Carolin Loos

6.3k total citations
20 papers, 537 citations indexed

About

Carolin Loos is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Carolin Loos has authored 20 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Infectious Diseases. Recurrent topics in Carolin Loos's work include Gene Regulatory Network Analysis (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and HIV Research and Treatment (3 papers). Carolin Loos is often cited by papers focused on Gene Regulatory Network Analysis (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and HIV Research and Treatment (3 papers). Carolin Loos collaborates with scholars based in Germany, United States and Switzerland. Carolin Loos's co-authors include Jan Hasenauer, Galit Alter, Douglas A. Lauffenburger, Caroline Atyeo, Fabian Fröhlich, Stephanie Fischinger, Hendrik Streeck, Richelle C. Charles, Edward T. Ryan and Matthew D. Slein and has published in prestigious journals such as Cell, Nature Communications and Bioinformatics.

In The Last Decade

Carolin Loos

19 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carolin Loos Germany 13 229 227 79 45 43 20 537
Avneesh Gautam United States 10 472 2.1× 222 1.0× 113 1.4× 70 1.6× 31 0.7× 13 632
Srijan Chatterjee India 12 237 1.0× 169 0.7× 47 0.6× 54 1.2× 36 0.8× 27 483
Moritz Wachsmuth-Melm Germany 5 400 1.7× 195 0.9× 85 1.1× 21 0.5× 23 0.5× 6 590
Bianca Schulte Germany 14 412 1.8× 211 0.9× 181 2.3× 39 0.9× 32 0.7× 25 792
Rajat Desikan India 12 173 0.8× 156 0.7× 72 0.9× 20 0.4× 18 0.4× 20 354
Liyang Ma China 9 289 1.3× 200 0.9× 122 1.5× 31 0.7× 23 0.5× 12 569
Shih-Han Ko Taiwan 9 243 1.1× 216 1.0× 66 0.8× 43 1.0× 24 0.6× 12 465
Takahiko Koyama United States 6 467 2.0× 172 0.8× 33 0.4× 48 1.1× 33 0.8× 14 583
Jiajia Xie China 12 457 2.0× 314 1.4× 115 1.5× 39 0.9× 45 1.0× 29 862
Michael K. Y. Hsin China 6 488 2.1× 139 0.6× 37 0.5× 37 0.8× 86 2.0× 8 699

Countries citing papers authored by Carolin Loos

Since Specialization
Citations

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

Fields of papers citing papers by Carolin Loos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carolin Loos

This figure shows the co-authorship network connecting the top 25 collaborators of Carolin Loos. A scholar is included among the top collaborators of Carolin Loos 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 Carolin Loos. Carolin Loos 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.
Bebell, Lisa M., Joseph Ngonzi, Audrey L. Butler, et al.. (2024). Distinct cytokine profiles in late pregnancy in Ugandan people with HIV. Scientific Reports. 14(1). 10980–10980. 2 indexed citations
2.
Loos, Carolin, et al.. (2024). [RCVS: case-study and role of substance abuse, Covid and psychotropic drugs].. PubMed. 66(6). 296–300.
3.
Loos, Carolin, Margherita Coccia, Arnaud M. Didierlaurent, et al.. (2023). Systems serology-based comparison of antibody effector functions induced by adjuvanted vaccines to guide vaccine design. npj Vaccines. 8(1). 34–34. 14 indexed citations
4.
Dias, Antônio Gregorio, Caroline Atyeo, Carolin Loos, et al.. (2022). Antibody Fc characteristics and effector functions correlate with protection from symptomatic dengue virus type 3 infection. Science Translational Medicine. 14(651). eabm3151–eabm3151. 37 indexed citations
5.
Spatola, Marianna, Carolin Loos, Deniz Cizmeci, et al.. (2022). Functional Compartmentalization of Antibodies in the Central Nervous System During Chronic HIV Infection. The Journal of Infectious Diseases. 226(4). 738–750. 6 indexed citations
6.
Herman, Jonathan D., Chuangqi Wang, Carolin Loos, et al.. (2021). Functional convalescent plasma antibodies and pre-infusion titers shape the early severe COVID-19 immune response. Nature Communications. 12(1). 6853–6853. 21 indexed citations
7.
Bartsch, Yannic C., Carolin Loos, Jesse Fajnzylber, et al.. (2021). Viral Rebound Kinetics Correlate with Distinct HIV Antibody Features. mBio. 12(2). 12 indexed citations
8.
Zohar, Tomer, Carolin Loos, Stephanie Fischinger, et al.. (2020). Compromised Humoral Functional Evolution Tracks with SARS-CoV-2 Mortality. Cell. 183(6). 1508–1519.e12. 153 indexed citations
9.
Loos, Carolin, Douglas A. Lauffenburger, & Galit Alter. (2020). Dissecting the antibody-OME: past, present, and future. Current Opinion in Immunology. 65. 89–96. 8 indexed citations
10.
Loos, Carolin, et al.. (2020). H4K20 Methylation Is Differently Regulated by Dilution and Demethylation in Proliferating and Cell-Cycle-Arrested Xenopus Embryos. Cell Systems. 11(6). 653–662.e8. 4 indexed citations
11.
Alabert, Constance, Carolin Loos, Simona Graziano, et al.. (2020). Domain Model Explains Propagation Dynamics and Stability of Histone H3K27 and H3K36 Methylation Landscapes. Cell Reports. 30(4). 1223–1234.e8. 49 indexed citations
12.
Loos, Carolin, Caroline Atyeo, Stephanie Fischinger, et al.. (2020). Evolution of Early SARS-CoV-2 and Cross-Coronavirus Immunity. mSphere. 5(5). 26 indexed citations
13.
Hass, Helge, Carolin Loos, Elba Raimúndez, et al.. (2019). Benchmark problems for dynamic modeling of intracellular processes. Bioinformatics. 35(17). 3073–3082. 51 indexed citations
14.
Loos, Carolin & Jan Hasenauer. (2019). Robust calibration of hierarchical population models for heterogeneous cell populations. Journal of Theoretical Biology. 488. 110118–110118. 2 indexed citations
15.
Loos, Carolin, et al.. (2019). Comparison of null models for combination drug therapy reveals Hand model as biochemically most plausible. Scientific Reports. 9(1). 3002–3002. 18 indexed citations
16.
Loos, Carolin, et al.. (2018). Hierarchical optimization for the efficient parametrization of ODE models. Bioinformatics. 34(24). 4266–4273. 18 indexed citations
17.
Loos, Carolin, Katharina Moeller, Fabian Fröhlich, Tim Hucho, & Jan Hasenauer. (2018). A Hierarchical, Data-Driven Approach to Modeling Single-Cell Populations Predicts Latent Causes of Cell-To-Cell Variability. Cell Systems. 6(5). 593–603.e13. 25 indexed citations
18.
Stapor, Paul, Daniel Weindl, Sabine Hug, et al.. (2017). PESTO: Parameter EStimation TOolbox. Bioinformatics. 34(4). 705–707. 62 indexed citations
19.
Loos, Carolin, et al.. (2016). Robust parameter estimation for dynamical systems from outlier-corrupted data. Bioinformatics. 33(5). 718–725. 28 indexed citations
20.
Loos, Carolin. (2016). Analysis of Single-Cell Data. ODE Constrained Mixture Modeling and Approximate Bayesian Computation.. PubMed. 36(6). 3226–3226. 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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