Caroline Weis

833 total citations · 1 hit paper
7 papers, 416 citations indexed

About

Caroline Weis is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Caroline Weis has authored 7 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Infectious Diseases and 3 papers in Molecular Biology. Recurrent topics in Caroline Weis's work include Bacterial Identification and Susceptibility Testing (3 papers), COVID-19 Clinical Research Studies (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Caroline Weis is often cited by papers focused on Bacterial Identification and Susceptibility Testing (3 papers), COVID-19 Clinical Research Studies (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Caroline Weis collaborates with scholars based in Switzerland, Canada and United States. Caroline Weis's co-authors include Karsten Borgwardt, Catherine R. Jutzeler, Bastian Rieck, Adrian Egli, Aline Cuénod, Claudia Lang, Michael Osthoff, Michael Oberle, Maximilian Brackmann and Susanne Graf and has published in prestigious journals such as Nature Medicine, Bioinformatics and Journal of Hepatology.

In The Last Decade

Caroline Weis

7 papers receiving 412 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning

2022 140 citations Caroline Weis, Aline Cuénod et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Caroline Weis Switzerland	6	177	130	107	57	55	7	416
Emran Askari Iran	12	138 0.8×	182 1.4×	218 2.0×	45 0.8×	20 0.4×	51	402
Noppavan Janejai Thailand	9	55 0.3×	69 0.5×	78 0.7×	58 1.0×	11 0.2×	14	326
Chiara Vismara Italy	10	39 0.2×	43 0.3×	248 2.3×	18 0.3×	30 0.5×	31	381
Cristina Leal Rodríguez Denmark	10	43 0.2×	83 0.6×	81 0.8×	18 0.3×	19 0.3×	21	303
Olivier Del Corpo Canada	11	85 0.5×	86 0.7×	323 3.0×	22 0.4×	12 0.2×	20	488
Nuri Lee South Korea	12	22 0.1×	142 1.1×	131 1.2×	67 1.2×	17 0.3×	47	454
Kirtimaan Syal India	15	13 0.1×	190 1.5×	179 1.7×	59 1.0×	32 0.6×	31	482
Akhil Garg Canada	7	80 0.5×	53 0.4×	128 1.2×	18 0.3×	13 0.2×	10	246
Huifen Ye China	11	108 0.6×	210 1.6×	172 1.6×	203 3.6×	22 0.4×	26	510
Ali Toloue Ostadgavahi Canada	7	17 0.1×	49 0.4×	159 1.5×	17 0.3×	7 0.1×	16	282

Countries citing papers authored by Caroline Weis

Since Specialization

Citations

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

Fields of papers citing papers by Caroline Weis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Weis

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

All Works

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7 of 7 papers shown

1.

Weis, Caroline, Maria Littmann, Dickens Theodore, et al.. (2023). Deep learning cluster analysis reveals subtypes in response to antisense oligonucleotide therapy in chronic hepatitis B. Journal of Hepatology. 78. S1151–S1152. 1 indexed citations

2.

Weis, Caroline, Aline Cuénod, Bastian Rieck, et al.. (2022). Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning. Nature Medicine. 28(1). 164–174. 140 indexed citations breakdown →

3.

Jutzeler, Catherine R., Lucie Bourguignon, Caroline Weis, et al.. (2020). Comorbidities, clinical signs and symptoms, laboratory findings, imaging features, treatment strategies, and outcomes in adult and pediatric patients with COVID-19: A systematic review and meta-analysis. Travel Medicine and Infectious Disease. 37. 101825–101825. 104 indexed citations

4.

Weis, Caroline, Max Horn, Bastian Rieck, et al.. (2020). Topological and kernel-based microbial phenotype prediction from MALDI-TOF mass spectra. Bioinformatics. 36(Supplement_1). i30–i38. 22 indexed citations

5.

Weis, Caroline, Catherine R. Jutzeler, & Karsten Borgwardt. (2020). Machine learning for microbial identification and antimicrobial susceptibility testing on MALDI-TOF mass spectra: a systematic review. Clinical Microbiology and Infection. 26(10). 1310–1317. 126 indexed citations

6.

Jutzeler, Catherine R., Lucie Bourguignon, Caroline Weis, et al.. (2020). Comorbidities, clinical signs and symptoms, laboratory findings, imaging features, treatment strategies, and outcomes in adult and pediatric patients with COVID-19: A systematic review and meta-analysis. medRxiv. 7 indexed citations

7.

Wallen, Jamie R., Hao Zhang, Caroline Weis, et al.. (2017). Hybrid Methods Reveal Multiple Flexibly Linked DNA Polymerases within the Bacteriophage T7 Replisome. Structure. 25(1). 157–166. 16 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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