×	278 0.3×	369 1.2×	116 0.4×	74 0.3×	42	2.6k
Gavin R. Schnitzler United States	22	2.7k 1.1×	790 0.9×	169 0.5×	84 0.3×	119 0.5×	40	3.3k
Françoise Rousseau-Hans Belgium	6	2.0k 0.8×	435 0.5×	146 0.5×	62 0.2×	81 0.3×	8	2.6k
Cristian Ruse United States	22	2.3k 0.9×	188 0.2×	157 0.5×	141 0.5×	57 0.2×	41	2.9k
Pierre Colas France	24	1.4k 0.6×	161 0.2×	354 1.1×	118 0.4×	107 0.4×	61	2.0k
C. Mark Smales United Kingdom	32	2.6k 1.0×	438 0.5×	131 0.4×	44 0.2×	126 0.5×	115	3.4k
Emmanuel Skordalakes United States	29	2.1k 0.8×	282 0.3×	193 0.6×	36 0.1×	143 0.6×	58	2.9k
Garwin Pichler Germany	12	2.7k 1.1×	264 0.3×	177 0.6×	76 0.3×	37 0.1×	15	3.4k
Liwen Niu China	30	2.3k 0.9×	739 0.8×	218 0.7×	28 0.1×	72 0.3×	154	3.0k

Countries citing papers authored by Daniel B. Goodman

Since Specialization

Citations

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

Fields of papers citing papers by Daniel B. Goodman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel B. Goodman. 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 Daniel B. Goodman. The network helps show where Daniel B. Goodman may publish in the future.

Co-authorship network of co-authors of Daniel B. Goodman

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

All Works

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20 of 20 papers shown

Chang, Christopher, Vivasvan S. Vykunta, Lian Li, et al.. (2025). SEED-Selection enables high-efficiency enrichment of primary T cells edited at multiple loci. Nature Biotechnology. 43(12). 2043–2053.

Garcia, Julie, Jay Daniels, Iowis Zhu, et al.. (2023). Naturally Occurring Mutations in Human T Cell Lymphomas Enhance Engineered T Cell Therapies. Blood. 142(Supplement 1). 884–884.

Goodman, Daniel B., Camillia S. Azimi, Alexis Talbot, et al.. (2022). Pooled screening of CAR T cells identifies diverse immune signaling domains for next-generation immunotherapies. Science Translational Medicine. 14(670). eabm1463–eabm1463. 51 indexed citations

Bucktrout, Samantha, Nicholas E. Banovich, Lisa H. Butterfield, et al.. (2022). Advancing T cell–based cancer therapy with single-cell technologies. Nature Medicine. 28(9). 1761–1764. 2 indexed citations

Schubert, Max G., Daniel B. Goodman, Timothy M. Wannier, et al.. (2021). High-throughput functional variant screens via in vivo production of single-stranded DNA. Proceedings of the National Academy of Sciences. 118(18). 71 indexed citations

Agur, Timna, Johannes Wedel, Sayantan Bose, et al.. (2021). Inhibition of mevalonate metabolism by statins augments the immunoregulatory phenotype of vascular endothelial cells and inhibits the costimulation of CD4+ T cells. American Journal of Transplantation. 22(3). 947–954. 6 indexed citations

Roth, Theodore L., P. Jonathan Li, Franziska Blaeschke, et al.. (2020). Pooled Knockin Targeting for Genome Engineering of Cellular Immunotherapies. Cell. 181(3). 728–744.e21. 130 indexed citations

Nguyen, David N., Theodore L. Roth, P. Jonathan Li, et al.. (2019). Polymer-stabilized Cas9 nanoparticles and modified repair templates increase genome editing efficiency. Nature Biotechnology. 38(1). 44–49. 194 indexed citations

Chan, Yingleong, Ying Chan, Daniel B. Goodman, et al.. (2018). Enabling multiplexed testing of pooled donor cells through whole-genome sequencing. Genome Medicine. 10(1). 31–31. 7 indexed citations

10.

Chong, Rockie, Kimberly D. Insigne, David Yao, et al.. (2018). A Multiplexed Assay for Exon Recognition Reveals that an Unappreciated Fraction of Rare Genetic Variants Cause Large-Effect Splicing Disruptions. Molecular Cell. 73(1). 183–194.e8. 69 indexed citations

11.

Kuznetsov, Gleb, Daniel B. Goodman, Gabriel Filsinger, et al.. (2017). Optimizing complex phenotypes through model-guided multiplex genome engineering. Genome biology. 18(1). 100–100. 23 indexed citations

12.

Zhou, Xiaofei, John Nemunaitis, Shubham Pant, et al.. (2017). Effect of alisertib, an investigational aurora a kinase inhibitor on the QTc interval in patients with advanced malignancies. Investigational New Drugs. 36(2). 240–247. 6 indexed citations

13.

Goodman, Daniel B., Gleb Kuznetsov, Marc J. Lajoie, et al.. (2017). Millstone: software for multiplex microbial genome analysis and engineering. Genome biology. 18(1). 101–101. 3 indexed citations

14.

Napolitano, Michael G., Matthieu Landon, Christopher Gregg, et al.. (2016). Emergent rules for codon choice elucidated by editing rare arginine codons in Escherichia coli. Proceedings of the National Academy of Sciences. 113(38). 45 indexed citations

15.

Yang, Luhan, Adrian W. Briggs, Wei Leong Chew, et al.. (2016). Engineering and optimising deaminase fusions for genome editing. Nature Communications. 7(1). 13330–13330. 61 indexed citations

16.

Lajoie, J. G., Alexis J. Rovner, Daniel B. Goodman, et al.. (2013). Genomically Recoded Organisms Expand Biological Functions. Science. 342(6156). 357–360. 645 indexed citations breakdown →

17.

Goodman, Daniel B., George M. Church, & Sriram Kosuri. (2013). Causes and Effects of N-Terminal Codon Bias in Bacterial Genes. Science. 342(6157). 475–479. 420 indexed citations

18.

Campomanes, Alejandra G. de Alba, Tina Rutar, Joanna Crawford, et al.. (2009). Crystal-Storing Histiocytosis and Crystalline Keratopathy Caused by Monoclonal Gammopathy of Undetermined Significance. Cornea. 28(9). 1081–1084. 22 indexed citations

19.

Mason, Jay W., et al.. (2007). Electrocardiographic reference ranges derived from 79,743 ambulatory subjects. Journal of Electrocardiology. 40(3). 228–234.e8. 253 indexed citations

20.

Pirovano, Gianpaolo, et al.. (2004). Cardiac Electrophysiologic Monitoring after Injection of Gadobenate Dimeglumine versus Placebo in Healthy Volunteers and Patients with Cardiovascular Disease. Radiology. 233(2). 555–565. 7 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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