Seth Goldman

1.2k total citations
30 papers, 780 citations indexed

About

Seth Goldman is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Seth Goldman has authored 30 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Genetics and 6 papers in Artificial Intelligence. Recurrent topics in Seth Goldman's work include RNA and protein synthesis mechanisms (12 papers), Bacterial Genetics and Biotechnology (9 papers) and RNA modifications and cancer (4 papers). Seth Goldman is often cited by papers focused on RNA and protein synthesis mechanisms (12 papers), Bacterial Genetics and Biotechnology (9 papers) and RNA modifications and cancer (4 papers). Seth Goldman collaborates with scholars based in United States, United Kingdom and Italy. Seth Goldman's co-authors include Bryce E. Nickels, Richard H. Ebright, Irina O. Vvedenskaya, Simon L. Dove, Jonathan Livny, Marcia B. Goldberg, Josh S. Sharp, Yu Zhang, Hanif Vahedian-Movahed and Jeremy G. Bird and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

Seth Goldman

28 papers receiving 759 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seth Goldman United States 15 549 319 144 86 74 30 780
A. Malcolm Campbell United States 18 491 0.9× 117 0.4× 76 0.5× 36 0.4× 14 0.2× 50 869
Jane M. Liu United States 10 261 0.5× 104 0.3× 100 0.7× 64 0.7× 4 0.1× 17 405
Isaac Turner United Kingdom 9 588 1.1× 413 1.3× 94 0.7× 17 0.2× 68 0.9× 12 897
Diana Quinn Australia 12 272 0.5× 133 0.4× 60 0.4× 35 0.4× 3 0.0× 35 601
Benjamin L. Moore United Kingdom 10 720 1.3× 295 0.9× 65 0.5× 11 0.1× 38 0.5× 11 944
K. Mizutani Japan 12 355 0.6× 94 0.3× 75 0.5× 73 0.8× 16 0.2× 23 532
Mark Roberts United Kingdom 13 212 0.4× 125 0.4× 59 0.4× 22 0.3× 12 0.2× 33 542
Nicholas Stoler United States 8 499 0.9× 139 0.4× 73 0.5× 18 0.2× 14 0.2× 11 695
William Baker United States 4 614 1.1× 87 0.3× 116 0.8× 8 0.1× 43 0.6× 11 826
Chongyi Chen United States 6 854 1.6× 357 1.1× 160 1.1× 19 0.2× 12 0.2× 9 986

Countries citing papers authored by Seth Goldman

Since Specialization
Citations

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

Fields of papers citing papers by Seth Goldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seth Goldman

This figure shows the co-authorship network connecting the top 25 collaborators of Seth Goldman. A scholar is included among the top collaborators of Seth Goldman 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 Seth Goldman. Seth Goldman 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.
El-Brolosy, Mohamed A., Reuben A. Saunders, Jingchuan Luo, et al.. (2026). Mechanisms linking cytoplasmic decay of translation-defective mRNA to transcriptional adaptation. Science. 391(6786). eaea1272–eaea1272.
2.
Martin-Rufino, Jorge D., Alexis Caulier, Seth Goldman, et al.. (2025). Transcription factor networks disproportionately enrich for heritability of blood cell phenotypes. Science. 388(6742). 52–59. 1 indexed citations
3.
Shirole, Nitin H., Yenarae Lee, Amy Goodale, et al.. (2025). Requirement for Cyclin D1 Underlies Cell-Autonomous HIF2 Dependence in Kidney Cancer. Cancer Discovery. 15(7). 1484–1504. 2 indexed citations
4.
Seo, Ji-Heui, Claudia Giambartolomei, Geoffrey M. Nelson, et al.. (2024). Decoding the epigenetics and chromatin loop dynamics of androgen receptor-mediated transcription. Nature Communications. 15(1). 9494–9494. 4 indexed citations
5.
Zhao, Jiawei, Liam D. Cato, Erik L. Bao, et al.. (2024). Inherited blood cancer predisposition through altered transcription elongation. Cell. 187(3). 642–658.e19. 13 indexed citations
6.
Mehta, Stuti, Kai Yan, Özge Karayel, et al.. (2022). Temporal resolution of gene derepression and proteome changes upon PROTAC-mediated degradation of BCL11A protein in erythroid cells. Cell chemical biology. 29(8). 1273–1287.e8. 23 indexed citations
7.
Čermáková, Kateřina, Jonas Demeulemeester, Vanda Lux, et al.. (2021). A ubiquitous disordered protein interaction module orchestrates transcription elongation. Science. 374(6571). 1113–1121. 42 indexed citations
8.
Ritso, Morten, Geoffrey M. Nelson, Zeinab Mokhtari, et al.. (2021). Negative elongation factor regulates muscle progenitor expansion for efficient myofiber repair and stem cell pool repopulation. Developmental Cell. 56(7). 1014–1029.e7. 19 indexed citations
9.
Vvedenskaya, Irina O., Seth Goldman, & Bryce E. Nickels. (2018). Analysis of Bacterial Transcription by “Massively Systematic Transcript End Readout,” MASTER. Methods in enzymology on CD-ROM/Methods in enzymology. 612. 269–302. 6 indexed citations
10.
Vvedenskaya, Irina O., Yuanchao Zhang, Seth Goldman, et al.. (2015). Massively Systematic Transcript End Readout, “MASTER”: Transcription Start Site Selection, Transcriptional Slippage, and Transcript Yields. Molecular Cell. 60(6). 953–965. 52 indexed citations
11.
Tran, Ngat T., et al.. (2015). A Conserved Pattern of Primer-Dependent Transcription Initiation in Escherichia coli and Vibrio cholerae Revealed by 5′ RNA-seq. PLoS Genetics. 11(7). e1005348–e1005348. 16 indexed citations
12.
Vvedenskaya, Irina O., Josh S. Sharp, Seth Goldman, et al.. (2012). Growth phase-dependent control of transcription start site selection and gene expression by nanoRNAs. Genes & Development. 26(13). 1498–1507. 38 indexed citations
13.
Goldman, Seth, Josh S. Sharp, Irina O. Vvedenskaya, et al.. (2011). NanoRNAs Prime Transcription Initiation In Vivo. Molecular Cell. 42(6). 817–825. 95 indexed citations
14.
Goldman, Seth, Richard H. Ebright, & Bryce E. Nickels. (2009). Direct Detection of Abortive RNA Transcripts in Vivo. Science. 324(5929). 927–928. 90 indexed citations
15.
Lehnert, W., Joseph F. McCarthy, Stephen Soderland, et al.. (1993). UMass/Hughes. 277–277. 36 indexed citations
16.
Lehnert, W., Joseph F. McCarthy, Stephen Soderland, et al.. (1993). UMass/Hughes. 241–241. 3 indexed citations
17.
Goldman, Seth, et al.. (1991). Hughes Trainable Text Skimmer. 76–76. 1 indexed citations
18.
Goldman, Seth, et al.. (1991). Hughes Trainable Text Skimmer. 155–155. 6 indexed citations
19.
Taylor, Charles E., David Jefferson, Raymond Scott Turner, & Seth Goldman. (1987). RAM: Artificial Life for the Exploration of Complex Biological Systems.. Artificial Life. 275–296. 22 indexed citations
20.
Goldman, Seth, et al.. (1987). Precedent-based legal reasoning and knowledge acquisition in contract law: A process model. 210–221. 11 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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