Moneek Madra
About
In The Last Decade
Moneek Madra
7 papers receiving 853 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 526
- Physiology 316
- Cell Biology 168
- Cellular and Molecular Neuroscience 121
- Epidemiology 96
Countries citing papers authored by Moneek Madra
This map shows the geographic impact of Moneek Madra'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 Moneek Madra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moneek Madra more than expected).
Fields of papers citing papers by Moneek Madra
This network shows the impact of papers produced by Moneek Madra. 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 Moneek Madra. The network helps show where Moneek Madra may publish in the future.
Co-authorship network of co-authors of Moneek Madra
This figure shows the co-authorship network connecting the top 25 collaborators of Moneek Madra. A scholar is included among the top collaborators of Moneek Madra 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 Moneek Madra. Moneek Madra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 94 | |
| 3 | 146 | |
| 4 | 1 | |
| 5 | 36 | |
| 6 | Upregulated function of mitochondria-associated ER membranes in Alzheimer disease breakdown → | 515 |
| 7 | 35 |
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.