Muhammad Imran Khan
- Molecular Biology
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cellular and Molecular Neuroscience top 10%
- Behavioral Neuroscience top 2%
- Co-authors
- Ahmad Reza DehpourFaiza MumtazMuhammad ZubairSattar OstadhadiSaima GulMurad Ali KhanSher Bahadar KhanAbbas Norouzi‐Javidan
- Topics
- Stress Responses and Cortisol (7 papers)Pain Mechanisms and Treatments (6 papers)Pharmacological Receptor Mechanisms and Effects (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodEuropean Journal of Pharmacology
- Partner nations
- PakistanIranSaudi Arabia
In The Last Decade
Muhammad Imran Khan
75 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Molecular Biology 341
- Physiology 302
- Endocrinology, Diabetes and Metabolism 256
- Cellular and Molecular Neuroscience 207
- Behavioral Neuroscience 197
Countries citing papers authored by Muhammad Imran Khan
This map shows the geographic impact of Muhammad Imran Khan'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 Muhammad Imran Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Imran Khan more than expected).
Fields of papers citing papers by Muhammad Imran Khan
This network shows the impact of papers produced by Muhammad Imran Khan. 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 Muhammad Imran Khan. The network helps show where Muhammad Imran Khan may publish in the future.
Co-authorship network of co-authors of Muhammad Imran Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Imran Khan. A scholar is included among the top collaborators of Muhammad Imran Khan 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 Muhammad Imran Khan. Muhammad Imran Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 26 | |
| 8 | Causative risk factors of relapse in opium addicts after treatment and rehabilitation in internally displaced people of KPK, Pakistan | 0 |
| 9 | 200 | |
| 10 | 262 | |
| 11 | 37 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 16 | |
| 15 | 38 | |
| 16 | 10 | |
| 17 | 34 | |
| 18 | 31 | |
| 19 | Mechanism linking diabetes mellitus and obesitybreakdown → | 706 |
| 20 | 43 |
About Muhammad Imran Khan
Muhammad Imran Khan is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Metals and Alloys, having authored 78 papers that have together received 1.9k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (7 papers), Pain Mechanisms and Treatments (6 papers) and Pharmacological Receptor Mechanisms and Effects (5 papers). The work is most often cited by research in Biological Psychiatry (160 citations), Behavioral Neuroscience (197 citations) and Endocrinology, Diabetes and Metabolism (256 citations). Muhammad Imran Khan has collaborated with scholars based in Pakistan, Iran and Saudi Arabia. Frequent co-authors include Ahmad Reza Dehpour, Faiza Mumtaz, Muhammad Zubair, Sattar Ostadhadi, Saima Gul, Murad Ali Khan, Sher Bahadar Khan, Abbas Norouzi‐Javidan, Shahram Ejtemaei Mehr and Adnan Haider. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and European Journal of Pharmacology.
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.