Igor Mačinković

794 total citations
16 papers, 516 citations indexed

About

Igor Mačinković is a scholar working on Molecular Biology, Biochemistry and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Igor Mačinković has authored 16 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Biochemistry and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Igor Mačinković's work include Sulfur Compounds in Biology (5 papers), Redox biology and oxidative stress (3 papers) and Protein Degradation and Inhibitors (2 papers). Igor Mačinković is often cited by papers focused on Sulfur Compounds in Biology (5 papers), Redox biology and oxidative stress (3 papers) and Protein Degradation and Inhibitors (2 papers). Igor Mačinković collaborates with scholars based in Germany, United States and Switzerland. Igor Mačinković's co-authors include Miloš R. Filipović, Ming Xian, Chung‐Min Park, Nelmi O. Devarie‐Baez, Dehui� Zhang, Kate S. Carroll, Jia Pan, Jan Lj. Miljković, Martin Herrmann and Sarah Bertlein and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Igor Mačinković

15 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Igor Mačinković Germany	9	339	272	64	48	45	16	516
Amy L. Wiseman United States	7	293 0.9×	261 1.0×	66 1.0×	11 0.2×	41 0.9×	7	578
Joseph F. Rhoderick United States	10	179 0.5×	300 1.1×	29 0.5×	6 0.1×	67 1.5×	19	567
Isabella Pugliesi Italy	12	135 0.4×	208 0.8×	49 0.8×	21 0.4×	43 1.0×	16	461
Young‐Hwa Goo United States	14	128 0.4×	467 1.7×	54 0.8×	11 0.2×	64 1.4×	19	690
Marina Marani Italy	11	65 0.2×	439 1.6×	29 0.5×	104 2.2×	32 0.7×	12	656
Sebastian Longen Germany	12	115 0.3×	634 2.3×	47 0.7×	19 0.4×	17 0.4×	16	771
Heeyong Yoon United States	13	123 0.4×	643 2.4×	118 1.8×	18 0.4×	19 0.4×	21	940
Richard W. Gross United States	11	106 0.3×	485 1.8×	94 1.5×	9 0.2×	24 0.5×	12	642
Allison M. Manuel United States	13	44 0.1×	240 0.9×	61 1.0×	10 0.2×	43 1.0×	24	408
Donatella Tombaccini Italy	14	50 0.1×	266 1.0×	73 1.1×	16 0.3×	34 0.8×	30	483

Countries citing papers authored by Igor Mačinković

Since Specialization

Citations

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

Fields of papers citing papers by Igor Mačinković

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Mačinković

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

All Works

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16 of 16 papers shown

1.

Mačinković, Igor, Jens von der Grün, Stefan Küffer, et al.. (2024). Association between spatial distribution of leukocyte subsets and clinical presentation of head and neck squamous cell carcinoma. Laryngo-Rhino-Otologie. 103(S 02). S233–S233.

2.

Mačinković, Igor, Jens von der Grün, Stefan Küffer, et al.. (2024). Association between spatial distribution of leukocyte subsets and clinical presentation of head and neck squamous cell carcinoma. Frontiers in Immunology. 14. 1240394–1240394. 2 indexed citations

3.

Mačinković, Igor, Andreas Weigert, Matthias P. Fabritius, et al.. (2023). The Microtubule-Targeting Agent Pretubulysin Impairs the Inflammatory Response in Endothelial Cells by a JNK-Dependent Deregulation of the Histone Acetyltransferase Brd4. Cells. 12(16). 2112–2112. 3 indexed citations

4.

Abplanalp, Wesley, Bianca Schuhmacher, Sebastian Cremer, et al.. (2023). Cell-intrinsic effects of clonal hematopoiesis in heart failure. Nature Cardiovascular Research. 2(9). 819–834. 26 indexed citations

5.

Cremer, Sebastian, et al.. (2023). Hematopoietic loss of Y-chromosome in monocytes from heart failure patients associates with cardiac fibrosis signaling. European Heart Journal. 44(Supplement_2). 1 indexed citations

6.

Mačinković, Igor, Stephan Awe, Ignasi Forné, et al.. (2019). Distinct CoREST complexes act in a cell-type-specific manner. Nucleic Acids Research. 47(22). 11649–11666. 12 indexed citations

7.

Mačinković, Igor, Stephan Awe, Florian Finkernagel, et al.. (2018). Tumour-associated missense mutations in the dMi-2 ATPase alters nucleosome remodelling properties in a mutation-specific manner. Nature Communications. 9(1). 2112–2112. 28 indexed citations

8.

Mačinković, Igor, et al.. (2017). Drosophila CP190- and dCTCF-mediated enhancer blocking is augmented by SUMOylation. Epigenetics & Chromatin. 10(1). 32–32. 1 indexed citations

9.

Bouazoune, Karim, Igor Mačinković, Erik Engelen, et al.. (2017). EcR recruits dMi-2 and increases efficiency of dMi-2-mediated remodelling to constrain transcription of hormone-regulated genes. Nature Communications. 8(1). 14806–14806. 25 indexed citations

10.

Dorninger, Fabian, Ruth Herbst, Bojana Kravić, et al.. (2017). Reduced muscle strength in ether lipid‐deficient mice is accompanied by altered development and function of the neuromuscular junction. Journal of Neurochemistry. 143(5). 569–583. 32 indexed citations

11.

Park, Chung‐Min, Igor Mačinković, Miloš R. Filipović, & Ming Xian. (2015). Use of the “Tag-Switch” Method for the Detection of Protein S-Sulfhydration. Methods in enzymology on CD-ROM/Methods in enzymology. 555. 39–56. 38 indexed citations

12.

Wedmann, Rudolf, Sarah Bertlein, Igor Mačinković, et al.. (2014). Working with “H2S”: Facts and apparent artifacts. Nitric Oxide. 41. 85–96. 93 indexed citations

13.

Filipović, Miloš R., Igor Mačinković, Dehui� Zhang, et al.. (2014). S7-5 The mechanism(s) of protein persulfide formation: Detection of protein S-sulfhydration by a tag-switch assay. Nitric Oxide. 39. S9–S10. 1 indexed citations

14.

Mačinković, Igor, et al.. (2013). Employment of colorimetric enzyme assay for monitoring expression and solubility of GST fusion proteins targeted to inclusion bodies. Journal of Biotechnology. 168(4). 506–510. 3 indexed citations

15.

Zhang, Dehui�, Igor Mačinković, Nelmi O. Devarie‐Baez, et al.. (2013). Detection of Protein S‐Sulfhydration by a Tag‐Switch Technique. Angewandte Chemie International Edition. 53(2). 575–581. 237 indexed citations

16.

Zhang, Dehui�, Igor Mačinković, Nelmi O. Devarie‐Baez, et al.. (2013). Detektion von Persulfidbildung an Proteinen (S‐Sulfhydrierung) mithilfe einer Tag‐Switch‐Technik. Angewandte Chemie. 126(2). 586–592. 14 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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