Klaus Lindauer

443 total citations
12 papers, 355 citations indexed

About

Klaus Lindauer is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Klaus Lindauer has authored 12 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Oncology. Recurrent topics in Klaus Lindauer's work include Pancreatic function and diabetes (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Gene Regulatory Network Analysis (2 papers). Klaus Lindauer is often cited by papers focused on Pancreatic function and diabetes (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Gene Regulatory Network Analysis (2 papers). Klaus Lindauer collaborates with scholars based in Germany, United States and France. Klaus Lindauer's co-authors include Romano T. Kroemer, Thomas Loerting, Klaus R. Liedl, Jürgen Sühnel, Michael Meyer, Maria T. Brandl, Ray Jupp, Ian Hayes, Simon Phipps and Hans-Christoph Schneider and has published in prestigious journals such as BMC Bioinformatics, Journal of Immunological Methods and American Journal of Respiratory Cell and Molecular Biology.

In The Last Decade

Klaus Lindauer

11 papers receiving 345 citations

Peers

Klaus Lindauer

ONCOL

GENET

HEMAT

IMMUN

Eloisi Caldas-Lopes United States

Roger H. Pak United States

Jacqueline E. Day United States

James S. Butler United States

Yen-Lin Lin Taiwan

Hong Lü United States

Rachel Dobson United Kingdom

K Gordon United States

Martin T. Haber United States

Eiji Nishiwaki Japan

Eloisi Caldas-Lopes United States

Klaus Lindauer

482 ×2.7

152 ×1.4

ONCOL

106 ×1.0

GENET

84 ×1.4

HEMAT

106 ×2.3

IMMUN

Citations per year, relative to Klaus Lindauer Klaus Lindauer (= 1×) peers Eloisi Caldas-Lopes

Countries citing papers authored by Klaus Lindauer

Since Specialization

Citations

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

Fields of papers citing papers by Klaus Lindauer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klaus Lindauer

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

All Works

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12 of 12 papers shown

Bobadilla, Ana Victoria Ponce, Ali Farnoud, Holger Fröhlich, et al.. (2025). Predictive AI in Clinical Pharmacology: A Call to Action to Develop Robust Benchmarking Practices. CPT Pharmacometrics & Systems Pharmacology. 15(1). e70155–e70155.

Gastine, Silke, et al.. (2021). LaTeX tutorial for the standardization and automation of population analysis reports. CPT Pharmacometrics & Systems Pharmacology. 10(11). 1310–1322. 2 indexed citations

Lindauer, Klaus, et al.. (2019). Development and Validation of an Image Analysis System for the Measurement of Cell Proliferation in Mammary Glands of Rats. Toxicologic Pathology. 47(5). 634–644. 5 indexed citations

Lindauer, Klaus & R. H. A. Becker. (2018). Insulin depot absorption modeling and pharmacokinetic simulation with insulin glargine 300 U/mL. International Journal of Clinical Pharmacology and Therapeutics. 57(1). 1–10. 9 indexed citations

Bartels, Thomas, et al.. (2016). Regulatory Forum Opinion Piece. Toxicologic Pathology. 44(7). 931–946. 3 indexed citations

Lindauer, Klaus, et al.. (2015). MONALISA for stochastic simulations of Petri net models of biochemical systems. BMC Bioinformatics. 16(1). 215–215. 16 indexed citations

Lindauer, Klaus, et al.. (2015). Quasi-Steady-State Analysis based on Structural Modules and Timed Petri Net Predict System’s Dynamics: The Life Cycle of the Insulin Receptor. Metabolites. 5(4). 766–793. 8 indexed citations

Lindauer, Klaus, Thomas Loerting, Klaus R. Liedl, & Romano T. Kroemer. (2001). Prediction of the structure of human Janus kinase 2 (JAK2) comprising the two carboxy-terminal domains reveals a mechanism for autoregulation. Protein Engineering Design and Selection. 14(1). 27–37. 133 indexed citations

Allen, K. Elizabeth, Simon Phipps, Hans-Christoph Schneider, et al.. (2001). Microarray Analysis of Eosinophils Reveals a Number of Candidate Survival and Apoptosis Genes. American Journal of Respiratory Cell and Molecular Biology. 25(4). 425–433. 71 indexed citations

10.

Lindauer, Klaus, Ashfaq A. Parkar, Ian Hayes, et al.. (2001). Analysis of cellular adhesion by microarray expression profiling. Journal of Immunological Methods. 250(1-2). 15–28. 9 indexed citations

11.

Brandl, Maria T., Klaus Lindauer, Michael Meyer, & Jürgen Sühnel. (1999). C-H...O and C-H...N interactions in RNA structures. Theoretical Chemistry Accounts. 101(1-3). 103–113. 69 indexed citations

12.

Lindauer, Klaus, et al.. (1996). HBexplore—a new tool for identifying and analysing hydrogen bonding patterns in biological macromolecules. Computer applications in the biosciences. 12(4). 281–289. 30 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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