Pascal Kahlem

30 papers receiving 1k citations

Peers

Pascal Kahlem
Comparison fields: 5 of 88
  • Cellular and Molecular Neuroscience 368
  • Molecular Biology 326
  • Physiology 97
  • Cell Biology 40
  • Health Information Management 23
Replace Heinz-Ulrich G. Weier with:
Heinz-Ulrich G. Weier United States
Lea L. Latham United States
Leslie Matalonga Spain
Robert D. Mashal United States
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M R James United States
Ivo F.A.C. Fokkema Netherlands
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Pascal Kahlem relative to Heinz-Ulrich G. Weier United States Heinz-Ulrich G. Weier's profile →
Citations per field
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Heinz-Ulrich G. Weier · 1×
Citations per year

Countries citing papers authored by Pascal Kahlem

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Kahlem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996173
2 1998162
3 2002142
4 2002102
5 2004102
6 201070
7 202156
8 200630
9 200628
10 202028
11 200025
12 200925
13 202122
14 200619
15 199418
16
Transglutaminase as the agent of neurodegenerative diseases due to polyglutamine expansion.
199811
17 200710
18
The challenges of systems biology : community efforts to harness biological complexity
20098
19
Readjusting the localization of long QT syndrome gene on chromosome 11p15.
19956
20 20096

About Pascal Kahlem

Pascal Kahlem is a scholar working on Information Systems and Management, Cellular and Molecular Neuroscience, Information Systems, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Scientific Computing and Data Management (6 papers), Down syndrome and intellectual disability research (5 papers), Genetic Neurodegenerative Diseases (5 papers), Research Data Management Practices (4 papers), Gene Regulatory Network Analysis (3 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Animal testing and alternatives (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (368 citations), Molecular Biology (326 citations), Physiology (97 citations), Cell Biology (40 citations) and Health Information Management (23 citations). Pascal Kahlem has collaborated with scholars based in United Kingdom, France and Germany. Frequent co-authors include Philippe Djian, Howard Green, Guylaine Hoffner, Clemens A. Schmitt, Bernd Dörken, Hans R. Lehrach, Ewan Birney, Stuart J. Newfeld, Marie‐Laure Yaspo and James Adjaye. Their work appears in journals such as F1000Research, Annals of the New York Academy of Sciences, Journal of Clinical Investigation, PLoS Computational Biology and Value in Health.

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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