Sebastian Tiesmeyer

434 total citations
7 papers, 202 citations indexed

About

Sebastian Tiesmeyer is a scholar working on Molecular Biology, Surgery and Signal Processing. According to data from OpenAlex, Sebastian Tiesmeyer has authored 7 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Signal Processing. Recurrent topics in Sebastian Tiesmeyer's work include Single-cell and spatial transcriptomics (5 papers), Gene expression and cancer classification (2 papers) and Molecular Biology Techniques and Applications (2 papers). Sebastian Tiesmeyer is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Gene expression and cancer classification (2 papers) and Molecular Biology Techniques and Applications (2 papers). Sebastian Tiesmeyer collaborates with scholars based in Germany, United States and Sweden. Sebastian Tiesmeyer's co-authors include Naveed Ishaque, Roland Eils, Yan Hang, Katja Steiger, Seung K. Kim, Soeren Lukassen, Olivia Debnath, Simone Spieckermann, Christian Conrad and Anja A. Kühl and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Gastroenterology.

In The Last Decade

Sebastian Tiesmeyer

6 papers receiving 202 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sebastian Tiesmeyer Germany	3	131	59	50	32	28	7	202
Ondine Atwa United States	5	169 1.3×	22 0.4×	22 0.4×	25 0.8×	28 1.0×	5	255
Borbala Katona Sweden	4	106 0.8×	17 0.3×	53 1.1×	21 0.7×	29 1.0×	6	220
Annie Yim Netherlands	5	199 1.5×	22 0.4×	18 0.4×	43 1.3×	15 0.5×	12	263
Leander Dony Germany	4	112 0.9×	44 0.7×	9 0.2×	20 0.6×	8 0.3×	7	144
Matias Kinnunen Finland	5	137 1.0×	52 0.9×	21 0.4×	14 0.4×	17 0.6×	6	203
Ciro Salinno Germany	8	161 1.2×	162 2.7×	20 0.4×	26 0.8×	25 0.9×	9	290
Samuel Shields United Kingdom	4	139 1.1×	10 0.2×	16 0.3×	47 1.5×	49 1.8×	5	251
Javier Gómez Ortega Australia	2	128 1.0×	10 0.2×	15 0.3×	46 1.4×	49 1.8×	2	235
Dominic Bennett United Kingdom	2	131 1.0×	10 0.2×	15 0.3×	46 1.4×	50 1.8×	2	247

Countries citing papers authored by Sebastian Tiesmeyer

Since Specialization

Citations

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

Fields of papers citing papers by Sebastian Tiesmeyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Tiesmeyer

This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Tiesmeyer. A scholar is included among the top collaborators of Sebastian Tiesmeyer 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 Sebastian Tiesmeyer. Sebastian Tiesmeyer 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.

Tiesmeyer, Sebastian, et al.. (2026). Identifying 3D signal overlaps in spatial transcriptomics data with ovrlpy. Nature Biotechnology.

2.

Tiesmeyer, Sebastian, et al.. (2024). Sainsc: A Computational Tool for Segmentation‐Free Analysis of In Situ Capture Data. Small Methods. 9(5). e2401123–e2401123. 2 indexed citations

3.

Tiesmeyer, Sebastian, et al.. (2022). SSAM-lite: A Light-Weight Web App for Rapid Analysis of Spatially Resolved Transcriptomics Data. Frontiers in Genetics. 13. 785877–785877. 2 indexed citations

4.

Park, Jeongbin, Sebastian Tiesmeyer, Brian Long, et al.. (2021). Author Correction: Cell segmentation-free inference of cell types from in situ transcriptomics data. Nature Communications. 12(1). 4103–4103. 1 indexed citations

5.

Park, Jeongbin, Sebastian Tiesmeyer, Brian Long, et al.. (2021). Cell segmentation-free inference of cell types from in situ transcriptomics data. Nature Communications. 12(1). 3545–3545. 75 indexed citations

6.

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

7.

Scharenborg, Odette, Sebastian Tiesmeyer, Mark Hasegawa‐Johnson, & Najim Dehak. (2018). Visualizing Phoneme Category Adaptation in Deep Neural Networks. Research Repository (Delft University of Technology). 1482–1486. 4 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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