Maryam Clausen

3.6k citations
21 papers · 2.1k indexed · 1 hit paper · h-index 15

Maryam Clausen

21 papers receiving 2.1k citations

Hit Papers

Single-Cell Transcriptome Profiling of Human Pancreatic I...9872016202620192022250500750

Peers

Maryam Clausen
Comparison fields: 5 of 106
  • Molecular Biology 1.4k
  • Endocrinology, Diabetes and Metabolism 301
  • Cancer Research 271
  • Surgery 742
  • Genetics 436
Replace Mauro J. Muraro with:
Mauro J. Muraro Netherlands
Åsa Segerstolpe United States
Léon van Gurp Netherlands
Françoise Carlotti Netherlands
Lars Grøntved Denmark
Kazunori Akimoto Japan
Alain Eychène France
Elora J. Weringer United States
Joseph T. Roland United States
Maria De La Luz Sierra United States
Maryam Clausen relative to Mauro J. Muraro Netherlands Mauro J. Muraro's profile →
Citations per field
00.5×2.5×
Mauro J. Muraro · 1×
Citations per year

Countries citing papers authored by Maryam Clausen

Since Specialization
Citations

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

Fields of papers citing papers by Maryam Clausen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Maryam Clausen, 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 Maryam Clausen Line = papers co-authored together Maryam Clausen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 202314
3 202133
4 20211
5 202126
6 202112
7 202038
8 2019144
9 2019143
10 2019205
11 201919
12 201857
13 201872
14 201863
15 201815
16 201869
17 201879
18 20179
19
Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetesbreakdown →
2016987
20 2015153

About Maryam Clausen

Maryam Clausen is a scholar working on General Dentistry, Neurology and Immunology, having authored 21 papers that have together received 2.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Diabetes and associated disorders (3 papers), Phagocytosis and Immune Regulation (3 papers), Pancreatic function and diabetes (3 papers), Extracellular vesicles in disease (2 papers), Single-cell and spatial transcriptomics (2 papers), Pluripotent Stem Cells Research (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Endocrinology, Diabetes and Metabolism (301 citations) and Cancer Research (271 citations). Maryam Clausen has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Alan Sabirsh, Anne‐Christine Andréasson, Xiaoyan Sun, Magnus Bjursell, Carina Ämmälä, Simone Picelli, Åsa Segerstolpe, Maria Kasper, Eva-Marie Andersson and David M. Smith.

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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