Mohammad Luqman
About
In The Last Decade
Mohammad Luqman
26 papers receiving 838 citations
Peers
Comparison fields: 5 of 65
- Immunology 619
- Molecular Biology 176
- Radiology, Nuclear Medicine and Imaging 157
- Oncology 150
- Immunology and Allergy 89
Countries citing papers authored by Mohammad Luqman
This map shows the geographic impact of Mohammad Luqman'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 Mohammad Luqman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Luqman more than expected).
Fields of papers citing papers by Mohammad Luqman
This network shows the impact of papers produced by Mohammad Luqman. 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 Mohammad Luqman. The network helps show where Mohammad Luqman may publish in the future.
Co-authorship network of co-authors of Mohammad Luqman
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Luqman. A scholar is included among the top collaborators of Mohammad Luqman 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 Mohammad Luqman. Mohammad Luqman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 81 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 115 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 22 | |
| 12 | 44 | |
| 13 | 1 | |
| 14 | 45 | |
| 15 | 98 | |
| 16 | 23 | |
| 17 | 45 | |
| 18 | 120 | |
| 19 | 211 | |
| 20 | Immune recognition and effector function in subsets of CD4 T cells. | 5 |
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.