Alex Lang
Impact in
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- Advanced Neural Network Applications
- Geology top 10%
Papers in
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- Pluripotent Stem Cells Research 5
- Gene Regulatory Network Analysis 4
- CRISPR and Genetic Engineering 2
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- Advanced Neural Network Applications 3
- Co-authors
- Pankaj D Mehta (8 shared papers)Sourabh Vora (3 shared papers)Oscar Beijbom (3 shared papers)Holger Caesar (2 shared papers)Nicholas Leiby (1 shared paper)Daniel Segrè (1 shared paper)Gracia M. Bonilla (1 shared paper)Amrita Ghosh Kar (1 shared paper)
- Journals
- Stem Cell Reports (2 papers)Physical Biology (1 paper)Cell Reports (1 paper)Journal of Biomedical Optics (1 paper)Quantum Information Processing (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Alex Lang
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 253
- Geology 48
- Molecular Biology 550
- Automotive Engineering 98
- Instrumentation 20
Countries citing papers authored by Alex Lang
This map shows the geographic impact of Alex Lang'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 Alex Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Lang more than expected).
Fields of papers citing papers by Alex Lang
This network shows the impact of papers produced by Alex Lang. 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 Alex Lang. The network helps show where Alex Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Lang, 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 | 2014 | 400 | |
| 2 | 2020 | 170 | |
| 3 | 2019 | 149 | |
| 4 | 2014 | 83 | |
| 5 | 2014 | 70 | |
| 6 | 2015 | 66 | |
| 7 | 2010 | 57 | |
| 8 | 2017 | 40 | |
| 9 | 2016 | 33 | |
| 10 | 2011 | 29 | |
| 11 | 2020 | 28 | |
| 12 | 2013 | 27 | |
| 13 | 2019 | 21 | |
| 14 | 2017 | 11 | |
| 15 | 2022 | 4 | |
| 16 | 2018 | 2 | |
| 17 | Epigenetic landscapes explain partially reprogrammed cells and identify key reprogramming gene | 2013 | 1 |
| 18 | 1993 | 1 |
About Alex Lang
Alex Lang is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Aerospace Engineering and Cognitive Neuroscience, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), Gene Regulatory Network Analysis (4 papers), Advanced Neural Network Applications (3 papers), CRISPR and Genetic Engineering (2 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Quantum Information and Cryptography (2 papers), Quantum Mechanics and Applications (2 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (253 citations), Geology (48 citations), Molecular Biology (550 citations), Automotive Engineering (98 citations) and Instrumentation (20 citations). Alex Lang has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Pankaj D Mehta, Sourabh Vora, Oscar Beijbom, Holger Caesar, Nicholas Leiby, Daniel Segrè, Gracia M. Bonilla, Amrita Ghosh Kar, William R. Harcombe and William J. Riehl. Their work appears in journals such as Stem Cell Reports, Physical Biology, Cell Reports, Journal of Biomedical Optics and Quantum Information Processing.
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.