Neal Schilling
About
In The Last Decade
Neal Schilling
7 papers receiving 312 citations
Peers
Comparison fields: 5 of 53
- Molecular Biology 286
- Genetics 102
- Oncology 33
- Cellular and Molecular Neuroscience 25
- Pathology and Forensic Medicine 23
Countries citing papers authored by Neal Schilling
This map shows the geographic impact of Neal Schilling'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 Neal Schilling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neal Schilling more than expected).
Fields of papers citing papers by Neal Schilling
This network shows the impact of papers produced by Neal Schilling. 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 Neal Schilling. The network helps show where Neal Schilling may publish in the future.
Co-authorship network of co-authors of Neal Schilling
This figure shows the co-authorship network connecting the top 25 collaborators of Neal Schilling. A scholar is included among the top collaborators of Neal Schilling 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 Neal Schilling. Neal Schilling 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 | 27 | |
| 3 | 40 | |
| 4 | 33 | |
| 5 | 32 | |
| 6 | 23 | |
| 7 | 157 |
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.