Daniel Rosenkranz

24 total papers · 779 total citations
11 papers, 587 citations indexed

About

Daniel Rosenkranz is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Analytical Chemistry. According to data from OpenAlex, Daniel Rosenkranz has authored 11 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Materials Chemistry, 3 papers in Computational Theory and Mathematics and 3 papers in Analytical Chemistry. Recurrent topics in Daniel Rosenkranz's work include Nanoparticles: synthesis and applications (3 papers), Computational Drug Discovery Methods (3 papers) and Biosimilars and Bioanalytical Methods (2 papers). Daniel Rosenkranz is often cited by papers focused on Nanoparticles: synthesis and applications (3 papers), Computational Drug Discovery Methods (3 papers) and Biosimilars and Bioanalytical Methods (2 papers). Daniel Rosenkranz collaborates with scholars based in Germany, India and United States. Daniel Rosenkranz's co-authors include Andreas Luch, Peter Laux, Anurag Kanase, Rishabh Singh, Ajay Vikram Singh, Mohammad Hasan Dad Ansari, Fabian L. Kriegel, Romi Singh Maharjan, Jutta Tentschert and Shubham Singh and has published in prestigious journals such as Scientific Reports, ACS Applied Materials & Interfaces and Analytica Chimica Acta.

In The Last Decade

Daniel Rosenkranz

9 papers receiving 572 citations

Author Peers

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

Author						Papers	Cites
Daniel Rosenkranz	199	180	113	98	70	11	587
Anurag Kanase	206 1.0×	169 0.9×	132 1.2×	116 1.2×	83 1.2×	10	659
Romi Singh Maharjan	159 0.8×	132 0.7×	109 1.0×	84 0.9×	54 0.8×	10	587
Rishabh Singh	178 0.9×	149 0.8×	103 0.9×	92 0.9×	66 0.9×	24	571
Zeqing Bao	203 1.0×	194 1.1×	129 1.1×	138 1.4×	66 0.9×	22	578
Hanlu Gao	95 0.5×	89 0.5×	180 1.6×	92 0.9×	55 0.8×	22	503
R Parikh	92 0.5×	58 0.3×	165 1.5×	31 0.3×	61 0.9×	10	542
Mojtaba Falahati	197 1.0×	109 0.6×	236 2.1×	50 0.5×	125 1.8×	29	624
Katja Kettler	137 0.7×	237 1.3×	199 1.8×	63 0.6×	162 2.3×	21	665
Anna Huk	165 0.8×	442 2.5×	89 0.8×	22 0.2×	82 1.2×	10	643
Mohammad Mahdi Nejadi Babadaei	202 1.0×	124 0.7×	222 2.0×	47 0.5×	101 1.4×	22	627

Countries citing papers authored by Daniel Rosenkranz

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Rosenkranz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Rosenkranz

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

All Works

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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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