Clara M. Kerwin
About
In The Last Decade
Clara M. Kerwin
3 papers receiving 901 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Immunology 652
- Oncology 381
- Molecular Biology 374
- Cancer Research 120
- Pulmonary and Respiratory Medicine 84
Countries citing papers authored by Clara M. Kerwin
This map shows the geographic impact of Clara M. Kerwin'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 Clara M. Kerwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara M. Kerwin more than expected).
Fields of papers citing papers by Clara M. Kerwin
This network shows the impact of papers produced by Clara M. Kerwin. 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 Clara M. Kerwin. The network helps show where Clara M. Kerwin may publish in the future.
Co-authorship network of co-authors of Clara M. Kerwin
This figure shows the co-authorship network connecting the top 25 collaborators of Clara M. Kerwin. A scholar is included among the top collaborators of Clara M. Kerwin 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 Clara M. Kerwin. Clara M. Kerwin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | Single-Cell Transcriptomics of Human and Mouse Lung Cancers Reveals Conserved Myeloid Populations across Individuals and Species breakdown → | 894 |
| 3 | 1 |
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.