Robin Liechti

4.8k total citations
35 papers, 1.5k citations indexed

About

Robin Liechti is a scholar working on Molecular Biology, Plant Science and Insect Science. According to data from OpenAlex, Robin Liechti has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Plant Science and 10 papers in Insect Science. Recurrent topics in Robin Liechti's work include Insect-Plant Interactions and Control (10 papers), Plant Parasitism and Resistance (9 papers) and Plant and animal studies (4 papers). Robin Liechti is often cited by papers focused on Insect-Plant Interactions and Control (10 papers), Plant Parasitism and Resistance (9 papers) and Plant and animal studies (4 papers). Robin Liechti collaborates with scholars based in Switzerland, United States and Germany. Robin Liechti's co-authors include Edward E. Farmer, Aurélie Gfeller, Ioannis Xénarios, Dmitry Kuznetsov, Heidi E. L. Lischer, Rémy Bruggmann, Vassilios Ioannidis, Cédric Simillion, Lou Götz and Anne Gleizes and has published in prestigious journals such as Science, Bioinformatics and Cancer Research.

In The Last Decade

Robin Liechti

33 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robin Liechti Switzerland 21 723 565 199 150 142 35 1.5k
Ying Shi China 25 910 1.3× 328 0.6× 192 1.0× 69 0.5× 49 0.3× 78 1.6k
Jason M. Tennessen United States 21 987 1.4× 201 0.4× 298 1.5× 132 0.9× 70 0.5× 52 2.2k
Francis Rajamohan United States 21 1.1k 1.5× 456 0.8× 631 3.2× 147 1.0× 76 0.5× 38 1.6k
Tingming Liang China 23 706 1.0× 94 0.2× 80 0.4× 38 0.3× 65 0.5× 68 1.3k
Carol S. Ringelberg United States 24 1.7k 2.4× 1.1k 2.0× 85 0.4× 247 1.6× 26 0.2× 33 2.6k
Arnab Mukhopadhyay India 24 1.8k 2.4× 722 1.3× 42 0.2× 459 3.1× 48 0.3× 51 3.0k
Isabelle Riezman Switzerland 18 1.2k 1.6× 153 0.3× 72 0.4× 47 0.3× 80 0.6× 22 1.6k
Yhong‐Hee Shim South Korea 22 1.1k 1.5× 137 0.2× 29 0.1× 133 0.9× 87 0.6× 78 1.7k
Uma Gaur China 20 894 1.2× 89 0.2× 77 0.4× 35 0.2× 54 0.4× 50 1.7k

Countries citing papers authored by Robin Liechti

Since Specialization
Citations

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

Fields of papers citing papers by Robin Liechti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robin Liechti

