Avlant Nilsson

3.1k total citations
35 papers, 1.5k citations indexed

About

Avlant Nilsson is a scholar working on Molecular Biology, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Avlant Nilsson has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Biomedical Engineering and 7 papers in Mechanics of Materials. Recurrent topics in Avlant Nilsson's work include Acoustic Wave Phenomena Research (8 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Bioinformatics and Genomic Networks (6 papers). Avlant Nilsson is often cited by papers focused on Acoustic Wave Phenomena Research (8 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Bioinformatics and Genomic Networks (6 papers). Avlant Nilsson collaborates with scholars based in Sweden, United States and Denmark. Avlant Nilsson's co-authors include Jens Nielsen, Eduard J. Kerkhoven, Petri‐Jaan Lahtvee, Benjamín J. Sánchez, Cheng Zhang, Bernhard Ø. Palsson, Daniel Bäckström, Adil Mardinoğlu, Pınar Kocabaş and Jonathan L. Robinson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Avlant Nilsson

33 papers receiving 1.4k citations

Peers

Avlant Nilsson

CSE

Jae Eun Kim South Korea

Hyunjin Lee South Korea

Huijian Zhang China

Masaharu KOMORI Japan

Wenjun Wu China

Jinzhong Chen China

Yaohui Chen China

Jinsong Zhou China

Carlo Bruni Italy

Jae Eun Kim South Korea

Avlant Nilsson

724 ×0.8

169 ×0.3

112 ×0.5

159 ×0.8

CSE

58 ×0.4

Citations per year, relative to Avlant Nilsson Avlant Nilsson (= 1×) peers Jae Eun Kim

Countries citing papers authored by Avlant Nilsson

Since Specialization

Citations

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

Fields of papers citing papers by Avlant Nilsson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Avlant Nilsson. 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 Avlant Nilsson. The network helps show where Avlant Nilsson may publish in the future.

Co-authorship network of co-authors of Avlant Nilsson

This figure shows the co-authorship network connecting the top 25 collaborators of Avlant Nilsson. A scholar is included among the top collaborators of Avlant Nilsson 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 Avlant Nilsson. Avlant Nilsson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Perez, Caleb R., Avlant Nilsson, Hratch Baghdassarian, et al.. (2025). Library-based single-cell analysis of CAR signaling reveals drivers of in vivo persistence. Cell Systems. 16(5). 101260–101260.

Lauffenburger, Douglas A., et al.. (2025). Protocol to infer off-target effects of drugs on cellular signaling using interactome-based deep learning. STAR Protocols. 6(1). 103573–103573. 1 indexed citations

Nilsson, Avlant, et al.. (2025). Towards an interpretable deep learning model of cancer. npj Precision Oncology. 9(1). 46–46. 2 indexed citations

Pullen, Krista M., et al.. (2024). AutoTransOP: translating omics signatures without orthologue requirements using deep learning. npj Systems Biology and Applications. 10(1). 13–13. 1 indexed citations

Gunn, Bronwyn M., Ryan P. McNamara, Wenyu Guo, et al.. (2023). Antibodies against the Ebola virus soluble glycoprotein are associated with long-term vaccine-mediated protection of non-human primates. Cell Reports. 42(4). 112402–112402. 12 indexed citations

Nilsson, Avlant, et al.. (2022). Artificial neural networks enable genome-scale simulations of intracellular signaling. Nature Communications. 13(1). 3069–3069. 27 indexed citations

Vega, Paige N., Avlant Nilsson, Manu P. Kumar, et al.. (2022). Cancer-Associated Fibroblasts and Squamous Epithelial Cells Constitute a Unique Microenvironment in a Mouse Model of Inflammation-Induced Colon Cancer. Frontiers in Oncology. 12. 878920–878920. 11 indexed citations

Nilsson, Avlant, Elias Björnson, Mikael Flockhart, Filip J. Larsen, & Jens Nielsen. (2019). Complex I is bypassed during high intensity exercise. Nature Communications. 10(1). 5072–5072. 25 indexed citations

Nilsson, Avlant, Jurgen R. Haanstra, Bas Teusink, & Jens Nielsen. (2018). Metabolite Depletion Affects Flux Profiling of Cell Lines. Trends in Biochemical Sciences. 43(6). 395–397. 6 indexed citations

10.

Nilsson, Avlant, Adil Mardinoğlu, & Jens Nielsen. (2017). Predicting growth of the healthy infant using a genome scale metabolic model. npj Systems Biology and Applications. 3(1). 3–3. 20 indexed citations

11.

Sánchez, Benjamín J., Cheng Zhang, Avlant Nilsson, et al.. (2017). Improving the phenotype predictions of a yeast genome‐scale metabolic model by incorporating enzymatic constraints. Molecular Systems Biology. 13(8). 935–935. 315 indexed citations

12.

Nilsson, Avlant, Jens Nielsen, & Bernhard Ø. Palsson. (2017). Metabolic Models of Protein Allocation Call for the Kinetome. Cell Systems. 5(6). 538–541. 63 indexed citations

13.

Nilsson, Avlant & Jens Nielsen. (2016). Genome scale metabolic modeling of cancer. Metabolic Engineering. 43(Pt B). 103–112. 87 indexed citations

14.

Nilsson, Avlant & Jens Nielsen. (2016). Metabolic Trade-offs in Yeast are Caused by F1F0-ATP synthase. Scientific Reports. 6(1). 22264–22264. 103 indexed citations

15.

Garcia‐Albornoz, Manuel, et al.. (2014). BioMet Toolbox 2.0: genome-wide analysis of metabolism and omics data. Nucleic Acids Research. 42(W1). W175–W181. 34 indexed citations

16.

Pornputtapong, Natapol, Kwanjeera Wanichthanarak, Avlant Nilsson, Intawat Nookaew, & Jens Nielsen. (2014). A dedicated database system for handling multi-level data in systems biology. PubMed. 9(1). 17–17. 2 indexed citations

17.

Nilsson, Avlant, et al.. (2002). PREDICTION AND MEASUREMENT OF SOME DYNAMIC PROPERTIES OF SANDWICH STRUCTURES WITH HONEYCOMB AND FOAM CORES. Journal of Sound and Vibration. 251(3). 409–430. 141 indexed citations

18.

Nilsson, Avlant & Stefan Nilsson. (1985). Testicular Germ Cell Tumors After Clomiphene Therapy for Subfertility. The Journal of Urology. 134(3). 560–561. 12 indexed citations

19.

Nilsson, Avlant. (1980). Propeller induced hull plate vibrations. Journal of Sound and Vibration. 69(4). 539–557. 6 indexed citations

20.

Nilsson, Avlant, et al.. (1977). FLOATING FLOORS FOR NOISE REDUCTION IN SHIPS. 5(4). 1 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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