Simon Joost

2.9k citations
15 papers · 1.8k · 2 hit papers · h-index 12

Impact in

Papers in

    • Hedgehog Signaling Pathway Studies 3
    • Single-cell and spatial transcriptomics 2
    • Hair Growth and Disorders 5

Simon Joost

15 papers receiving 1.8k citations

Simon Joost's Hit Papers

Single-Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity 2016 · 281 citations
2810+4+8Years since publication250500750

Peers

Simon Joost
Comparison fields: 5 of 103
  • Urology 269
  • Rehabilitation 178
  • Dermatology 206
  • Cancer Research 331
  • Molecular Biology 1.2k
Replace Sally Lowell with:
Sally Lowell United Kingdom
Khalil Kass Youssef Belgium
David P. Doupé United Kingdom
Guilhem Mascré Belgium
Naoki Oshimori United States
Ichiko Saotome United States
Tina Jacob Sweden
Elizabeth Clayton United Kingdom
Pleasantine Mill United Kingdom
Michaël Nicolas Switzerland
Simon Joost relative to Sally Lowell United Kingdom Sally Lowell's profile →
Citations per field
00.5×1.5×2.1×
Sally Lowell · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Simon Joost, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simon Joost Line = papers co-authored together Simon Joost links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Quantitative single-cell RNA-seq with unique molecular identifiers
Hit paper breakdown →
2013812
2
Single-Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity
Hit paper breakdown →
2016281
3 2020202
4 2018131
5 2016107
6 201578
7 201154
8 201748
9 202225
10 202024
11 202321
12 202211
13 19862
14
[Indications on existence of a plasma factor promoting the proliferation of pluripotent stem cells].
19742
15 20241

About Simon Joost

Simon Joost is a scholar working on Molecular Biology, Urology, Cell Biology, Oncology and Dermatology, having authored 15 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hair Growth and Disorders (5 papers), Skin and Cellular Biology Research (3 papers), Hedgehog Signaling Pathway Studies (3 papers), melanin and skin pigmentation (3 papers), Single-cell and spatial transcriptomics (2 papers), Cancer Genomics and Diagnostics (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Urology (269 citations), Rehabilitation (178 citations), Dermatology (206 citations), Cancer Research (331 citations) and Molecular Biology (1.2k citations). Simon Joost has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Maria Kasper, Gioele La Manno, Sten Linnarsson, Peter Lönnerberg, Amit Zeisel, Saiful Islam, Paweł Zając, Xiaoyan Sun, Tina Jacob and Karl Annusver. Their work appears in journals such as Cancer Research, Nature Methods, Cold Spring Harbor Perspectives in Biology, Advances in experimental medicine and biology and Cell Reports.

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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