Alex Lang
Impact in
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- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- Gut microbiota and health
- Bioinformatics and Genomic Networks
- Biophysics top 10%
Papers in
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- Pluripotent Stem Cells Research 4
- Gene Regulatory Network Analysis 4
- Single-cell and spatial transcriptomics 1
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- Advanced Thermodynamics and Statistical Mechanics 2
- Co-authors
- Pankaj Mehta (8 shared papers)William J. Riehl (1 shared paper)Gracia Bonilla (1 shared paper)Ilija Dukovski (1 shared paper)Nicholas Leiby (1 shared paper)William R. Harcombe (1 shared paper)Alex Betts (1 shared paper)Amrita Kar (1 shared paper)
- Journals
- Physical Review A (1 paper)Journal of Statistical Physics (1 paper)PLoS Computational Biology (1 paper)Journal of Biomedical Optics (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Alex Lang
13 papers receiving 711 citations
Alex Lang's Hit Papers
Peers
Comparison fields: 5 of 89
- Molecular Biology 499
- Biophysics 34
- Statistical and Nonlinear Physics 61
- Genetics 112
- Ecology 89
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 | Metabolic Resource Allocation in Individual Microbes Determines Ecosystem Interactions and Spatial Dynamics Hit paper breakdown → | 2014 | 372 |
| 2 | 2014 | 79 | |
| 3 | 2014 | 64 | |
| 4 | 2010 | 52 | |
| 5 | 2017 | 36 | |
| 6 | 2016 | 30 | |
| 7 | 2011 | 29 | |
| 8 | 2013 | 27 | |
| 9 | 2019 | 19 | |
| 10 | 2017 | 11 | |
| 11 | 2022 | 3 | |
| 12 | Epigenetic landscapes explain partially reprogrammed cells and identify key reprogramming gene | 2013 | 1 |
| 13 | 1993 | 1 | |
| 14 | 2018 | 0 |
About Alex Lang
Alex Lang is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Cognitive Neuroscience and Artificial Intelligence, having authored 14 papers that have together received 724 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), Gene Regulatory Network Analysis (4 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Quantum Mechanics and Applications (2 papers), Quantum Information and Cryptography (2 papers), Single-cell and spatial transcriptomics (1 paper), MicroRNA in disease regulation (1 paper) and Nuclear reactor physics and engineering (1 paper). The work is most often cited by research in Molecular Biology (499 citations), Biophysics (34 citations), Statistical and Nonlinear Physics (61 citations), Genetics (112 citations) and Ecology (89 citations). Alex Lang has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Pankaj Mehta, William J. Riehl, Gracia Bonilla, Ilija Dukovski, Nicholas Leiby, William R. Harcombe, Alex Betts, Amrita Kar, Daniel Segrè and Christopher J. Marx. Their work appears in journals such as Physical Review A, Journal of Statistical Physics, PLoS Computational Biology, Journal of Biomedical Optics and Cell Reports.
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.