Simon Joost

3.0k citations
16 papers · 1.9k · 2 hit papers · h-index 12

Impact in

Papers in

    • Single-cell and spatial transcriptomics 3
    • Hedgehog Signaling Pathway Studies 3
    • Epigenetics and DNA Methylation 1
    • Hair Growth and Disorders 5

Simon Joost

16 papers receiving 1.9k citations

Simon Joost's Hit Papers

Single-Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity 2016 · 304 citations
3040+4+8Years since publication250500750

Peers

Simon Joost
Comparison fields: 5 of 97
  • Urology 296
  • Rehabilitation 185
  • Dermatology 213
  • Cancer Research 301
  • Molecular Biology 1.2k
Replace Sally Lowell with:
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David P. Doupé United Kingdom
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Naoki Oshimori United States
Ichiko Saotome United States
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Simon Joost relative to Sally Lowell United Kingdom Sally Lowell's profile →
Citations per field
00.5×1.5×2.2×
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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

16 of 16 papers shown
#Work
1
Quantitative single-cell RNA-seq with unique molecular identifiers
Hit paper breakdown →
2013844
2
Single-Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity
Hit paper breakdown →
2016304
3 2020217
4 2018142
5 2016112
6 201584
7 201157
8 201750
9 202329
10 202226
11 202026
12 202214
13 19743
14 19862
15
[Indications on existence of a plasma factor promoting the proliferation of pluripotent stem cells].
19742
16 20241

About Simon Joost

Simon Joost is a scholar working on Molecular Biology, Urology, Cell Biology, Dermatology and Rehabilitation, having authored 16 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hair Growth and Disorders (5 papers), Single-cell and spatial transcriptomics (3 papers), melanin and skin pigmentation (3 papers), Hedgehog Signaling Pathway Studies (3 papers), Skin and Cellular Biology Research (3 papers), Wound Healing and Treatments (2 papers), Diabetes Management and Research (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Urology (296 citations), Rehabilitation (185 citations), Dermatology (213 citations), Cancer Research (301 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, Cell stem cell, Advances in experimental medicine and biology, Stem Cell Research & Therapy and Nature Communications.

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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