Joanna Grzelczyk

59 total papers · 530 total citations
32 papers, 378 citations indexed

About

Joanna Grzelczyk is a scholar working on Pharmacology, Pathology and Forensic Medicine and Complementary and alternative medicine. According to data from OpenAlex, Joanna Grzelczyk has authored 32 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pharmacology, 9 papers in Pathology and Forensic Medicine and 7 papers in Complementary and alternative medicine. Recurrent topics in Joanna Grzelczyk's work include Coffee research and impacts (7 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Computational Drug Discovery Methods (5 papers). Joanna Grzelczyk is often cited by papers focused on Coffee research and impacts (7 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Computational Drug Discovery Methods (5 papers). Joanna Grzelczyk collaborates with scholars based in Poland, Spain and Egypt. Joanna Grzelczyk's co-authors include Grażyna Budryn, Horacio Pérez‐Sánchez, Dorota Żyżelewicz, Dominik Szwajgier, Małgorzata Zakłos‐Szyda, Joanna Oracz, José P. Cerón‐Carrasco, Elżbieta Klewicka, Ashok Kakkar and Ewa Baranowska‐Wójcik and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Joanna Grzelczyk

29 papers receiving 372 citations

Author Peers

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

Author Last Decade Papers Cites
Joanna Grzelczyk 100 96 94 75 75 32 378
Kwang Jin Lee 61 0.6× 84 0.9× 140 1.5× 99 1.3× 48 0.6× 19 413
Ju‐Hye Lee 53 0.5× 63 0.7× 161 1.7× 85 1.1× 43 0.6× 20 387
Kyo Mochida 86 0.9× 70 0.7× 114 1.2× 83 1.1× 34 0.5× 23 433
Rajan Logesh 70 0.7× 45 0.5× 99 1.1× 76 1.0× 20 0.3× 23 343
Abdulahad Doğan 55 0.6× 76 0.8× 75 0.8× 129 1.7× 41 0.5× 37 427
Ayşe Güneş Bayır 34 0.3× 96 1.0× 153 1.6× 58 0.8× 33 0.4× 33 424
Jong-Moon Hur 110 1.1× 54 0.6× 130 1.4× 80 1.1× 17 0.2× 22 409
Sherouk Hussein Sweilam 71 0.7× 47 0.5× 153 1.6× 62 0.8× 25 0.3× 54 445
Tahir Maqbool Mir 38 0.4× 51 0.5× 117 1.2× 58 0.8× 22 0.3× 24 360
Damir Sirovina 50 0.5× 54 0.6× 114 1.2× 58 0.8× 36 0.5× 21 443

Countries citing papers authored by Joanna Grzelczyk

Since Specialization
Citations

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

Fields of papers citing papers by Joanna Grzelczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joanna Grzelczyk

This figure shows the co-authorship network connecting the top 25 collaborators of Joanna Grzelczyk. A scholar is included among the top collaborators of Joanna Grzelczyk 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 Joanna Grzelczyk. Joanna Grzelczyk 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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2026