A Kahn
Impact in
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- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- RNA Research and Splicing
- Molecular Biology Techniques and Applications
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
Papers in
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- RNA Research and Splicing 4
- Gene expression and cancer classification 4
- Bioinformatics and Genomic Networks 3
- Molecular Biology Techniques and Applications 3
- RNA modifications and cancer 2
- Genomics and Chromatin Dynamics 2
- Machine Learning in Bioinformatics 1
- Genetics 1
- Nutrition, Genetics, and Disease 1
- Co-authors
- John N. Weinstein (7 shared papers)William C. Reinhold (4 shared papers)Barry R. Zeebèrg (6 shared papers)Dominic A. Scudiero (1 shared paper)Emanuel F. Petricoin (1 shared paper)Mark A. Reimers (1 shared paper)Lance A. Liotta (1 shared paper)Eric Kaldjian (1 shared paper)
- Journals
- BMC Bioinformatics (3 papers)Bioinformatics (2 papers)Molecular Cancer Therapeutics (1 paper)PLoS ONE (1 paper)PubMed (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
A Kahn
8 papers receiving 389 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 80
- Molecular Biology 317
- Oncology 54
- Computational Theory and Mathematics 31
- Spectroscopy 29
Countries citing papers authored by A Kahn
This map shows the geographic impact of A Kahn'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 A Kahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Kahn more than expected).
Fields of papers citing papers by A Kahn
This network shows the impact of papers produced by A Kahn. 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 A Kahn. The network helps show where A Kahn may publish in the future.
Co-authors
The 25 scholars most cited alongside A Kahn, 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 | 2007 | 254 | |
| 2 | 2007 | 58 | |
| 3 | 2008 | 32 | |
| 4 | 2007 | 20 | |
| 5 | 2011 | 18 | |
| 6 | 2012 | 14 | |
| 7 | [Creation of diet-dependent cancer models in transgenic animals]. | 1994 | 1 |
| 8 | 2010 | 1 |
About A Kahn
A Kahn is a scholar working on Molecular Biology, Genetics, Spectroscopy, Biotechnology and Cancer Research, having authored 8 papers that have together received 398 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (3 papers), Molecular Biology Techniques and Applications (3 papers), RNA modifications and cancer (2 papers), Genomics and Chromatin Dynamics (2 papers), Nutrition, Genetics, and Disease (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Cancer Research (80 citations), Molecular Biology (317 citations), Oncology (54 citations), Computational Theory and Mathematics (31 citations) and Spectroscopy (29 citations). A Kahn has collaborated with scholars based in United States and France. Frequent co-authors include John N. Weinstein, William C. Reinhold, Barry R. Zeebèrg, Dominic A. Scudiero, Emanuel F. Petricoin, Mark A. Reimers, Lance A. Liotta, Eric Kaldjian, Jeffrey Cossman and Satoshi Nishizuka. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, Molecular Cancer Therapeutics, PLoS ONE and PubMed.
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.