Dietrich Herrmann

534 total citations
9 papers, 106 citations indexed

About

Dietrich Herrmann is a scholar working on Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dietrich Herrmann has authored 9 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dietrich Herrmann's work include Monoclonal and Polyclonal Antibodies Research (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Glycosylation and Glycoproteins Research (1 paper). Dietrich Herrmann is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Glycosylation and Glycoproteins Research (1 paper). Dietrich Herrmann collaborates with scholars based in Germany, Czechia and Italy. Dietrich Herrmann's co-authors include Anselm Doering-Manteuffel, Monika Brüggemann, Christiane Pott, Henrik Knecht, Anton W. Langerak, Nikos Darzentas, Patricia J.T.A. Groenen, Leopold Sellner, Andrea Grioni and Tomáš Reigl and has published in prestigious journals such as Blood, Bioinformatics and PLoS ONE.

In The Last Decade

Dietrich Herrmann

8 papers receiving 98 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dietrich Herrmann 47 38 29 25 22 9 106
Lesley Ann Sutton 43 0.9× 57 1.5× 34 1.2× 27 1.1× 33 1.5× 8 113
Timothy J. Triche 43 0.9× 63 1.7× 45 1.6× 12 0.5× 25 1.1× 4 107
Bella Biderman 48 1.0× 56 1.5× 35 1.2× 23 0.9× 32 1.5× 46 115
Kamil Kaplanov 44 0.9× 67 1.8× 42 1.4× 33 1.3× 41 1.9× 22 138
Jaime Verdú‐Amorós 74 1.6× 39 1.0× 26 0.9× 62 2.5× 14 0.6× 10 131
Victor Enciso-Mora 26 0.6× 38 1.0× 16 0.6× 20 0.8× 51 2.3× 4 113
Chiara Pavoni 18 0.4× 38 1.0× 18 0.6× 33 1.3× 31 1.4× 18 117
Mark Yan 60 1.3× 25 0.7× 29 1.0× 96 3.8× 34 1.5× 8 148
Naïs Prade 29 0.6× 37 1.0× 62 2.1× 31 1.2× 35 1.6× 8 138
Sven Turkalj 31 0.7× 40 1.1× 39 1.3× 31 1.2× 47 2.1× 9 114

Countries citing papers authored by Dietrich Herrmann

Since Specialization
Citations

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

Fields of papers citing papers by Dietrich Herrmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dietrich Herrmann

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

All Works

9 of 9 papers shown
1.
Krohn, Steffen, Nikos Darzentas, Henrik Knecht, et al.. (2022). Identification of New Antibodies Targeting Malignant Plasma Cells for Immunotherapy by Next-Generation Sequencing-Assisted Phage Display. Frontiers in Immunology. 13. 908093–908093. 5 indexed citations
2.
Kotrová, Michaela, Henrik Knecht, Dietrich Herrmann, et al.. (2018). The IG/TR Next Generation Marker Screening Developed within Euroclonality-NGS Consortium Is Successful in 94% of Acute Lymphoblastic Leukemia Samples. Blood. 132(Supplement 1). 2830–2830. 2 indexed citations
3.
Bystrý, Vojtěch, Tomáš Reigl, Adam Krejčí, et al.. (2017). ARResT/Interrogate IG/TR NGSデータに対するインタラクティブ免疫プロファイラ. Bioinformatics. 33(3). 437. 1 indexed citations
4.
Pott, Christiane, Henrik Knecht, Elisa Genuardi, et al.. (2017). Standardized IGH-Based Next-Generation Sequencing for MRD Detection in Follicular Lymphoma. Blood. 130. 1491–1491. 7 indexed citations
5.
Bystrý, Vojtěch, Tomáš Reigl, Adam Krejčí, et al.. (2016). ARResT/Interrogate: an interactive immunoprofiler for IG/TR NGS data. Bioinformatics. 33(3). 435–437. 71 indexed citations
6.
Herrmann, Dietrich, Henrik Knecht, Sven Küenzel, et al.. (2015). High-Throughput, Amplicon-Based Sequencing of the CREBBP Gene as a Tool to Develop a Universal Platform-Independent Assay. PLoS ONE. 10(6). e0129195–e0129195. 5 indexed citations
7.
Herrmann, Dietrich, et al.. (2006). differential diagnosis in ultrasound a teaching atlas. Thieme eBooks. 1. 2 indexed citations
8.
Herrmann, Dietrich & Anselm Doering-Manteuffel. (2001). Wie westlich sind die Deutschen? Amerikanisierung und Westernisierung im 20. Jahrhundert. The American Historical Review. 106(4). 1489–1489. 12 indexed citations
9.
Friedman, Max Paul & Dietrich Herrmann. (1999). "Be an American!" Amerikanisierungsbewegung und Theorien zur Einwander- erintegration.. International Migration Review. 33(3). 771–771. 1 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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