Elin Lehrmann

5.4k citations
78 papers · 3.4k · h-index 35

Impact in

  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Aging top 2%

Papers in

Elin Lehrmann

76 papers receiving 3.4k citations

Peers

Elin Lehrmann
Comparison fields: 5 of 119
  • Neurology 521
  • Aging 94
  • Developmental Neuroscience 204
  • Biological Psychiatry 117
  • Cellular and Molecular Neuroscience 681
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Dan Liu China
Yuji Owada Japan
Francesc X. Soriano Spain
Mark H. G. Verheijen Netherlands
Seong-Woon Yu South Korea
Michal Hetman United States
Julie E. Simpson United Kingdom
M. Zameel Cader United Kingdom
Tim Magnus Germany
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Citations per field
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Citations per year

Countries citing papers authored by Elin Lehrmann

Since Specialization
Citations

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

Fields of papers citing papers by Elin Lehrmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013208
2 2018189
3 1998161
4 2017150
5 2018126
6 1997119
7 2013114
8 2012106
9 2011104
10 201496
11 199592
12 201186
13 201384
14 200180
15 201277
16 201470
17 201170
18 200361
19 201860
20 200759

About Elin Lehrmann

Elin Lehrmann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Physiology and Immunology, having authored 78 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Adipose Tissue and Metabolism (8 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), RNA modifications and cancer (7 papers), Neuroscience and Neuropharmacology Research (7 papers), RNA Research and Splicing (6 papers), MicroRNA in disease regulation (6 papers) and Mitochondrial Function and Pathology (5 papers). The work is most often cited by research in Neurology (521 citations), Aging (94 citations), Developmental Neuroscience (204 citations), Biological Psychiatry (117 citations) and Cellular and Molecular Neuroscience (681 citations). Elin Lehrmann has collaborated with scholars based in United States, Denmark and Israel. Frequent co-authors include Kevin G. Becker, Yongqing Zhang, Nils Henrik Diemer, Bente Finsen, Thomas Christensen, Myriam Gorospe, Jens Zimmer, Mark P. Mattson, William H. Wood and Kotb Abdelmohsen. Their work appears in journals such as PLoS ONE, Nature Communications, Nucleic Acids Research, Glia and Scientific 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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