Muhammad Imran Khan

2.8k citations
78 papers · 1.9k indexed · 1 hit paper · h-index 18

Muhammad Imran Khan

75 papers receiving 1.9k citations

Hit Papers

Mechanism linking diabetes mellitus and obesity7062014202620182022200400600

Peers

Muhammad Imran Khan
Comparison fields: 5 of 176
  • Biological Psychiatry 160
  • Behavioral Neuroscience 197
  • Endocrinology, Diabetes and Metabolism 256
  • Biomaterials 152
  • Physiology 302
Replace Sheikh F. Ahmad with:
Sheikh F. Ahmad Saudi Arabia
Jingwen Wang China
Chen Zhang China
Hua Yao China
Zhihua Zhang China
Miklós Vecsernyés Hungary
Lina Wang China
Gholamreza Hassanzadeh Iran
Saravana Babu Chidambaram India
Yilin Li China
Muhammad Imran Khan relative to Sheikh F. Ahmad Saudi Arabia Sheikh F. Ahmad's profile →
Citations per field
00.5×1.5×2.2×
Sheikh F. Ahmad · 1×
Citations per year

Countries citing papers authored by Muhammad Imran Khan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Muhammad Imran Khan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Muhammad Imran Khan Line = papers co-authored together Muhammad Imran Khan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20244
4 20241
5 20241
6 20245
7 202326
8
Causative risk factors of relapse in opium addicts after treatment and rehabilitation in internally displaced people of KPK, Pakistan
20190
9 2019200
10 2018262
11 201737
12 20162
13 20161
14 201616
15 201638
16 201510
17 201534
18 201431
19
Mechanism linking diabetes mellitus and obesitybreakdown →
2014706
20 201343

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), Pharmacological Receptor Mechanisms and Effects (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Tryptophan and brain disorders (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Neuroendocrine regulation and behavior (5 papers) and Network Security and Intrusion Detection (4 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.

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