J. Paul Robinson
- Molecular Biology top 2%
- Biomedical Engineering top 0.5%
- Biophysics top 0.1%
- Immunology top 2%
- Materials Chemistry top 5%
- Co-authors
- Bartek RajwaKathy RaghebJennifer SturgisJennie SturgisLiana C. SayerSuzanne M. BianchiWayne O. CarterSherry L. Voytik‐Harbin
- Topics
- Cell Image Analysis Techniques (62 papers)Biosensors and Analytical Detection (33 papers)Single-cell and spatial transcriptomics (24 papers)
- Partner nations
- United StatesPolandNew Zealand
In The Last Decade
J. Paul Robinson
239 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 213
- Molecular Biology 3.1k
- Biomedical Engineering 2.7k
- Biophysics 1.0k
- Immunology 977
- Materials Chemistry 962
Countries citing papers authored by J. Paul Robinson
This map shows the geographic impact of J. Paul Robinson'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 J. Paul Robinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Paul Robinson more than expected).
Fields of papers citing papers by J. Paul Robinson
This network shows the impact of papers produced by J. Paul Robinson. 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 J. Paul Robinson. The network helps show where J. Paul Robinson may publish in the future.
Co-authorship network of co-authors of J. Paul Robinson
This figure shows the co-authorship network connecting the top 25 collaborators of J. Paul Robinson. A scholar is included among the top collaborators of J. Paul Robinson 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 J. Paul Robinson. J. Paul Robinson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 10 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 29 | |
| 10 | 5 | |
| 11 | 23 | |
| 12 | 27 | |
| 13 | Mouse and human islets survive and function after coating by biosilicification | 2 |
| 14 | 1 | |
| 15 | 38 | |
| 16 | Emerging tools for single-cell analysis: advances in optical measurement technologies | 21 |
| 17 | Phagocyte function : a guide for research and clinical evaluation | 31 |
| 18 | 9 | |
| 19 | 10 | |
| 20 | 47 |
About J. Paul Robinson
J. Paul Robinson is a scholar working on Biophysics, Endocrinology and Biotechnology, having authored 249 papers that have together received 10.6k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (62 papers), Biosensors and Analytical Detection (33 papers) and Single-cell and spatial transcriptomics (24 papers). The work is most often cited by research in Biophysics (1.0k citations), Biomaterials (899 citations) and Biomedical Engineering (2.7k citations). J. Paul Robinson has collaborated with scholars based in United States, Poland and New Zealand. Frequent co-authors include Bartek Rajwa, Kathy Ragheb, Jennifer Sturgis, Jennie Sturgis, Liana C. Sayer, Suzanne M. Bianchi, Wayne O. Carter, Sherry L. Voytik‐Harbin, Gretchen Lawler and J. Andrés Melendez. Their work appears in journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.
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.