Michael Khan
- Cancer Research top 5%
- Oncology top 5%
- Cancer-related Molecular Pathways 6
- Molecular Biology top 5%
- Metabolism, Diabetes, and Cancer 8
- Single-cell and spatial transcriptomics 5
- Genetics, Bioinformatics, and Biomedical Research 5
- Biophysics top 2%
- Cell Image Analysis Techniques 12
- Cell Biology top 5%
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- Pancreatic function and diabetes 16
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- Diabetes and associated disorders 8
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- Cardiovascular Function and Risk Factors 5
- Co-authors
- Stella PelengarisGérard I. EvanTrevor D. LittlewoodGeorge EliaD. B. A. EpsteinNasir RajpootLinda CheungBodh I. Jugdutt
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Michael Khan
61 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Cancer Research 493
- Oncology 796
- Molecular Biology 2.0k
- Biophysics 137
- Cell Biology 262
Countries citing papers authored by Michael Khan
This map shows the geographic impact of Michael 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 Michael Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Khan more than expected).
Fields of papers citing papers by Michael Khan
This network shows the impact of papers produced by Michael 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 Michael Khan. The network helps show where Michael Khan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael 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 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2020 | 89 | |
| 4 | 2017 | 37 | |
| 5 | The molecular biology of cancer : a bridge from bench to bedside | 2013 | 19 |
| 6 | The molecular biology of cancer : a bridge from bed to bedside 2nd edition | 2013 | 1 |
| 7 | 2013 | 0 | |
| 8 | 2012 | 16 | |
| 9 | 2012 | 42 | |
| 10 | 2011 | 7 | |
| 11 | 2011 | 16 | |
| 12 | 2010 | 37 | |
| 13 | 2010 | 5 | |
| 14 | 2008 | 20 | |
| 15 | 2005 | 28 | |
| 16 | 2003 | 36 | |
| 17 | Suppression of Myc-Induced Apoptosis in β Cells Exposes Multiple Oncogenic Properties of Myc and Triggers Carcinogenic Progressionbreakdown → | 2002 | 526 |
| 18 | 2001 | 32 | |
| 19 | 1999 | 394 | |
| 20 | 1995 | 6 |
About Michael Khan
Michael Khan is a scholar working on Biophysics, Surgery, Endocrinology, Diabetes and Metabolism, Media Technology and Molecular Biology, having authored 62 papers that have together received 3.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (16 papers), Cell Image Analysis Techniques (12 papers), Diabetes and associated disorders (8 papers), Metabolism, Diabetes, and Cancer (8 papers), Cancer-related Molecular Pathways (6 papers), Single-cell and spatial transcriptomics (5 papers), Cardiovascular Function and Risk Factors (5 papers) and Genetics, Bioinformatics, and Biomedical Research (5 papers). The work is most often cited by research in Cancer Research (493 citations), Oncology (796 citations), Molecular Biology (2.0k citations), Biophysics (137 citations) and Cell Biology (262 citations). Michael Khan has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Stella Pelengaris, Gérard I. Evan, Trevor D. Littlewood, George Elia, D. B. A. Epstein, Nasir Rajpoot, Linda Cheung, Bodh I. Jugdutt, Shan E Ahmed Raza and Sylvie Abouna. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE, Bioinformatics, Expert Opinion on Therapeutic Targets and Diabetologia.
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.