Foo Wei Ten

475 total citations
4 papers, 199 citations indexed

About

Foo Wei Ten is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Foo Wei Ten has authored 4 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Surgery. Recurrent topics in Foo Wei Ten's work include Single-cell and spatial transcriptomics (2 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Cancer Genomics and Diagnostics (1 paper). Foo Wei Ten is often cited by papers focused on Single-cell and spatial transcriptomics (2 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Cancer Genomics and Diagnostics (1 paper). Foo Wei Ten collaborates with scholars based in Germany, Austria and Italy. Foo Wei Ten's co-authors include Christian Conrad, Roland Eils, Naveed Ishaque, Olivia Debnath, Soeren Lukassen, Yan Hang, Katja Steiger, Seung K. Kim, Simone Spieckermann and Anja A. Kühl and has published in prestigious journals such as Nature Communications, Gastroenterology and Development.

In The Last Decade

Foo Wei Ten

3 papers receiving 199 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Foo Wei Ten Germany	3	108	86	65	54	24	4	199
Olivia Debnath Germany	4	114 1.1×	92 1.1×	65 1.0×	54 1.0×	24 1.0×	6	213
Maura Sticco-Ivins United States	5	104 1.0×	72 0.8×	38 0.6×	21 0.4×	20 0.8×	6	198
Sevilay Turan United States	5	56 0.5×	126 1.5×	84 1.3×	31 0.6×	19 0.8×	7	197
Hagen Klett Germany	7	91 0.8×	121 1.4×	13 0.2×	64 1.2×	37 1.5×	11	233
Maria C. Lecca Netherlands	5	47 0.4×	32 0.4×	21 0.3×	33 0.6×	18 0.8×	7	92
Karol Nowicki-Osuch United Kingdom	6	40 0.4×	69 0.8×	81 1.2×	31 0.6×	9 0.4×	9	162
Anastasia I. Kousa United States	6	37 0.3×	138 1.6×	16 0.2×	13 0.2×	17 0.7×	11	196
Jacob R. Tremblay United States	6	40 0.4×	73 0.8×	59 0.9×	10 0.2×	33 1.4×	9	127
Rebiguli Aji China	4	65 0.6×	68 0.8×	12 0.2×	50 0.9×	10 0.4×	7	164

Countries citing papers authored by Foo Wei Ten

Since Specialization

Citations

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

Fields of papers citing papers by Foo Wei Ten

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Foo Wei Ten. 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 Foo Wei Ten. The network helps show where Foo Wei Ten may publish in the future.

Co-authorship network of co-authors of Foo Wei Ten

This figure shows the co-authorship network connecting the top 25 collaborators of Foo Wei Ten. A scholar is included among the top collaborators of Foo Wei Ten 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 Foo Wei Ten. Foo Wei Ten 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:

4 of 4 papers shown

1.

Bilio, Marchesa, Johannes Liebig, Katharina Jechow, et al.. (2025). Tbx1 stabilizes differentiation of the cardiopharyngeal mesoderm and drives morphogenesis in the pharyngeal apparatus. Development. 152(12).

2.

Krieger, Teresa G., Solange Le Blanc, Julia Jabs, et al.. (2021). Single-cell analysis of patient-derived PDAC organoids reveals cell state heterogeneity and a conserved developmental hierarchy. Nature Communications. 12(1). 5826–5826. 75 indexed citations

3.

Lukassen, Soeren, et al.. (2020). Gene set inference from single-cell sequencing data using a hybrid of matrix factorization and variational autoencoders. Nature Machine Intelligence. 2(12). 800–809. 6 indexed citations

4.

Tosti, Luca, Yan Hang, Olivia Debnath, et al.. (2020). Single-Nucleus and In Situ RNA–Sequencing Reveal Cell Topographies in the Human Pancreas. Gastroenterology. 160(4). 1330–1344.e11. 118 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