Kim Lakeman

940 total citations
9 papers, 747 citations indexed

About

Kim Lakeman is a scholar working on Molecular Biology, Neurology and Immunology. According to data from OpenAlex, Kim Lakeman has authored 9 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Neurology and 2 papers in Immunology. Recurrent topics in Kim Lakeman's work include Barrier Structure and Function Studies (4 papers), Sphingolipid Metabolism and Signaling (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Kim Lakeman is often cited by papers focused on Barrier Structure and Function Studies (4 papers), Sphingolipid Metabolism and Signaling (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Kim Lakeman collaborates with scholars based in Netherlands, France and United States. Kim Lakeman's co-authors include Bert van het Hof, Helga E. de Vries, Arie Reijerkerk, Dirk Geerts, Gijs Kooij, Jack van Horssen, Eric Ronken, Joost Drexhage, Reina E. Mebius and Astrid E. Alewijnse and has published in prestigious journals such as Journal of Neuroscience, The EMBO Journal and The Journal of Immunology.

In The Last Decade

Kim Lakeman

9 papers receiving 742 citations

Peers

Kim Lakeman
Comparison fields: 5 of 72
  • Molecular Biology 431
  • Neurology 233
  • Oncology 110
  • Immunology 102
  • Pathology and Forensic Medicine 98
Replace Ginez A. González with:
Ginez A. González United Kingdom
Jack Mottahedeh United States
Maria Rosário Almeida Portugal
Xingxing Xu China
Peter Göttle Germany
Philip G. Nijland Netherlands
Rosanna Pescini Gobert Switzerland
Amber L. Rowse United States
Junli Liu China
Ginez A. González United Kingdom View profile →
Citations per field, relative to Kim Lakeman
Kim Lakeman · 1×
Citations per year, relative to Kim Lakeman
Kim Lakeman · 1×

Countries citing papers authored by Kim Lakeman

Since Specialization
Citations

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

Fields of papers citing papers by Kim Lakeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Lakeman

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Lakeman. A scholar is included among the top collaborators of Kim Lakeman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kim Lakeman. Kim Lakeman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 36
2 40
3 25
4 154
5 104
6 43
7 177
8 72
9 96

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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2026