Dirk Tomandl

420 total citations
7 papers, 284 citations indexed

About

Dirk Tomandl is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Computational Theory and Mathematics. According to data from OpenAlex, Dirk Tomandl has authored 7 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Computational Theory and Mathematics. Recurrent topics in Dirk Tomandl's work include Monoclonal and Polyclonal Antibodies Research (3 papers), Computational Drug Discovery Methods (2 papers) and Receptor Mechanisms and Signaling (2 papers). Dirk Tomandl is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), Computational Drug Discovery Methods (2 papers) and Receptor Mechanisms and Signaling (2 papers). Dirk Tomandl collaborates with scholars based in United States, Germany and Austria. Dirk Tomandl's co-authors include Andreas Schober, Daniel J. Sall, Christopher M. Moxham, Mark Uhlik, Jonathan A. Lee, Andreas Schwienhorst, Achim Feurer, J. Michael Köhler, Michael Gebinoga and J.H. Kinney and has published in prestigious journals such as Journal of Medicinal Chemistry, Neural Networks and Frontiers in Chemistry.

In The Last Decade

Dirk Tomandl

7 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dirk Tomandl United States	6	113	58	27	27	25	7	284
Heng Ma United States	10	139 1.2×	65 1.1×	19 0.7×	24 0.9×	14 0.6×	29	345
Rahul Tripathi United States	11	83 0.7×	33 0.6×	39 1.4×	18 0.7×	15 0.6×	48	505
Jianzhen Li China	18	166 1.5×	71 1.2×	33 1.2×	26 1.0×	35 1.4×	73	1.2k
Nereida Rodríguez-Fernández Spain	7	128 1.1×	175 3.0×	49 1.8×	18 0.7×	23 0.9×	15	517
Yue Qiu China	16	358 3.2×	134 2.3×	24 0.9×	17 0.6×	19 0.8×	44	715
Limeng Pu United States	12	215 1.9×	211 3.6×	38 1.4×	17 0.6×	54 2.2×	27	419
Trias Thireou Greece	12	195 1.7×	20 0.3×	33 1.2×	25 0.9×	20 0.8×	38	447
Zhongjie Chen China	9	226 2.0×	108 1.9×	12 0.4×	24 0.9×	4 0.2×	25	404
Ming Ling China	10	81 0.7×	74 1.3×	20 0.7×	17 0.6×	13 0.5×	60	413
Shahbaz Ali Pakistan	13	133 1.2×	131 2.3×	19 0.7×	17 0.6×	11 0.4×	47	445

Countries citing papers authored by Dirk Tomandl

Since Specialization

Citations

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

Fields of papers citing papers by Dirk Tomandl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dirk Tomandl

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

All Works

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7 of 7 papers shown

1.

Djoumbou-Feunang, Yannick, J.H. Kinney, Pritam Chanda, et al.. (2023). Cheminformatics and artificial intelligence for accelerating agrochemical discovery. Frontiers in Chemistry. 11. 1292027–1292027. 12 indexed citations

2.

Song, Luyan, David G. Barrett, Karen L. Cox, et al.. (2020). A High-Throughput Assay for the Pancreatic Islet Beta-Cell Potassium Channel: Use in the Pharmacological Characterization of Insulin Secretagogues Identified from Phenotypic Screening. Assay and Drug Development Technologies. 19(1). 27–37. 2 indexed citations

3.

Lee, Jonathan A., Mark Uhlik, Christopher M. Moxham, Dirk Tomandl, & Daniel J. Sall. (2012). Modern Phenotypic Drug Discovery Is a Viable, Neoclassic Pharma Strategy. Journal of Medicinal Chemistry. 55(10). 4527–4538. 134 indexed citations

4.

Neumann, Thomas, et al.. (2005). Discovery of Thrombin Inhibitor Fragments from Chemical Microarray Screening. Letters in Drug Design & Discovery. 2(8). 590–594. 14 indexed citations

5.

Tomandl, Dirk & Andreas Schober. (2001). A Modified General Regression Neural Network (MGRNN) with new, efficient training algorithms as a robust ‘black box’-tool for data analysis. Neural Networks. 14(8). 1023–1034. 92 indexed citations

6.

Tomandl, Dirk, Andreas Schober, & Andreas Schwienhorst. (1997). Optimizing doped libraries by using genetic algorithms. Journal of Computer-Aided Molecular Design. 11(1). 29–38. 18 indexed citations

7.

Schober, Andreas, et al.. (1997). Systemintegration of microsystems/chip elements in miniaturized automata for high-throughput synthesis and screening in biology, biochemistry and chemistry. Microsystem Technologies. 4(1). 35–39. 12 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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