José L. Avalos‬

6.3k total citations · 3 hit papers
75 papers, 4.7k citations indexed

About

José L. Avalos‬ is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, José L. Avalos‬ has authored 75 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 12 papers in Plant Science and 9 papers in Biomedical Engineering. Recurrent topics in José L. Avalos‬'s work include Microbial Metabolic Engineering and Bioproduction (36 papers), Light effects on plants (11 papers) and Photosynthetic Processes and Mechanisms (11 papers). José L. Avalos‬ is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (36 papers), Light effects on plants (11 papers) and Photosynthetic Processes and Mechanisms (11 papers). José L. Avalos‬ collaborates with scholars based in United States, Spain and United Kingdom. José L. Avalos‬'s co-authors include Cynthia Wolberger, Jef D. Boeke, Evan M. Zhao, Jared E. Toettcher, Ivana Celic, Katherine M. Bever, Gregory Stephanopoulos, Gerald R. Fink, Sarah K. Hammer and Makoto A. Lalwani and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

José L. Avalos‬

67 papers receiving 4.6k citations

Hit Papers

A phylogenetically conser... 2000 2026 2008 2017 2000 2013 2018 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
José L. Avalos‬ United States 31 3.2k 1.2k 602 512 508 75 4.7k
Yuzheng Zhao China 31 2.0k 0.6× 272 0.2× 306 0.5× 224 0.4× 271 0.5× 93 3.2k
Christian F. W. Becker Austria 32 2.2k 0.7× 447 0.4× 207 0.3× 306 0.6× 95 0.2× 144 3.5k
He Huang China 44 3.7k 1.1× 294 0.2× 162 0.3× 300 0.6× 50 0.1× 143 6.6k
Michele Maffia Italy 32 1.6k 0.5× 106 0.1× 305 0.5× 169 0.3× 102 0.2× 140 3.6k
Kong‐Joo Lee South Korea 38 3.3k 1.0× 47 0.0× 452 0.8× 235 0.5× 178 0.4× 149 4.9k
Jing Huang United States 40 4.8k 1.5× 48 0.0× 158 0.3× 401 0.8× 754 1.5× 124 6.8k
Sharmistha Dey India 26 1.2k 0.4× 217 0.2× 105 0.2× 126 0.2× 69 0.1× 180 2.8k
Douglas S. Auld United States 42 4.8k 1.5× 30 0.0× 484 0.8× 296 0.6× 471 0.9× 120 7.1k
Hai‐Meng Zhou China 30 2.2k 0.7× 59 0.0× 145 0.2× 96 0.2× 198 0.4× 127 3.4k

Countries citing papers authored by José L. Avalos‬

Since Specialization
Citations

This map shows the geographic impact of José L. Avalos‬'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 José L. Avalos‬ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José L. Avalos‬ more than expected).

Fields of papers citing papers by José L. Avalos‬

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José L. Avalos‬. 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 José L. Avalos‬. The network helps show where José L. Avalos‬ may publish in the future.

Co-authorship network of co-authors of José L. Avalos‬

This figure shows the co-authorship network connecting the top 25 collaborators of José L. Avalos‬. A scholar is included among the top collaborators of José L. Avalos‬ based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with José L. Avalos‬. José L. Avalos‬ is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Avalos‬, José L., et al.. (2025). Reinforcement learning for efficient and robust multi-setpoint and multi-trajectory tracking in bioprocesses. Computers & Chemical Engineering. 202. 109297–109297. 1 indexed citations
2.
Avalos‬, José L., et al.. (2025). Shape Matters: The Utility and Analysis of Altered Yeast Mitochondrial Morphology in Health, Disease, and Biotechnology. International Journal of Molecular Sciences. 26(5). 2152–2152. 1 indexed citations
3.
Lee, Dongheon, Mackenzie T. Walls, Ka‐Hei Siu, et al.. (2025). Principles of metabolic pathway control by biomolecular condensates in cells. 2(3). 198–208. 2 indexed citations
4.
Avalos‬, José L., et al.. (2025). Omics-driven hybrid dynamic modeling of bioprocesses with uncertainty estimation. Biochemical Engineering Journal. 216. 109637–109637. 2 indexed citations
5.
Avalos‬, José L., et al.. (2024). Linking intra- and extra-cellular metabolic domains via neural-network surrogates for dynamic metabolic control. IFAC-PapersOnLine. 58(23). 115–120. 4 indexed citations
6.
Xu, Ke, Amal Narayanan, Mackenzie T. Walls, et al.. (2024). Asymmetric oligomerization state and sequence patterning can tune multiphase condensate miscibility. Nature Chemistry. 16(7). 1073–1082. 47 indexed citations
7.
Qian, Grace, et al.. (2023). High-throughput feedback-enabled optogenetic stimulation and spectroscopy in microwell plates. Communications Biology. 6(1). 1192–1192. 4 indexed citations
8.
Zhao, Evan M., et al.. (2021). Optogenetic Amplification Circuits for Light-Induced Metabolic Control. ACS Synthetic Biology. 10(5). 1143–1154. 61 indexed citations
9.
Avalos‬, José L., et al.. (2021). Physiological limitations and opportunities in microbial metabolic engineering. Nature Reviews Microbiology. 20(1). 35–48. 112 indexed citations
10.
Lalwani, Makoto A., et al.. (2020). Optogenetic control of the lac operon for bacterial chemical and protein production. Nature Chemical Biology. 17(1). 71–79. 96 indexed citations
11.
Gil, Agnieszka A., César Carrasco‐López, Liyuan Zhu, et al.. (2020). Optogenetic control of protein binding using light-switchable nanobodies. Nature Communications. 11(1). 4044–4044. 100 indexed citations
12.
Avalos‬, José L., et al.. (2019). Partial Observations and Conservation Laws: Gray-Box Modeling in Biotechnology and Optogenetics. Industrial & Engineering Chemistry Research. 59(6). 2611–2620. 19 indexed citations
13.
Avalos‬, José L. & Leire San-José. (2018). Contabilidad Social para el Bien Común. 95–122. 4 indexed citations
14.
Zhang, Yanfei & José L. Avalos‬. (2017). Traditional and novel tools to probe the mitochondrial metabolism in health and disease. WIREs Systems Biology and Medicine. 9(2). 12 indexed citations
15.
Avalos‬, José L. & Leire San-José. (2016). Contabilidad social para la sostenibilidad: modelo y aplicación. 159–178. 2 indexed citations
16.
Avalos‬, José L., Gerald R. Fink, & Gregory Stephanopoulos. (2013). Compartmentalization of metabolic pathways in yeast mitochondria improves the production of branched-chain alcohols. PMC. 2 indexed citations
17.
Avalos‬, José L., et al.. (2012). El cuadro de mando integral en las Entidades No Lucrativas. 89–106. 3 indexed citations
18.
Avalos‬, José L., et al.. (2007). Factores estratégicos de éxito de las empresas de inserción. CIRIEC-España revista de economía pública social y cooperativa. 61–89. 7 indexed citations
19.
Avalos‬, José L., et al.. (2007). Cláusulas sociales y mercados tutelados: herramientas para la competitividad de las empresas de inserción. CIRIEC-España revista de economía pública social y cooperativa. 123–151. 4 indexed citations
20.
Avalos‬, José L., et al.. (2005). Modelización del costo de las empresas de inserción para la administración pública. CIRIEC-España revista de economía pública social y cooperativa. 361–385. 4 indexed citations

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.

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