Simon Joost

2.9k total citations · 2 hit papers
15 papers, 1.8k citations indexed

About

Simon Joost is a scholar working on Molecular Biology, Urology and Cell Biology. According to data from OpenAlex, Simon Joost has authored 15 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Urology and 5 papers in Cell Biology. Recurrent topics in Simon Joost's work include Hair Growth and Disorders (5 papers), Skin and Cellular Biology Research (3 papers) and Hedgehog Signaling Pathway Studies (3 papers). Simon Joost is often cited by papers focused on Hair Growth and Disorders (5 papers), Skin and Cellular Biology Research (3 papers) and Hedgehog Signaling Pathway Studies (3 papers). Simon Joost collaborates with scholars based in Sweden, United States and Germany. Simon Joost's co-authors include Maria Kasper, Gioele La Manno, Sten Linnarsson, Amit Zeisel, Peter Lönnerberg, Saiful Islam, Paweł Zając, Xiaoyan Sun, Tina Jacob and Karl Annusver and has published in prestigious journals such as Nature Communications, Nature Methods and Cancer Research.

In The Last Decade

Simon Joost

15 papers receiving 1.8k 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.

Quantitative single-cell RNA-seq with unique molecular identifiers

2013 812 citations Saiful Islam, Amit Zeisel et al. Nature Methods profile →
Single-Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity

2016 281 citations Simon Joost, Amit Zeisel et al. Cell Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simon Joost Sweden	12	1.2k	331	289	286	269	15	1.8k
Sally Lowell United Kingdom	21	1.8k 1.5×	225 0.7×	215 0.7×	274 1.0×	171 0.6×	47	2.8k
Naoki Oshimori United States	13	968 0.8×	257 0.8×	236 0.8×	461 1.6×	234 0.9×	17	1.5k
Khalil Kass Youssef Belgium	14	1.2k 1.0×	340 1.0×	158 0.5×	912 3.2×	362 1.3×	15	2.3k
David P. Doupé United Kingdom	11	705 0.6×	136 0.4×	75 0.3×	375 1.3×	230 0.9×	14	1.3k
Guilhem Mascré Belgium	6	703 0.6×	196 0.6×	114 0.4×	580 2.0×	229 0.9×	7	1.5k
Elizabeth Clayton United Kingdom	13	849 0.7×	133 0.4×	490 1.7×	357 1.2×	155 0.6×	22	1.9k
Pleasantine Mill United Kingdom	20	2.5k 2.0×	238 0.7×	197 0.7×	403 1.4×	449 1.7×	33	3.4k
Michaël Nicolas Switzerland	15	1.2k 1.0×	173 0.5×	301 1.0×	375 1.3×	239 0.9×	24	2.6k
Ichiko Saotome United States	18	1.2k 0.9×	101 0.3×	213 0.7×	364 1.3×	200 0.7×	23	2.6k
Slobodan Beronja United States	17	1.2k 1.0×	175 0.5×	175 0.6×	342 1.2×	117 0.4×	21	1.8k

Countries citing papers authored by Simon Joost

Since Specialization

Citations

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

Fields of papers citing papers by Simon Joost

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Joost

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

15 of 15 papers shown

Nguyen, Minh, Unnikrishnan Sivan, Simon Joost, et al.. (2024). Tenascin-C expressing touch dome keratinocytes exhibit characteristics of all epidermal lineages. Science Advances. 10(3). eadi5791–eadi5791. 1 indexed citations

Pan, Chun‐Hao, Yan Yan, Rohit Thummalapalli, et al.. (2023). Alveolar Differentiation Drives Resistance to KRAS Inhibition in Lung Adenocarcinoma. Cancer Discovery. 14(2). 308–325. 21 indexed citations

Pitter, Kenneth L., Olivera Grbovic-Huezo, Simon Joost, et al.. (2022). Systematic Comparison of Pancreatic Ductal Adenocarcinoma Models Identifies a Conserved Highly Plastic Basal Cell State. Cancer Research. 82(19). 3549–3560. 11 indexed citations

Sun, Xiaoyan, Simon Joost, & Maria Kasper. (2022). Plasticity of Epithelial Cells during Skin Wound Healing. Cold Spring Harbor Perspectives in Biology. 15(5). a041232–a041232. 25 indexed citations

Sun, Xiaoyan, Alexandra Are, Karl Annusver, et al.. (2020). Coordinated hedgehog signaling induces new hair follicles in adult skin. eLife. 9. 24 indexed citations

Joost, Simon, Karl Annusver, Tina Jacob, et al.. (2020). The Molecular Anatomy of Mouse Skin during Hair Growth and Rest. Cell stem cell. 26(3). 441–457.e7. 202 indexed citations

Joost, Simon, Tina Jacob, Xiaoyan Sun, et al.. (2018). Single-Cell Transcriptomics of Traced Epidermal and Hair Follicle Stem Cells Reveals Rapid Adaptations during Wound Healing. Cell Reports. 25(3). 585–597.e7. 131 indexed citations

Acosta, Juan R., Simon Joost, Kasper Karlsson, et al.. (2017). Single cell transcriptomics suggest that human adipocyte progenitor cells constitute a homogeneous cell population. Stem Cell Research & Therapy. 8(1). 250–250. 48 indexed citations

Joost, Simon, Amit Zeisel, Tina Jacob, et al.. (2016). Single-Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity. Cell Systems. 3(3). 221–237.e9. 281 indexed citations breakdown →

10.

Gerling, Marco, Nikè V.J.A. Büller, Simon Joost, et al.. (2016). Stromal Hedgehog signalling is downregulated in colon cancer and its restoration restrains tumour growth. Nature Communications. 7(1). 12936–12936. 107 indexed citations

11.

Füllgrabe, Anja, Simon Joost, Alexandra Are, et al.. (2015). Dynamics of Lgr6 + Progenitor Cells in the Hair Follicle, Sebaceous Gland, and Interfollicular Epidermis. Stem Cell Reports. 5(5). 843–855. 78 indexed citations

12.

Islam, Saiful, Amit Zeisel, Simon Joost, et al.. (2013). Quantitative single-cell RNA-seq with unique molecular identifiers. Nature Methods. 11(2). 163–166. 812 indexed citations breakdown →

13.

Joost, Simon, Luciana L. Almada, Anne M. Vrabel, et al.. (2011). GLI1 Inhibition Promotes Epithelial-to-Mesenchymal Transition in Pancreatic Cancer Cells. Cancer Research. 72(1). 88–99. 54 indexed citations

14.

Joost, Simon & I. Atwater. (1986). Insulin Release and K+-Induced Depolarization in Mouse Pancreatic β-Cells. Advances in experimental medicine and biology. 211. 159–166. 2 indexed citations

15.

Essers, U., et al.. (1974). [Indications on existence of a plasma factor promoting the proliferation of pluripotent stem cells].. PubMed. 80. 1507–10. 2 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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