Daniela Kroiss

531 total citations · 1 hit paper
8 papers, 399 citations indexed

About

Daniela Kroiss is a scholar working on Molecular Biology, Biomaterials and Organic Chemistry. According to data from OpenAlex, Daniela Kroiss has authored 8 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Biomaterials and 4 papers in Organic Chemistry. Recurrent topics in Daniela Kroiss's work include Supramolecular Self-Assembly in Materials (5 papers), Chemical Synthesis and Analysis (4 papers) and Polydiacetylene-based materials and applications (2 papers). Daniela Kroiss is often cited by papers focused on Supramolecular Self-Assembly in Materials (5 papers), Chemical Synthesis and Analysis (4 papers) and Polydiacetylene-based materials and applications (2 papers). Daniela Kroiss collaborates with scholars based in United States, United Kingdom and Austria. Daniela Kroiss's co-authors include Rein V. Ulijn, Ankit Jain, Deborah Sementa, Mohit Kumar, Tell Tuttle, Gonen Ashkenasy, Adam B. Braunschweig, Ayala Lampel, Scott A. McPhee and James M. Aramini and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Daniela Kroiss

8 papers receiving 399 citations

Hit Papers

Peptide-Based Supramolecular Systems Chemistry 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Kroiss United States 7 251 217 139 69 42 8 399
Neil Anthony United States 6 273 1.1× 263 1.2× 117 0.8× 74 1.1× 27 0.6× 11 450
Ming-Chien Hsieh United States 9 335 1.3× 359 1.7× 120 0.9× 89 1.3× 42 1.0× 11 524
Subhajit Bal India 9 268 1.1× 165 0.8× 184 1.3× 93 1.3× 34 0.8× 14 402
Ayan Chatterjee India 11 309 1.2× 258 1.2× 133 1.0× 105 1.5× 46 1.1× 15 452
Wojciech P. Lipiński Netherlands 9 194 0.8× 456 2.1× 86 0.6× 116 1.7× 83 2.0× 13 732
Agata Chotera‐Ouda Israel 6 209 0.8× 207 1.0× 83 0.6× 108 1.6× 47 1.1× 9 416
Evelina Parisi Italy 9 382 1.5× 270 1.2× 201 1.4× 99 1.4× 43 1.0× 9 452
Jay D. Steinkruger United States 14 84 0.3× 303 1.4× 116 0.8× 163 2.4× 24 0.6× 18 471
Guy Jacoby Israel 9 227 0.9× 168 0.8× 120 0.9× 66 1.0× 27 0.6× 11 327
Jim Ottelé Netherlands 9 107 0.4× 168 0.8× 86 0.6× 48 0.7× 31 0.7× 13 312

Countries citing papers authored by Daniela Kroiss

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Kroiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Kroiss

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

All Works

8 of 8 papers shown
1.
Jain, Ankit, Scott A. McPhee, Tong Wang, et al.. (2022). Tractable molecular adaptation patterns in a designed complex peptide system. Chem. 8(7). 1894–1905. 12 indexed citations
2.
Sementa, Deborah, et al.. (2021). Peptide-Based Supramolecular Systems Chemistry. Chemical Reviews. 121(22). 13869–13914. 269 indexed citations breakdown →
3.
Brito, Alexandra, Ayala Lampel, Vânia I. B. Castro, et al.. (2021). Expanding the Conformational Landscape of Minimalistic Tripeptides by Their O-Glycosylation. Journal of the American Chemical Society. 143(47). 19703–19710. 22 indexed citations
4.
Kroiss, Daniela, et al.. (2020). Combinatorial Discovery and Validation of Heptapeptides with UTP Binding Induced Structure. ChemSystemsChem. 3(1). 1 indexed citations
5.
Pappas, Charalampos G., Jugal Kishore Sahoo, Ankit Jain, et al.. (2020). Spontaneous Aminolytic Cyclization and Self‐Assembly of Dipeptide Methyl Esters in Water. ChemSystemsChem. 2(5). 14 indexed citations
6.
Kroiss, Daniela, Gonen Ashkenasy, Adam B. Braunschweig, Tell Tuttle, & Rein V. Ulijn. (2019). Catalyst: Can Systems Chemistry Unravel the Mysteries of the Chemical Origins of Life?. Chem. 5(8). 1917–1920. 52 indexed citations
7.
Kroiss, Daniela, James M. Aramini, Scott A. McPhee, Tell Tuttle, & Rein V. Ulijn. (2019). Unbiased Discovery of Dynamic Peptide‐ATP Complexes. ChemSystemsChem. 1(1-2). 7–11. 13 indexed citations
8.
Grünwald‐Gruber, Clemens, Marzia Bellei, Katharina F. Pirker, et al.. (2013). A Stable Bacterial Peroxidase with Novel Halogenating Activity and an Autocatalytically Linked Heme Prosthetic Group. Journal of Biological Chemistry. 288(38). 27181–27199. 16 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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