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

All Works

20 of 20 papers shown
1.
Morfouace, Marie, Daniel Schulz, Nils Eling, et al.. (2023). 2266P IMMUcan consortium: Focus on the first results of the non-small cell lung cancer (NSCLC) cohort. Annals of Oncology. 34. S1164–S1164. 2 indexed citations
2.
Morfouace, Marie, Laurence Buisseret, Benjamin Besse, et al.. (2023). 195P IMMUcan: Toward a better understanding of the tumor microenvironment to inform precision oncology approaches. Immuno-Oncology Technology. 20. 100654–100654.
3.
Camps, J., Floriane Noël, Robin Liechti, et al.. (2022). Meta-Analysis of Human Cancer Single-Cell RNA-Seq Datasets Using the IMMUcan Database. Cancer Research. 83(3). 363–373. 20 indexed citations
4.
Ilmjärv, Sten, Fiona Augsburger, Jerven Bolleman, et al.. (2019). Navigating in vitro bioactivity data by investigating available resources using model compounds. Scientific Data. 6(1). 45–45. 2 indexed citations
5.
Codesido, Santiago, Víctor González‐Ruiz, A. García, et al.. (2019). DynaStI: A Dynamic Retention Time Database for Steroidomics. Metabolites. 9(5). 85–85. 20 indexed citations
6.
Jan, Maxime, Yann Emmenegger, Nicolas Guex, et al.. (2018). A systems genetics resource and analysis of sleep regulation in the mouse. PLoS Biology. 16(8). e2005750–e2005750. 36 indexed citations
7.
Simillion, Cédric, Robin Liechti, Heidi E. L. Lischer, Vassilios Ioannidis, & Rémy Bruggmann. (2017). Avoiding the pitfalls of gene set enrichment analysis with SetRank. BMC Bioinformatics. 18(1). 151–151. 77 indexed citations
8.
Wigger, Leonore, Céline Cruciani‐Guglielmacci, Jessica Denom, et al.. (2017). Plasma Dihydroceramides Are Diabetes Susceptibility Biomarker Candidates in Mice and Humans. Cell Reports. 18(9). 2269–2279. 173 indexed citations
9.
Dhingra, Madhur, Jean Artois, Timothy P. Robinson, et al.. (2016). Global mapping of highly pathogenic avian influenza H5N1 and H5Nx clade 2.3.4.4 viruses with spatial cross-validation. eLife. 5. 42 indexed citations
10.
Crespo, Isaac, Lou Götz, Robin Liechti, et al.. (2016). Identifying biological mechanisms for favorable cancer prognosis using non-hypothesis-driven iterative survival analysis. npj Systems Biology and Applications. 2(1). 16037–16037. 5 indexed citations
11.
Dorier, Julien, Isaac Crespo, Anne Niknejad, et al.. (2016). Boolean regulatory network reconstruction using literature based knowledge with a genetic algorithm optimization method. BMC Bioinformatics. 17(1). 410–410. 27 indexed citations
12.
Rodius, Sophie, Lou Götz, Robin Liechti, et al.. (2016). Analysis of the dynamic co-expression network of heart regeneration in the zebrafish. Scientific Reports. 6(1). 26822–26822. 20 indexed citations
13.
Claes, Filip, Dmitry Kuznetsov, Robin Liechti, et al.. (2014). The EMPRES-i genetic module: a novel tool linking epidemiological outbreak information and genetic characteristics of influenza viruses. Database. 2014(0). bau008–bau008. 27 indexed citations
14.
Sturm, Dorothée, Lorella Marselli, Florian Ehehalt, et al.. (2013). Improved Protocol For Laser Microdissection Of Human Pancreatic Islets From Surgical Specimens. Journal of Visualized Experiments. 18 indexed citations
15.
Bugliani, Marco, Robin Liechti, Hwanju Cheon, et al.. (2012). Microarray analysis of isolated human islet transcriptome in type 2 diabetes and the role of the ubiquitin–proteasome system in pancreatic beta cell dysfunction. Molecular and Cellular Endocrinology. 367(1-2). 1–10. 68 indexed citations
16.
Liechti, Robin, Anne Gleizes, Dmitry Kuznetsov, et al.. (2010). OpenFluDB, a database for human and animal influenza virus. Database. 2010(0). baq004–baq004. 30 indexed citations
17.
Gfeller, Aurélie, et al.. (2010). Jasmonate Biochemical Pathway. Science Signaling. 3(109). cm3–cm3. 141 indexed citations
18.
Bugliani, Marco, Matilde Masini, Robin Liechti, et al.. (2009). The direct effects of tacrolimus and cyclosporin A on isolated human islets: A functional, survival and gene expression study. Islets. 1(2). 106–110. 29 indexed citations
19.
Gattiker, Alexandre, Leandro C. Hermida, Robin Liechti, et al.. (2009). MIMAS 3.0 is a Multiomics Information Management and Annotation System. BMC Bioinformatics. 10(1). 151–151. 14 indexed citations
20.
Sclep, Gert, Joke Allemeersch, Robin Liechti, et al.. (2007). CATMA, a comprehensive genome-scale resource for silencing and transcript profiling of Arabidopsis genes. BMC Bioinformatics. 8(1). 400–400. 37 indexed citations

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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