Pep Charusanti
About
In The Last Decade
Pep Charusanti
30 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 1.8k
- Pharmacology 510
- Biomedical Engineering 365
- Genetics 351
- Molecular Medicine 246
Countries citing papers authored by Pep Charusanti
This map shows the geographic impact of Pep Charusanti'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 Pep Charusanti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pep Charusanti more than expected).
Fields of papers citing papers by Pep Charusanti
This network shows the impact of papers produced by Pep Charusanti. 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 Pep Charusanti. The network helps show where Pep Charusanti may publish in the future.
Co-authorship network of co-authors of Pep Charusanti
This figure shows the co-authorship network connecting the top 25 collaborators of Pep Charusanti. A scholar is included among the top collaborators of Pep Charusanti 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 Pep Charusanti. Pep Charusanti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 19 | |
| 5 | 326 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 330 | |
| 9 | 153 | |
| 10 | 18 | |
| 11 | 67 | |
| 12 | 47 | |
| 13 | 165 | |
| 14 | 31 | |
| 15 | 67 | |
| 16 | 95 | |
| 17 | 35 | |
| 18 | 106 | |
| 19 | Omic data from evolved E. coli are consistent with computed optimal growth from genome‐scale models breakdown → | 527 |
| 20 | 20 |
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.