Marcin Hoffmann

1.7k total citations
113 papers, 1.3k citations indexed

About

Marcin Hoffmann is a scholar working on Organic Chemistry, Molecular Biology and Physical and Theoretical Chemistry. According to data from OpenAlex, Marcin Hoffmann has authored 113 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Organic Chemistry, 38 papers in Molecular Biology and 25 papers in Physical and Theoretical Chemistry. Recurrent topics in Marcin Hoffmann's work include Crystallography and molecular interactions (14 papers), Fluorine in Organic Chemistry (12 papers) and Computational Drug Discovery Methods (12 papers). Marcin Hoffmann is often cited by papers focused on Crystallography and molecular interactions (14 papers), Fluorine in Organic Chemistry (12 papers) and Computational Drug Discovery Methods (12 papers). Marcin Hoffmann collaborates with scholars based in Poland, United Kingdom and France. Marcin Hoffmann's co-authors include Jacek Rychlewski, Urszula Rychłewska, Maciej Kubicki, G. Kämpf, Henryk Koroniak, Bogdan Marciniec, Beata Warżajtis, Leszek Rychlewski, Wojciech Jankowski and Lucjan Wyrwicz and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Chemical Communications.

In The Last Decade

Marcin Hoffmann

105 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcin Hoffmann Poland 19 543 396 251 178 177 113 1.3k
Jan K. Maurin Poland 21 951 1.8× 414 1.0× 288 1.1× 156 0.9× 270 1.5× 158 1.8k
Blair F. Johnston United Kingdom 23 319 0.6× 384 1.0× 394 1.6× 215 1.2× 108 0.6× 61 1.5k
Sanjay Sarkhel India 15 413 0.8× 465 1.2× 194 0.8× 447 2.5× 309 1.7× 29 1.4k
Marcelo Zaldini Hernandes Brazil 26 1.2k 2.2× 696 1.8× 176 0.7× 175 1.0× 209 1.2× 71 2.3k
Li Rao China 25 578 1.1× 377 1.0× 680 2.7× 88 0.5× 152 0.9× 75 2.0k
Ricardo Bicca de Alencastro Brazil 21 473 0.9× 555 1.4× 211 0.8× 119 0.7× 74 0.4× 115 1.6k
Jean‐Marc Plancher Switzerland 19 871 1.6× 456 1.2× 159 0.6× 371 2.1× 257 1.5× 27 1.5k
A.E. Kozioł Poland 23 1.1k 2.1× 416 1.1× 348 1.4× 214 1.2× 339 1.9× 181 2.0k
Andreea R. Schmitzer Canada 26 928 1.7× 605 1.5× 322 1.3× 152 0.9× 148 0.8× 88 1.7k
David Rinaldo United States 9 663 1.2× 556 1.4× 483 1.9× 125 0.7× 286 1.6× 13 1.9k

Countries citing papers authored by Marcin Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Marcin Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcin Hoffmann

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

All Works

20 of 20 papers shown
1.
Jankowski, Wojciech, et al.. (2024). Direct infusion mass spectrometric analysis of ephedrine and pseudoephedrine. International Journal of Mass Spectrometry. 501. 117258–117258.
2.
Huczyński, Adam, et al.. (2024). Machine Learning Application for Medicinal Chemistry: Colchicine Case, New Structures, and Anticancer Activity Prediction. Pharmaceuticals. 17(2). 173–173. 4 indexed citations
3.
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5.
Bachorz, Rafał A., et al.. (2023). Neural Networks in the Design of Molecules with Affinity to Selected Protein Domains. International Journal of Molecular Sciences. 24(2). 1762–1762. 5 indexed citations
6.
Bachorz, Rafał A., et al.. (2023). Artificial Intelligence in Decrypting Cytoprotective Activity under Oxidative Stress from Molecular Structure. International Journal of Molecular Sciences. 24(14). 11349–11349. 2 indexed citations
7.
Hoffmann, Marcin, et al.. (2022). Mechanochemical Synthesis of Fluorinated Imines. Molecules. 27(14). 4557–4557. 5 indexed citations
8.
9.
Kuciński, Krzysztof, et al.. (2021). Catalytic and non-catalytic hydroboration of carbonyls: quantum-chemical studies. Organic & Biomolecular Chemistry. 19(13). 3004–3015. 8 indexed citations
10.
Glišić, Biljana Đ., Beata Warżajtis, Marcin Hoffmann, Urszula Rychłewska, & Miloš I. Djuran. (2020). Mononuclear gold(iii) complexes with diazanaphthalenes: the influence of the position of nitrogen atoms in the aromatic rings on the complex crystalline properties. RSC Advances. 10(72). 44481–44493. 6 indexed citations
11.
Zaranek, Maciej, et al.. (2019). DFT study of trialkylborohydride-catalysed hydrosilylation of alkenes – the mechanism and its implications. Catalysis Science & Technology. 10(4). 1066–1072. 14 indexed citations
12.
Jankowski, Wojciech, et al.. (2019). Experimental and computational studies of noncovalent interactions in the metal-free ternary Lys–tn–ATP system. New Journal of Chemistry. 43(43). 16898–16906. 3 indexed citations
13.
Wiosna-Sałyga, Gabriela, Ireneusz Głowacki, Ireneusz Kownacki, et al.. (2019). Effect of β-Ketoiminato Ancillary Ligand Modification on Emissive Properties of New Iridium Complexes. Inorganic Chemistry. 58(22). 15671–15686. 11 indexed citations
14.
Głuszyńska, Agata, et al.. (2018). Carbazole Derivatives’ Binding to c-KIT G-Quadruplex DNA. Molecules. 23(5). 1134–1134. 23 indexed citations
15.
Wiosna-Sałyga, Gabriela, Ireneusz Głowacki, Ireneusz Kownacki, et al.. (2018). Effect of fluorine substitution of the β-ketoiminate ancillary ligand on photophysical properties and electroluminescence ability of new iridium(iii) complexes. Journal of Materials Chemistry C. 6(32). 8688–8708. 8 indexed citations
16.
Pędziński, Tomasz, et al.. (2017). Experimental and theoretical studies on fluvastatin primary photoproduct formation. Physical Chemistry Chemical Physics. 19(33). 21946–21954. 4 indexed citations
17.
Korycka‐Machała, Małgorzata, et al.. (2017). Naphthalimides Selectively Inhibit the Activity of Bacterial, Replicative DNA Ligases and Display Bactericidal Effects against Tubercle Bacilli. Molecules. 22(1). 154–154. 12 indexed citations
18.
Kownacki, Ireneusz, Marcin Hoffmann, Maciej Kubicki, et al.. (2017). Microwave-assisted one-pot synthesis of new ionic iridium complexes of [Ir(bzq)2(N^N)]+A− type and their selected electroluminescent properties. Dalton Transactions. 46(28). 9210–9226. 17 indexed citations
19.
Jankowski, Wojciech & Marcin Hoffmann. (2016). Can Google Searches Predict the Popularity and Harm of Psychoactive Agents?. Journal of Medical Internet Research. 18(2). e38–e38. 9 indexed citations
20.
Hoffmann, Marcin & Jacek Rychlewski. (1999). SEARCHING FOR PALINDROMIC SEQUENCES IN PRIMARY STRUCTURE OF PROTEINS. Computational Methods in Science and Technology. 5(1). 21–24. 5 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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