Tim Laußmann

635 citations
19 papers · 512 · h-index 13

Impact in

  • Toxicology top 5%
    • Forensic Toxicology and Drug Analysis
  • Cell Biology top 10%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
    • Muscle metabolism and nutrition

Papers in

Tim Laußmann

19 papers receiving 494 citations

Peers

Tim Laußmann
Comparison fields: 5 of 89
  • Toxicology 39
  • Cell Biology 190
  • Endocrinology, Diabetes and Metabolism 88
  • Physiology 75
  • Molecular Biology 186
Replace Saburo Omata with:
Saburo Omata Japan
Ayumi Fukuda Japan
Aya Miyoshi Japan
F. R. Mangan United Kingdom
Ingeborg A. Brand Germany
Mikalai Malinouski United States
Victor Ding United States
Iwao Nakatsuka Japan
Rabinder N. Kurl United States
Dimitra J. Mitsiou Greece
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Citations per field
00.5×3.9×
Saburo Omata · 1×
Citations per year

Countries citing papers authored by Tim Laußmann

Since Specialization
Citations

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

Fields of papers citing papers by Tim Laußmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201480
2 200554
3 199650
4 199749
5 201040
6 200035
7 200035
8 200234
9 199828
10 200427
11 201716
12 201116
13 201412
14 201811
15 201410
16 202110
17 20223
18 20251
19
150 years of butterfly monitoring in Wuppertal - Effects of climate and landscape change (Lepidoptera).
20101

About Tim Laußmann

Tim Laußmann is a scholar working on Cell Biology, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Ecological Modeling and Organic Chemistry, having authored 19 papers that have together received 512 indexed citations. Recurring topics across this work include Cellular transport and secretion (3 papers), Species Distribution and Climate Change (3 papers), Entomological Studies and Ecology (2 papers), Hormonal and reproductive studies (2 papers), Trace Elements in Health (2 papers), Cellular Mechanics and Interactions (2 papers), Muscle Physiology and Disorders (2 papers) and Plant and animal studies (2 papers). The work is most often cited by research in Toxicology (39 citations), Cell Biology (190 citations), Endocrinology, Diabetes and Metabolism (88 citations), Physiology (75 citations) and Molecular Biology (186 citations). Tim Laußmann has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Günter Vogel, Andreas Thomas, John R. Falck, K. Kishta Reddy, Wilhelm Schänzer, Katja Walpurgis, Jürgen Schrader, Komandla Malla Reddy, Mario Thevis and Oliver Krug. Their work appears in journals such as Drug Testing and Analysis, Journal of Insect Conservation, Biochemical Journal, The FASEB Journal and Journal of Biological Chemistry.

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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