Daniel J. Goldberg
- Cellular and Molecular Neuroscience top 2%
- Cell Biology top 1%
- Molecular Biology
- Developmental Neuroscience top 2%
- Immunology and Allergy top 5%
- Co-authors
- Donald W. BurmeisterPeter GrabhamJames H. SchwartzDong WuSamuel SchacherRodolfo J. RivasRichard B. ValleeMalika Bennecib
- Topics
- Cellular Mechanics and Interactions (15 papers)Axon Guidance and Neuronal Signaling (10 papers)Microtubule and mitosis dynamics (9 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Daniel J. Goldberg
40 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 98
- Cellular and Molecular Neuroscience 894
- Cell Biology 794
- Molecular Biology 574
- Developmental Neuroscience 182
- Immunology and Allergy 144
Countries citing papers authored by Daniel J. Goldberg
This map shows the geographic impact of Daniel J. 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 Daniel J. Goldberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Goldberg more than expected).
Fields of papers citing papers by Daniel J. Goldberg
This network shows the impact of papers produced by Daniel J. 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 Daniel J. Goldberg. The network helps show where Daniel J. Goldberg may publish in the future.
Co-authorship network of co-authors of Daniel J. Goldberg
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Goldberg. A scholar is included among the top collaborators of Daniel J. 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 Daniel J. Goldberg. Daniel J. 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 | PMLB v1.0: an open source dataset collection for benchmarking machine learning methods | 0 |
| 2 | 38 | |
| 3 | 122 | |
| 4 | 15 | |
| 5 | 81 | |
| 6 | 29 | |
| 7 | 30 | |
| 8 | 74 | |
| 9 | 32 | |
| 10 | 33 | |
| 11 | 43 | |
| 12 | 23 | |
| 13 | 94 | |
| 14 | 38 | |
| 15 | 11 | |
| 16 | 5 | |
| 17 | 11 | |
| 18 | 39 | |
| 19 | 51 | |
| 20 | 17 |
About Daniel J. Goldberg
Daniel J. Goldberg is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Immunology and Allergy, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (15 papers), Axon Guidance and Neuronal Signaling (10 papers) and Microtubule and mitosis dynamics (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (894 citations), Cell Biology (794 citations) and Developmental Neuroscience (182 citations). Daniel J. Goldberg has collaborated with scholars based in United States and Canada. Frequent co-authors include Donald W. Burmeister, Peter Grabham, James H. Schwartz, Dong Wu, Samuel Schacher, Rodolfo J. Rivas, Richard B. Vallee, Malika Bennecib, Fang Wu and Dongjiang Tang. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Neuron.
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.