Annick Waldt

2.2k total citations · 1 hit paper
8 papers, 723 citations indexed

About

Annick Waldt is a scholar working on Molecular Biology, Neurology and Immunology. According to data from OpenAlex, Annick Waldt has authored 8 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Neurology and 2 papers in Immunology. Recurrent topics in Annick Waldt's work include Single-cell and spatial transcriptomics (2 papers), Renal and related cancers (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Annick Waldt is often cited by papers focused on Single-cell and spatial transcriptomics (2 papers), Renal and related cancers (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Annick Waldt collaborates with scholars based in Switzerland, United States and China. Annick Waldt's co-authors include Guglielmo Roma, Ilya Lukonin, Urs Mayr, Markus Rempfler, Petr Strnad, Panagiotis Papasaikas, Michael Stadler, Denise Serra, Andrea Boni and Prisca Liberali and has published in prestigious journals such as Nature, Scientific Reports and Cell stem cell.

In The Last Decade

Annick Waldt

8 papers receiving 718 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.

Self-organization and symmetry breaking in intestinal organoid development

2019 372 citations Denise Serra, Urs Mayr et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Annick Waldt Switzerland	8	335	199	145	126	116	8	723
Peter Faull United Kingdom	20	664 2.0×	142 0.7×	46 0.3×	124 1.0×	107 0.9×	33	951
Fernando Jose Garcia-Marques United States	17	618 1.8×	100 0.5×	50 0.3×	71 0.6×	139 1.2×	34	952
Joel A. Yates United States	15	310 0.9×	112 0.6×	64 0.4×	45 0.4×	84 0.7×	28	601
Jakub Toczek United States	16	303 0.9×	113 0.6×	135 0.9×	53 0.4×	173 1.5×	33	842
Claudia Mueller Germany	10	284 0.8×	144 0.7×	26 0.2×	130 1.0×	57 0.5×	15	545
Tinneke Delvaeye Belgium	10	621 1.9×	187 0.9×	93 0.6×	142 1.1×	344 3.0×	10	975
Qing Chai United States	18	722 2.2×	84 0.4×	39 0.3×	140 1.1×	125 1.1×	29	1.1k
Björn Koos Germany	15	478 1.4×	67 0.3×	105 0.7×	59 0.5×	68 0.6×	41	719
Claudia Tulotta Netherlands	16	413 1.2×	393 2.0×	53 0.4×	153 1.2×	302 2.6×	23	921
Jianing Zhong China	17	901 2.7×	191 1.0×	53 0.4×	103 0.8×	107 0.9×	36	1.2k

Countries citing papers authored by Annick Waldt

Since Specialization

Citations

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

Fields of papers citing papers by Annick Waldt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annick Waldt

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Neri, Marilisa, Mario Bernhard, Irena Brzak, et al.. (2022). Sustained Trem2 stabilization accelerates microglia heterogeneity and Aβ pathology in a mouse model of Alzheimer’s disease. Cell Reports. 39(9). 110883–110883. 33 indexed citations

2.

Ungricht, Rosemarie, Vanessa Orsini, Martin Beibel, et al.. (2021). Genome-wide screening in human kidney organoids identifies developmental and disease-related aspects of nephrogenesis. Cell stem cell. 29(1). 160–175.e7. 54 indexed citations

3.

Wang, Zhongyi, Adrian Keogh, Annick Waldt, et al.. (2021). Single-cell and bulk transcriptomics of the liver reveals potential targets of NASH with fibrosis. Scientific Reports. 11(1). 19396–19396. 64 indexed citations

4.

Johansson, David, Julien Roux, Edoardo Galli, et al.. (2021). Mass Cytometry of CSF Identifies an MS-Associated B-cell Population. Neurology Neuroimmunology & Neuroinflammation. 8(2). 23 indexed citations

5.

Beibel, Martin, Kea Martin, Rachel Cuttat, et al.. (2020). Immune cell landscaping reveals a protective role for regulatory T cells during kidney injury and fibrosis. JCI Insight. 5(3). 111 indexed citations

6.

Wegmann, Rebekka, Marilisa Neri, Sven Schuierer, et al.. (2019). CellSIUS provides sensitive and specific detection of rare cell populations from complex single-cell RNA-seq data. Genome biology. 20(1). 142–142. 40 indexed citations

7.

Serra, Denise, Urs Mayr, Andrea Boni, et al.. (2019). Self-organization and symmetry breaking in intestinal organoid development. Nature. 569(7754). 66–72. 372 indexed citations breakdown →

8.

Mueller, Dieter, Hans Voshol, Annick Waldt, Brigitte Wiedmann, & Jan van Oostrum. (2007). LC-MALDI MS and MS/MS — An Efficient Tool in Proteome Analysis. Sub-cellular biochemistry. 43. 355–380. 26 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.

Explore authors with similar magnitude of impact