Daniela Richter

1.4k total citations
12 papers, 114 citations indexed

About

Daniela Richter is a scholar working on Molecular Biology, Artificial Intelligence and Pathology and Forensic Medicine. According to data from OpenAlex, Daniela Richter has authored 12 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Artificial Intelligence and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Daniela Richter's work include Genetic factors in colorectal cancer (2 papers), Landslides and related hazards (2 papers) and Ethics in Clinical Research (2 papers). Daniela Richter is often cited by papers focused on Genetic factors in colorectal cancer (2 papers), Landslides and related hazards (2 papers) and Ethics in Clinical Research (2 papers). Daniela Richter collaborates with scholars based in Germany, Switzerland and United Kingdom. Daniela Richter's co-authors include Christian Kohl, Petra Knaup, Graeme Whittington, Kevin J. Edwards, Hanno Glimm, Christof von Kalle, Stefan Gröschel, Claudia Scholl, Carsten Grüllich and Michael Röring and has published in prestigious journals such as Annals of Oncology, Leukemia and Journal of Archaeological Science.

In The Last Decade

Daniela Richter

10 papers receiving 112 citations

Peers

Daniela Richter

MB

PHYSI

PHEOH

AI

GENET

D. Craig Young United States

Celina Benavente Spain

Tina Audley United Kingdom

Gabrielle Bertier France

Lauren Sanders United States

Carolien Duetz Netherlands

David A. Moore United Kingdom

David C. Shyr United States

Dominic Nelson Canada

Fionnuala A. McDyer United Kingdom

D. Craig Young United States

Daniela Richter

22 ×0.9

MB

3 ×0.1

PHYSI

24 ×1.2

PHEOH

17 ×0.9

AI

8 ×0.5

GENET

Citations per year, relative to Daniela Richter Daniela Richter (= 1×) peers D. Craig Young

Countries citing papers authored by Daniela Richter

Since Specialization

Citations

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

Fields of papers citing papers by Daniela Richter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Richter

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Richter. A scholar is included among the top collaborators of Daniela Richter 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 Daniela Richter. Daniela Richter 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

1.

Widmann, Thomas J., Karl Hackmann, Sylke Winkler, et al.. (2025). Long-read genome and RNA sequencing resolve a pathogenic intronic germline LINE-1 insertion in APC. npj Genomic Medicine. 10(1). 30–30. 1 indexed citations

2.

Horak, Peter, Simon Kreutzfeldt, Andreas Möck, et al.. (2019). Comprehensive genomic and transcriptomic profiling in advanced-stage cancers and rare malignancies: Clinical results from the MASTER trial of the German Cancer Consortium. Annals of Oncology. 30. vii24–vii24. 2 indexed citations

3.

Brinker, Titus J., et al.. (2018). Patient-Centered Mobile Health Data Management Solution for the German Health Care System (The DataBox Project). JMIR Cancer. 4(1). e10160–e10160. 2 indexed citations

4.

Fröhling, Stefan, Thomas F.E. Barth, Stefan Gröschel, et al.. (2017). CDK4/6 inhibition in locally advanced/metastatic chordoma (NCT PMO-1601). Annals of Oncology. 28. v538–v538. 2 indexed citations

5.

Kordes, Maximilian, Michael Röring, Christoph Heining, et al.. (2015). Cooperation of BRAFF595L and mutant HRAS in histiocytic sarcoma provides new insights into oncogenic BRAF signaling. Leukemia. 30(4). 937–946. 34 indexed citations

6.

Schickhardt, Christoph, Stefan Wiemann, Claus R. Bartram, et al.. (2015). So rare we need to hunt for them: reframing the ethical debate on incidental findings. Genome Medicine. 7(1). 83–83. 11 indexed citations

7.

Kohl, Christian, et al.. (2013). Pseudonymization of patient identifiers for translational research. BMC Medical Informatics and Decision Making. 13(1). 75–75. 36 indexed citations

8.

Richter, Daniela. (2011). Domesticating the Public: Women’s Discourse on Gender Roles in Nineteenth-Century Germany.

9.

Velten, Lars, Hannah J. Uckelmann, Bingqing Zhao, et al.. (2009). BBF RFC 41: Units for Promoter Measurement in Mammalian Cells. 1 indexed citations

10.

Breunig, Martin, et al.. (2008). Development of suitable information systems for early warning systems (EGIFF). OPUS (Augsburg University). 1 indexed citations

11.

Breunig, Martin, et al.. (2008). Towards an information system for early warning of landslides. OPUS (Augsburg University). 476–481. 1 indexed citations

12.

Edwards, Kevin J., et al.. (2005). Palaeoenvironments, the archaeological record and cereal pollen detection at Clickimin, Shetland, Scotland. Journal of Archaeological Science. 32(12). 1741–1756. 23 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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