James J. Hickman
- Biomedical Engineering top 0.2%
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 0.5%
- Electrical and Electronic Engineering top 2%
- Materials Chemistry top 5%
- Co-authors
- Michael L. ShulerMandy B. EschBalaji SrinivasanThomas BolandAditya Reddy KolliHasan Erbil AbaciTao XuMainak Das
- Topics
- Neuroscience and Neural Engineering (68 papers)3D Printing in Biomedical Research (53 papers)Pluripotent Stem Cells Research (17 papers)
- Partner nations
- United StatesGermanyHungary
In The Last Decade
James J. Hickman
174 papers receiving 9.7k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Biomedical Engineering 5.2k
- Molecular Biology 2.6k
- Cellular and Molecular Neuroscience 2.1k
- Electrical and Electronic Engineering 1.6k
- Materials Chemistry 1.0k
Countries citing papers authored by James J. Hickman
This map shows the geographic impact of James J. Hickman'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 James J. Hickman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James J. Hickman more than expected).
Fields of papers citing papers by James J. Hickman
This network shows the impact of papers produced by James J. Hickman. 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 James J. Hickman. The network helps show where James J. Hickman may publish in the future.
Co-authorship network of co-authors of James J. Hickman
This figure shows the co-authorship network connecting the top 25 collaborators of James J. Hickman. A scholar is included among the top collaborators of James J. Hickman 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 James J. Hickman. James J. Hickman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 29 | |
| 4 | 2 | |
| 5 | 141 | |
| 6 | 71 | |
| 7 | 186 | |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 26 | |
| 11 | 123 | |
| 12 | 60 | |
| 13 | 18 | |
| 14 | 18 | |
| 15 | 1 | |
| 16 | 18 | |
| 17 | 70 | |
| 18 | 20 | |
| 19 | Inkjet printing for high-throughput cell patterningbreakdown → | 521 |
| 20 | 99 |
About James J. Hickman
James J. Hickman is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Biomedical Engineering, having authored 180 papers that have together received 9.9k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (68 papers), 3D Printing in Biomedical Research (53 papers) and Pluripotent Stem Cells Research (17 papers). The work is most often cited by research in Biomedical Engineering (5.2k citations), Cellular and Molecular Neuroscience (2.1k citations) and Automotive Engineering (653 citations). James J. Hickman has collaborated with scholars based in United States, Germany and Hungary. Frequent co-authors include Michael L. Shuler, Mandy B. Esch, Balaji Srinivasan, Thomas Boland, Aditya Reddy Kolli, Hasan Erbil Abaci, Tao Xu, Mainak Das, Péter Molnár and Cassie Gregory. Their work appears in journals such as Science, Journal of the American Chemical Society and Applied Physics Letters.
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.