Debra S. Goldberg
- Molecular Biology top 5%
- Computational Theory and Mathematics top 1%
- Genetics top 10%
- Statistical and Nonlinear Physics top 5%
- Ecology top 10%
- Co-authors
- Frederick P. RothLan V. ZhangMarc VidalNicolas BertinGabriel F. BerrizTong HaoAlbertha J.M. WalhoutMichael E. Cusick
- Topics
- Bioinformatics and Genomic Networks (12 papers)Microbial Metabolic Engineering and Bioproduction (7 papers)Computational Drug Discovery Methods (4 papers)
- Partner nations
- United StatesCanadaBelgium
In The Last Decade
Debra S. Goldberg
21 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 2.0k
- Computational Theory and Mathematics 355
- Genetics 236
- Statistical and Nonlinear Physics 208
- Ecology 159
Countries citing papers authored by Debra S. Goldberg
This map shows the geographic impact of Debra S. Goldberg'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 Debra S. Goldberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debra S. Goldberg more than expected).
Fields of papers citing papers by Debra S. Goldberg
This network shows the impact of papers produced by Debra S. Goldberg. 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 Debra S. Goldberg. The network helps show where Debra S. Goldberg may publish in the future.
Co-authorship network of co-authors of Debra S. Goldberg
This figure shows the co-authorship network connecting the top 25 collaborators of Debra S. Goldberg. A scholar is included among the top collaborators of Debra S. Goldberg 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 Debra S. Goldberg. Debra S. Goldberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 27 | |
| 5 | 12 | |
| 6 | 28 | |
| 7 | 18 | |
| 8 | 30 | |
| 9 | 21 | |
| 10 | 12 | |
| 11 | 8 | |
| 12 | 194 | |
| 13 | 134 | |
| 14 | Evidence for dynamically organized modularity in the yeast protein–protein interaction networkbreakdown → | 1301 |
| 15 | 175 | |
| 16 | 281 | |
| 17 | Algorithms for the construction of comparative genome maps | 1 |
| 18 | 8 | |
| 19 | 179 | |
| 20 | 15 |
About Debra S. Goldberg
Debra S. Goldberg is a scholar working on Aging, Computer Science Applications and Computational Theory and Mathematics, having authored 21 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (12 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Aging (73 citations), Molecular Biology (2.0k citations) and Computational Theory and Mathematics (355 citations). Debra S. Goldberg has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Frederick P. Roth, Lan V. Zhang, Marc Vidal, Nicolas Bertin, Gabriel F. Berriz, Tong Hao, Albertha J.M. Walhout, Michael E. Cusick, Denis Dupuy and Jing‐Dong J. Han. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Bioinformatics.
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.