Seth Goldman

1.2k citations
30 papers · 800 · h-index 15

Impact in

    • Escherichia coli research studies
  • Genetics top 5%
    • Bacterial Genetics and Biotechnology

Papers in

    • RNA and protein synthesis mechanisms 12
    • RNA Research and Splicing 4
    • RNA modifications and cancer 4
    • RNA Interference and Gene Delivery 3
    • Bacterial Genetics and Biotechnology 9

Seth Goldman

28 papers receiving 779 citations

Peers

Seth Goldman
Comparison fields: 5 of 97
  • Endocrinology 81
  • Genetics 316
  • Molecular Biology 547
  • Molecular Medicine 29
  • Ecology 140
Replace A. Malcolm Campbell with:
A. Malcolm Campbell United States
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Aziz Taghbalout United States
Isaac Turner United Kingdom
K. Mizutani Japan
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Panos Oikonomou United States
Benjamin L. Moore United Kingdom
Brigitte D. Lavoie Canada
Leonardo A. Sepúlveda United States
Seth Goldman relative to A. Malcolm Campbell United States A. Malcolm Campbell's profile →
Citations per field
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A. Malcolm Campbell · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Seth Goldman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Seth Goldman Line = papers co-authored together Seth Goldman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014138
2 201196
3 200992
4 201554
5 200444
6 202144
7
Extending capacity-constrained construction integration: Toward "smarter" and flexible models of text comprehension
199641
8 201239
9 199336
10 202226
11
RAM: Artificial Life for the Exploration of Complex Biological Systems.
198722
12 201521
13 200821
14 202120
15 201516
16 200514
17 202414
18 201513
19 198711
20 20238

About Seth Goldman

Seth Goldman is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Information Systems and Endocrinology, having authored 30 papers that have together received 800 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (12 papers), Bacterial Genetics and Biotechnology (9 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (4 papers), Data Mining Algorithms and Applications (3 papers), RNA Interference and Gene Delivery (3 papers), Natural Language Processing Techniques (3 papers) and Escherichia coli research studies (3 papers). The work is most often cited by research in Endocrinology (81 citations), Genetics (316 citations), Molecular Biology (547 citations), Molecular Medicine (29 citations) and Ecology (140 citations). Seth Goldman has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Bryce E. Nickels, Richard H. Ebright, Irina O. Vvedenskaya, Simon L. Dove, Marcia B. Goldberg, Jonathan Livny, Josh S. Sharp, Hanif Vahedian-Movahed, Yu Zhang and Jeremy G. Bird. Their work appears in journals such as Science, Molecular Cell, Journal of Bacteriology, Nature Communications and Developmental Cell.

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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