Maria Ericsson

12.5k citations
101 papers · 8.2k indexed · 3 hit papers · h-index 44

Impact in

Papers in

Maria Ericsson

93 papers receiving 8.0k citations

Hit Papers

The Human and Mouse Enteric Nervous System at Single-Cell Resolution 2020 · 337 citations
3372014202620182022200400600

Peers

Maria Ericsson
Comparison fields: 5 of 146
  • Virology 622
  • Cancer Research 1.1k
  • Molecular Biology 4.3k
  • Neurology 443
  • Cell Biology 869
Replace Luis Del Valle with:
Luis Del Valle United States
Joseph Alroy United States
Thomas Giese Germany
Takashi Nagasawa Japan
Pekka Kujala Netherlands
Hong Yi China
Dale L. Greiner United States
Jon D. Laman Netherlands
Takuro Wada Japan
Jirô Imanishi Japan
Maria Ericsson relative to Luis Del Valle United States Luis Del Valle's profile →
Citations per field
00.5×1.5×2.0×
Luis Del Valle · 1×
Citations per year

Countries citing papers authored by Maria Ericsson

Since Specialization
Citations

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

Fields of papers citing papers by Maria Ericsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20252
4 20240
5 20247
6 202342
7 202325
8 20239
9 202310
10 20230
11 20231
12 2021155
13 2020187
14 202064
15
Mesenchymal Stromal Cell Exosomes Ameliorate Experimental Bronchopulmonary Dysplasia and Restore Lung Function through Macrophage Immunomodulation
Hit paper breakdown →
2017460
16 2017130
17 2017182
18 2012127
19 1996221
20 199552

About Maria Ericsson

Maria Ericsson is a scholar working on Cell Biology, Virology, Neurology, Neurology and Developmental Neuroscience, having authored 101 papers that have together received 8.2k indexed citations. Recurring topics across this work include Cellular transport and secretion (17 papers), Parkinson's Disease Mechanisms and Treatments (9 papers), Extracellular vesicles in disease (9 papers), Lipid Membrane Structure and Behavior (9 papers), Alzheimer's disease research and treatments (8 papers), Herpesvirus Infections and Treatments (7 papers), RNA Interference and Gene Delivery (6 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Virology (622 citations), Cancer Research (1.1k citations), Molecular Biology (4.3k citations), Neurology (443 citations) and Cell Biology (869 citations). Maria Ericsson has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Gareth Griffiths, Xandra O. Breakefield, Casey A. Maguire, Bakhos A. Tannous, Beate Sodeik, Jacomine Krijnse‐Locker, Charles Pin‐Kuang Lai, John W. Chen, Shilpa Prabhakar and G. Hiller. Their work appears in journals such as Journal of Virology, Blood, Alzheimer s & Dementia, The Journal of Cell Biology and PLoS ONE.

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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