Mohd Parvez Khan
- Neurology top 2%
- Developmental Neuroscience top 5%
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- Bone health and osteoporosis research 7
- Molecular Biology top 10%
- Bone Metabolism and Diseases 21
- Natural product bioactivities and synthesis 5
- TGF-β signaling in diseases 4
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 5
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- Bone health and treatments 5
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- Adipose Tissue and Metabolism 4
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- Mesenchymal stem cell research 3
- Co-authors
- Teng‐Nan LinGang WuChung Y. HsuYang HeNaibedya ChattopadhyayRakesh MauryaRitu TrivediGaurav Swarnkar
- Journals
- Proceedings of the National Academy of Sciences (2 papers)PLoS ONE (1 paper)Diabetes (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Mohd Parvez Khan
39 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Neurology 305
- Developmental Neuroscience 81
- Orthopedics and Sports Medicine 165
- Molecular Biology 769
- Cancer Research 160
Countries citing papers authored by Mohd Parvez Khan
This map shows the geographic impact of Mohd Parvez 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 Mohd Parvez Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohd Parvez Khan more than expected).
Fields of papers citing papers by Mohd Parvez Khan
This network shows the impact of papers produced by Mohd Parvez 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 Mohd Parvez Khan. The network helps show where Mohd Parvez Khan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohd Parvez Khan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 19 | |
| 5 | 2018 | 1 | |
| 6 | 2018 | 1 | |
| 7 | 2017 | 8 | |
| 8 | 2016 | 17 | |
| 9 | 2013 | 16 | |
| 10 | 2013 | 81 | |
| 11 | 2013 | 23 | |
| 12 | 2013 | 26 | |
| 13 | 2013 | 31 | |
| 14 | 2013 | 20 | |
| 15 | 2012 | 33 | |
| 16 | 2012 | 46 | |
| 17 | 2012 | 16 | |
| 18 | 2011 | 26 | |
| 19 | Granisetron and granisetron dexamethasone combination for prevention of postoperative nausea and vomiting after laparoscopic cholecystectomy : A double blind, placebo controlledstudy | 2006 | 0 |
| 20 | 2002 | 42 |
About Mohd Parvez Khan
Mohd Parvez Khan is a scholar working on Orthopedics and Sports Medicine, Molecular Biology and Cancer Research, having authored 41 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (21 papers), Bone health and osteoporosis research (7 papers), Natural product bioactivities and synthesis (5 papers), Bone health and treatments (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), TGF-β signaling in diseases (4 papers), Adipose Tissue and Metabolism (4 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Neurology (305 citations), Developmental Neuroscience (81 citations) and Orthopedics and Sports Medicine (165 citations). Mohd Parvez Khan has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Teng‐Nan Lin, Gang Wu, Chung Y. Hsu, Yang He, Naibedya Chattopadhyay, Rakesh Maurya, Ritu Trivedi, Gaurav Swarnkar, Sabyasachi Sanyal and Ernestina Schipani. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Diabetes.
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.