Jan Lankelma

3.5k citations
59 papers · 2.8k indexed · h-index 32

Impact in

  • Oncology top 5%
    • Drug Transport and Resistance Mechanisms
    • Memory and Neural Mechanisms
    • Neural dynamics and brain function
    • Sleep and Wakefulness Research

Papers in

Jan Lankelma

59 papers receiving 2.7k citations

Peers

Jan Lankelma
Comparison fields: 5 of 140
  • Oncology 918
  • Cognitive Neuroscience 642
  • Cellular and Molecular Neuroscience 471
  • Molecular Biology 1.2k
  • Modeling and Simulation 65
Replace Mark D. Johnson with:
Mark D. Johnson United States
Joseph Lin United States
Yoshio Sakurai Japan
Jörg Geiger Germany
Nathalie Cartier France
Kimmo J. Hatanpaa United States
Wolfgang Link Spain
Jeffrey T. Henderson Canada
Jianfeng Lü United States
Marjan Slak Rupnik Slovenia
Jan Lankelma relative to Mark D. Johnson United States Mark D. Johnson's profile →
Citations per field
00.5×8.4×
Mark D. Johnson · 1×
Citations per year

Countries citing papers authored by Jan Lankelma

Since Specialization
Citations

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

Fields of papers citing papers by Jan Lankelma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20169
2 20147
3 20137
4 201233
5 201076
6 200732
7 2006278
8 20046
9 2004117
10 200318
11 200378
12 200215
13 200270
14 19967
15 199529
16 199321
17 199033
18 199017
19 198941
20 198732

About Jan Lankelma

Jan Lankelma is a scholar working on Oncology, Sensory Systems, Pharmacology, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health, having authored 59 papers that have together received 2.8k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (19 papers), Memory and Neural Mechanisms (10 papers), Neural dynamics and brain function (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Pharmacological Effects and Toxicity Studies (8 papers), Protein Interaction Studies and Fluorescence Analysis (6 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Nanoparticle-Based Drug Delivery (4 papers). The work is most often cited by research in Oncology (918 citations), Cognitive Neuroscience (642 citations), Cellular and Molecular Neuroscience (471 citations), Molecular Biology (1.2k citations) and Modeling and Simulation (65 citations). Jan Lankelma has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Cyriel M. A. Pennartz, Hans V. Westerhoff, Herbert M. Pinedo, Carien S. Lansink, Jorrit J. Hornberg, Frank J. Bruggeman, Pieter M. Goltstein, Henk Dekker, Bruce L. McNaughton and Henk J. Broxterman. Their work appears in journals such as European Journal of Biochemistry, Journal of Neuroscience, Cancer Letters, Biochemical Pharmacology and Journal of Chromatography A.

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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