Daniel Paprocki

30 total papers · 496 total citations
28 papers, 414 citations indexed

About

Daniel Paprocki is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Daniel Paprocki has authored 28 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 19 papers in Organic Chemistry and 5 papers in Pharmacology. Recurrent topics in Daniel Paprocki's work include Enzyme Catalysis and Immobilization (11 papers), Chemical Synthesis and Analysis (10 papers) and Multicomponent Synthesis of Heterocycles (10 papers). Daniel Paprocki is often cited by papers focused on Enzyme Catalysis and Immobilization (11 papers), Chemical Synthesis and Analysis (10 papers) and Multicomponent Synthesis of Heterocycles (10 papers). Daniel Paprocki collaborates with scholars based in Poland and Switzerland. Daniel Paprocki's co-authors include Ryszard Ostaszewski, Dominik Koszelewski, Anna Brodzka, Anna Żądło‐Dobrowolska, Peter Walde, Paweł Borowiecki, Jan Plenkiewicz, Maciej Dranka, Mateusz Szymczak and Szymon Kłossowski and has published in prestigious journals such as Scientific Reports, ACS Catalysis and The Journal of Organic Chemistry.

In The Last Decade

Daniel Paprocki

28 papers receiving 409 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Paprocki 289 221 46 41 32 28 414
Andrew R. Vaino 283 1.0× 244 1.1× 68 1.5× 45 1.1× 27 0.8× 21 479
John A. Zderic 223 0.8× 257 1.2× 36 0.8× 71 1.7× 56 1.8× 31 491
Anna Brodzka 263 0.9× 191 0.9× 37 0.8× 35 0.9× 24 0.8× 38 386
JA Mills 140 0.5× 178 0.8× 50 1.1× 65 1.6× 22 0.7× 20 460
Timothy P. Smyth 208 0.7× 158 0.7× 22 0.5× 50 1.2× 25 0.8× 28 446
I. Segal 295 1.0× 115 0.5× 44 1.0× 22 0.5× 30 0.9× 36 431
Fu‐Yuan Tsai 193 0.7× 151 0.7× 37 0.8× 20 0.5× 19 0.6× 26 437
Masanori Yamaura 247 0.9× 139 0.6× 13 0.3× 30 0.7× 47 1.5× 27 382
Shubhasish Mukherjee 321 1.1× 180 0.8× 47 1.0× 26 0.6× 47 1.5× 20 485
Usha D. Phalgune 188 0.7× 92 0.4× 21 0.5× 33 0.8× 24 0.8× 28 368

Countries citing papers authored by Daniel Paprocki

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Paprocki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Paprocki

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026