Kim Lemmens

703 citations
19 papers · 516 indexed · h-index 13
Topics
AI in cancer detection (7 papers)Digital Radiography and Breast Imaging (7 papers)Protease and Inhibitor Mechanisms (6 papers)
Partner nations
BelgiumRussiaDenmark

In The Last Decade

Kim Lemmens

19 papers receiving 515 citations

Peers

Kim Lemmens
Comparison fields: 5 of 86
  • Molecular Biology 169
  • Cellular and Molecular Neuroscience 145
  • Cancer Research 123
  • Neurology 87
  • Cell Biology 81
Replace Mieke Verslegers with:
Mieke Verslegers Belgium
Naoki Nakaya United States
Jason Charish Canada
David L. Schonberg United States
Chadwick Mullins United States
Annabel Christ Germany
Marie‐Claude Amoureux France
Eliane Charrat France
María Cristina Ortega Spain
Karen Gorse United States
Kim Lemmens relative to Mieke Verslegers Belgium Mieke Verslegers's profile →
Citations per field
00.5×1.6×
Mieke Verslegers · 1×
Citations per year

Countries citing papers authored by Kim Lemmens

Since Specialization
Citations

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

Fields of papers citing papers by Kim Lemmens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Lemmens

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Lemmens. A scholar is included among the top collaborators of Kim Lemmens 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 Lemmens. Kim Lemmens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 5
2 21
3 3
4 17
5 30
6 14
7 28
8 5
9 25
10 26
11 36
12
MMP-2 and MT1-MMP as axonal outgrowth-promoting molecules in the neuroretina
1
13 12
14 17
15 140
16 3
17 13
18 91
19 29

About Kim Lemmens

Kim Lemmens is a scholar working on Developmental Neuroscience, Cancer Research and Immunology and Allergy, having authored 19 papers that have together received 516 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Digital Radiography and Breast Imaging (7 papers) and Protease and Inhibitor Mechanisms (6 papers). The work is most often cited by research in Developmental Neuroscience (71 citations), Neurology (87 citations) and Cancer Research (123 citations). Kim Lemmens has collaborated with scholars based in Belgium, Russia and Denmark. Frequent co-authors include Lieve Moons, Inge Van Hove, Mieke Verslegers, Sarah Van de Velde, Lies De Groef, Ilse Bollaerts, Jessie Van houcke, Veerle Darras, Hilde Bosmans and Lien Andries. Their work appears in journals such as The Journal of Comparative Neurology, Scientific Reports and Journal of Neurochemistry.

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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