Thomas Lingner

4.1k citations
49 papers · 2.0k · h-index 25

Impact in

Papers in

    • Genomics and Phylogenetic Studies 12
    • RNA Research and Splicing 9
    • RNA and protein synthesis mechanisms 8
    • Peroxisome Proliferator-Activated Receptors 6
    • Machine Learning in Bioinformatics 6
    • RNA modifications and cancer 5
    • Microbial Community Ecology and Physiology 5

Thomas Lingner

48 papers receiving 1.9k citations

Peers

Thomas Lingner
Comparison fields: 5 of 128
  • Cognitive Neuroscience 371
  • Dermatology 157
  • Molecular Biology 1.1k
  • Human-Computer Interaction 86
  • Cellular and Molecular Neuroscience 200
Replace Noriyuki Matsuda with:
Noriyuki Matsuda Japan
Stephen Hughes United Kingdom
Giulio Pavesi Italy
Chun‐Chuan Chen Taiwan
Tobias Hildebrandt Germany
Su Kyoung Kim South Korea
Chunyun Wu China
L Müller Netherlands
Dongdong Li China
Stephan A. Müller Germany
Thomas Lingner relative to Noriyuki Matsuda Japan Noriyuki Matsuda's profile →
Citations per field
00.5×5.6×
Noriyuki Matsuda · 1×
Citations per year

Countries citing papers authored by Thomas Lingner

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Lingner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004373
2 2018165
3 2014144
4 2011100
5 200980
6 201676
7 200859
8 201856
9 201254
10 200653
11 201650
12 201248
13 200847
14 201644
15 201140
16 200939
17 200838
18 201938
19 201138
20 201536

About Thomas Lingner

Thomas Lingner is a scholar working on Molecular Biology, Ecology, Surgery, Physiology and Genetics, having authored 49 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (12 papers), RNA Research and Splicing (9 papers), RNA and protein synthesis mechanisms (8 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Machine Learning in Bioinformatics (6 papers), RNA modifications and cancer (5 papers), Microbial Community Ecology and Physiology (5 papers) and Tryptophan and brain disorders (3 papers). The work is most often cited by research in Cognitive Neuroscience (371 citations), Dermatology (157 citations), Molecular Biology (1.1k citations), Human-Computer Interaction (86 citations) and Cellular and Molecular Neuroscience (200 citations). Thomas Lingner has collaborated with scholars based in Germany, Norway and Switzerland. Frequent co-authors include Peter Meinicke, Matthias Kaper, H. Ritter, Sigrun Reumann, Gabriela Salinas, Sven Thoms, Katharina J. Hoff, Maike Tech, Kathrin Petra Aßhauer and Julia Hofhuis. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, Nucleic Acids Research, Future Generation Computer Systems and PLoS Genetics.

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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