Elin Lehrmann

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

Impact in

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

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 12

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
Replace Dan Liu with:
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
Elin Lehrmann relative to Dan Liu China Dan Liu's profile →
Citations per field
00.5×1.5×1.8×
Dan Liu · 1×
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-authorship network

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
#Work
1 20250
2 202410
3 20240
4 20233
5 20228
6 20205
7 201850
8 201727
9 201719
10 201655
11 201531
12 201470
13 201277
14 2011104
15 201030
16 201020
17 200518
18 200129
19 1998161
20 199592

About Elin Lehrmann

Elin Lehrmann is a scholar working on Aging, Neurology, Biological Psychiatry, Cellular and Molecular Neuroscience and Toxicology, 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), Neuroscience and Neuropharmacology Research (7 papers), RNA modifications and cancer (7 papers), MicroRNA in disease regulation (6 papers), RNA Research and Splicing (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, Jens Zimmer, Mark P. Mattson, Myriam Gorospe, 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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