Amir Ben‐Dor
Impact in
- Molecular Biology top 2%
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Machine Learning in Bioinformatics
- Cancer Research top 5%
Papers in
-
- Gene expression and cancer classification 28
- Genomics and Chromatin Dynamics 11
- Molecular Biology Techniques and Applications 7
- Bioinformatics and Genomic Networks 7
- RNA and protein synthesis mechanisms 4
- Genetics 12
- Genomic variations and chromosomal abnormalities 9
- Co-authors
- Zohar YakhiniRon ShamirBenny ChorNir FriedmanRichard M. KarpLaurakay BruhnMichèl SchummerIftach Nachman
- Journals
- Journal of Computational Biology (11 papers)Proceedings of the National Academy of Sciences (4 papers)CHEST Journal (2 papers)Journal of Bioinformatics and Computational Biology (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Amir Ben‐Dor
53 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Molecular Biology 2.9k
- Cancer Research 508
- Genetics 897
- Artificial Intelligence 796
- Pulmonary and Respiratory Medicine 523
Countries citing papers authored by Amir Ben‐Dor
This map shows the geographic impact of Amir Ben‐Dor'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 Amir Ben‐Dor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Ben‐Dor more than expected).
Fields of papers citing papers by Amir Ben‐Dor
This network shows the impact of papers produced by Amir Ben‐Dor. 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 Amir Ben‐Dor. The network helps show where Amir Ben‐Dor may publish in the future.
Co-authors
The 25 scholars most cited alongside Amir Ben‐Dor, 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 | 2 | |
| 2 | 2022 | 1 | |
| 3 | 2017 | 13 | |
| 4 | 2014 | 15 | |
| 5 | 2009 | 147 | |
| 6 | 2008 | 16 | |
| 7 | 2008 | 266 | |
| 8 | 2007 | 176 | |
| 9 | 2007 | 113 | |
| 10 | 2005 | 7 | |
| 11 | 2004 | 19 | |
| 12 | 2002 | 3 | |
| 13 | 2002 | 9 | |
| 14 | 2000 | 16 | |
| 15 | Tissue Classification with Gene Expression Profiles Hit paper breakdown → | 2000 | 537 |
| 16 | 1999 | 98 | |
| 17 | 1998 | 18 | |
| 18 | 1998 | 28 | |
| 19 | 1997 | 28 | |
| 20 | 1994 | 13 |
About Amir Ben‐Dor
Amir Ben‐Dor is a scholar working on Molecular Biology, Genetics, Hardware and Architecture, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 53 papers that have together received 4.7k indexed citations. Recurring topics across this work include Gene expression and cancer classification (28 papers), Genomics and Chromatin Dynamics (11 papers), Genomic variations and chromosomal abnormalities (9 papers), Molecular Biology Techniques and Applications (7 papers), Bioinformatics and Genomic Networks (7 papers), RNA and protein synthesis mechanisms (4 papers), Algorithms and Data Compression (4 papers) and Chromosomal and Genetic Variations (4 papers). The work is most often cited by research in Molecular Biology (2.9k citations), Cancer Research (508 citations), Genetics (897 citations), Artificial Intelligence (796 citations) and Pulmonary and Respiratory Medicine (523 citations). Amir Ben‐Dor has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Zohar Yakhini, Ron Shamir, Benny Chor, Nir Friedman, Richard M. Karp, Laurakay Bruhn, Michèl Schummer, Iftach Nachman, Anya Tsalenko and Laurakay Bruhn. Their work appears in journals such as Journal of Computational Biology, Proceedings of the National Academy of Sciences, CHEST Journal, Journal of Bioinformatics and Computational Biology and Nature Genetics.
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.