Thomas Ragg

3.7k total citations · 1 hit paper
13 papers, 2.7k citations indexed

About

Thomas Ragg is a scholar working on Artificial Intelligence, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Thomas Ragg has authored 13 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Thomas Ragg's work include Neural Networks and Applications (3 papers), Neurobiology and Insect Physiology Research (2 papers) and Cancer Cells and Metastasis (2 papers). Thomas Ragg is often cited by papers focused on Neural Networks and Applications (3 papers), Neurobiology and Insect Physiology Research (2 papers) and Cancer Cells and Metastasis (2 papers). Thomas Ragg collaborates with scholars based in Germany, United Kingdom and United States. Thomas Ragg's co-authors include Martin Granzow, Wolfram Menzel, Marcus Gassmann, Ruediger Salowsky, Odilo Mueller, Andreas Schröeder, Susanne Stocker, Michael J. Leiber, Christoph A. Klein and H Arnholdt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

Thomas Ragg

13 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The RIN: an RNA integrity number for assigning integrity values to RNA measurements

2006 1.9k citations Andreas Schröeder, Odilo Mueller et al. BMC Molecular Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Ragg Germany	9	1.4k	701	524	307	239	13	2.7k
Martin Granzow Germany	21	2.2k 1.5×	749 1.1×	732 1.4×	518 1.7×	245 1.0×	42	3.7k
Andrew McPherson Canada	12	1.8k 1.3×	836 1.2×	350 0.7×	366 1.2×	188 0.8×	28	2.8k
Alexey A. Larionov United Kingdom	20	965 0.7×	440 0.6×	471 0.9×	547 1.8×	189 0.8×	49	2.0k
Bin Hu China	32	1.7k 1.2×	429 0.6×	393 0.8×	314 1.0×	201 0.8×	148	3.3k
Joseph Foster United States	23	2.0k 1.4×	285 0.4×	402 0.8×	361 1.2×	238 1.0×	41	3.5k
Oussema Souiai Tunisia	7	1.7k 1.2×	508 0.7×	300 0.6×	217 0.7×	186 0.8×	10	2.6k
Olena Morozova Canada	14	1.4k 1.0×	449 0.6×	227 0.4×	284 0.9×	154 0.6×	21	2.2k
Renée X. de Menezes Netherlands	31	2.4k 1.7×	982 1.4×	426 0.8×	372 1.2×	135 0.6×	84	4.1k
Thérèse M.F. Tuohy United States	22	2.0k 1.4×	353 0.5×	1.0k 1.9×	542 1.8×	398 1.7×	41	3.8k
Claudio Santoro Italy	31	3.1k 2.2×	1.2k 1.7×	299 0.6×	428 1.4×	174 0.7×	90	4.1k

Countries citing papers authored by Thomas Ragg

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Ragg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Ragg

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Weckermann, Dorothea, Bernhard Polzer, Thomas Ragg, et al.. (2009). Perioperative Activation of Disseminated Tumor Cells in Bone Marrow of Patients With Prostate Cancer. Journal of Clinical Oncology. 27(10). 1549–1556. 118 indexed citations

2.

Fuhrmann, Christine, Oleg Schmidt‐Kittler, Nikolas H. Stoecklein, et al.. (2008). High-resolution array comparative genomic hybridization of single micrometastatic tumor cells. Nucleic Acids Research. 36(7). e39–e39. 45 indexed citations

3.

Schröeder, Andreas, Odilo Mueller, Susanne Stocker, et al.. (2006). The RIN: an RNA integrity number for assigning integrity values to RNA measurements. BMC Molecular Biology. 7(1). 3–3. 1949 indexed citations breakdown →

4.

Padberg, Frank, et al.. (2004). Using machine learning for estimating the defect content after an inspection. IEEE Transactions on Software Engineering. 30(1). 17–28. 17 indexed citations

5.

Schmidt‐Kittler, Oleg, Thomas Ragg, Martin Granzow, et al.. (2003). From latent disseminated cells to overt metastasis: Genetic analysis of systemic breast cancer progression. Proceedings of the National Academy of Sciences. 100(13). 7737–7742. 493 indexed citations

6.

Wiemer, J., Falk Schubert, Martin Granzow, et al.. (2003). Informatics United. Methods of Information in Medicine. 42(2). 126–133. 8 indexed citations

7.

Ragg, Thomas, et al.. (2002). Bayesian learning for sales rate prediction for thousands of retailers. Neurocomputing. 43(1-4). 127–144. 9 indexed citations

8.

Ragg, Thomas, et al.. (2002). Automatic determination of optimal network topologies based on information theory and evolution. 549–555. 6 indexed citations

9.

Ragg, Thomas. (2002). Bayesian learning and evolutionary parameter optimization. 15(1). 61–74. 7 indexed citations

10.

Ragg, Thomas, et al.. (1996). Learning Musical Structure and Style by Recognition, Prediction and Evolution. The Journal of the Abraham Lincoln Association. 1996. 59–62. 10 indexed citations

11.

Malaka, Rainer, Thomas Ragg, & Martin Hammer. (1995). Kinetic models of odor transduction implemented as artificial neural networks. Biological Cybernetics. 73(3). 195–207. 20 indexed citations

12.

Malaka, Rainer, Thomas Ragg, & Martin Hammer. (1995). Kinetic models of odor transduction implemented as artificial neural networks. Biological Cybernetics. 73(3). 195–207. 1 indexed citations

13.

Malaka, Rainer, Thomas Ragg, & Martin Hammer. (1994). A Model for Chemosensory Reception. Neural Information Processing Systems. 7. 61–68. 2 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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