Yamini Goyal
About
In The Last Decade
Yamini Goyal
19 papers receiving 317 citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 106
- Epidemiology 72
- Immunology 62
- Pulmonary and Respiratory Medicine 48
- Endocrinology, Diabetes and Metabolism 44
Countries citing papers authored by Yamini Goyal
This map shows the geographic impact of Yamini Goyal'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 Yamini Goyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yamini Goyal more than expected).
Fields of papers citing papers by Yamini Goyal
This network shows the impact of papers produced by Yamini Goyal. 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 Yamini Goyal. The network helps show where Yamini Goyal may publish in the future.
Co-authorship network of co-authors of Yamini Goyal
This figure shows the co-authorship network connecting the top 25 collaborators of Yamini Goyal. A scholar is included among the top collaborators of Yamini Goyal 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 Yamini Goyal. Yamini Goyal 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 | 22 | |
| 3 | 4 | |
| 4 | 58 | |
| 5 | 6 | |
| 6 | 7 | |
| 7 | 18 | |
| 8 | 39 | |
| 9 | 14 | |
| 10 | A Brief Survey on Personal Cloud Storage using Raspberry-Pi | 10 |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 8 | |
| 14 | 21 | |
| 15 | 5 | |
| 16 | 81 | |
| 17 | 12 | |
| 18 | 2 | |
| 19 | 12 |
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.