Masood N. Khan
- Cell Biology top 5%
- Cellular transport and secretion 10
- Biotin and Related Studies 3
- Immunology top 5%
- Molecular Biology top 5%
- Metabolism, Diabetes, and Cancer 8
- Lipid Membrane Structure and Behavior 6
- Protein Kinase Regulation and GTPase Signaling 5
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- Growth Hormone and Insulin-like Growth Factors 5
- Physiology top 10%
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- Pancreatic function and diabetes 10
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- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Barry I. PosnerJohn BergeronJohn W. A. FindlayR J KhanGerald D. NordblomI. DasRonald R. BowsherBinodh DeSilva
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (6 papers)Endocrine Reviews (1 paper)
- Partner nations
- CanadaUnited StatesLibya
In The Last Decade
Masood N. Khan
33 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Cell Biology 437
- Immunology 479
- Molecular Biology 1.3k
- Endocrinology, Diabetes and Metabolism 223
- Physiology 45
Countries citing papers authored by Masood N. Khan
This map shows the geographic impact of Masood N. 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 Masood N. Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masood N. Khan more than expected).
Fields of papers citing papers by Masood N. Khan
This network shows the impact of papers produced by Masood N. 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 Masood N. Khan. The network helps show where Masood N. Khan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masood N. 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 | Ligand-binding assays : development, validation, and implementation in the drug development arena | 2010 | 25 |
| 2 | Fit-for-Purpose Method Development and Validation for Successful Biomarker Measurementbreakdown → | 2006 | 504 |
| 3 | 2003 | 20 | |
| 4 | 2000 | 438 | |
| 5 | 1993 | 6 | |
| 6 | 1991 | 50 | |
| 7 | 1988 | 4 | |
| 8 | 1988 | 13 | |
| 9 | 1986 | 2 | |
| 10 | 1986 | 71 | |
| 11 | 1986 | 6 | |
| 12 | 1985 | 146 | |
| 13 | 1984 | 2 | |
| 14 | 1984 | 34 | |
| 15 | 1982 | 77 | |
| 16 | 1982 | 84 | |
| 17 | 1981 | 66 | |
| 18 | 1981 | 25 | |
| 19 | 1981 | 53 | |
| 20 | 1981 | 15 |
About Masood N. Khan
Masood N. Khan is a scholar working on Cell Biology, Behavioral Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cellular transport and secretion (10 papers), Pancreatic function and diabetes (10 papers), Metabolism, Diabetes, and Cancer (8 papers), Lipid Membrane Structure and Behavior (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Liver Disease Diagnosis and Treatment (3 papers) and Biotin and Related Studies (3 papers). The work is most often cited by research in Cell Biology (437 citations), Immunology (479 citations) and Molecular Biology (1.3k citations). Masood N. Khan has collaborated with scholars based in Canada, United States and Libya. Frequent co-authors include Barry I. Posner, John Bergeron, John W. A. Findlay, R J Khan, Gerald D. Nordblom, I. Das, Ronald R. Bowsher, Binodh DeSilva, W. Smith and Jonathan C. Cruz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Endocrine Reviews.
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.