Mark S. Schiffer
About
In The Last Decade
Mark S. Schiffer
7 papers receiving 445 citations
Peers
Comparison fields: 5 of 64
- Nephrology 220
- Epidemiology 151
- Microbiology 139
- Molecular Biology 70
- Pulmonary and Respiratory Medicine 65
Countries citing papers authored by Mark S. Schiffer
This map shows the geographic impact of Mark S. Schiffer'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 Mark S. Schiffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Schiffer more than expected).
Fields of papers citing papers by Mark S. Schiffer
This network shows the impact of papers produced by Mark S. Schiffer. 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 Mark S. Schiffer. The network helps show where Mark S. Schiffer may publish in the future.
Co-authorship network of co-authors of Mark S. Schiffer
This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Schiffer. A scholar is included among the top collaborators of Mark S. Schiffer 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 Mark S. Schiffer. Mark S. Schiffer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 29 | |
| 3 | 233 | |
| 4 | 49 | |
| 5 | 70 | |
| 6 | 52 | |
| 7 | 52 |
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.