M. Ruszkowski

962 citations
51 papers · 705 · h-index 17

Impact in

  • Biochemistry top 10%
    • Amino Acid Enzymes and Metabolism
    • RNA modifications and cancer
    • Biochemical and Molecular Research
    • RNA and protein synthesis mechanisms
    • Polyamine Metabolism and Applications
    • Cancer-related gene regulation

Papers in

    • Biochemical and Molecular Research 9
    • Polyamine Metabolism and Applications 8
    • Photosynthetic Processes and Mechanisms 4
    • Enzyme Structure and Function 21

M. Ruszkowski

48 papers receiving 698 citations

Peers

M. Ruszkowski
Comparison fields: 5 of 81
  • Biochemistry 68
  • Molecular Biology 488
  • Plant Science 233
  • Cancer Research 49
  • Genetics 24
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Fang Tang China
Susumu Morigasaki Japan
S. Funayama Brazil
Robert K. Harmel Germany
Wenqing Li China
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Citations per field
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Citations per year

Countries citing papers authored by M. Ruszkowski

Since Specialization
Citations

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

Fields of papers citing papers by M. Ruszkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Ruszkowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Ruszkowski Line = papers co-authored together M. Ruszkowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201894
2 201865
3 201543
4 202037
5 202032
6 201428
7 201528
8 202223
9 201623
10 201823
11 201521
12 201821
13 201317
14 201316
15 201916
16 201616
17 201916
18 202015
19 201615
20 201715

About M. Ruszkowski

M. Ruszkowski is a scholar working on Molecular Biology, Materials Chemistry, Plant Science, Biochemistry and Public Health, Environmental and Occupational Health, having authored 51 papers that have together received 705 indexed citations. Recurring topics across this work include Enzyme Structure and Function (21 papers), Biochemical and Molecular Research (9 papers), Polyamine Metabolism and Applications (8 papers), Amino Acid Enzymes and Metabolism (8 papers), Plant nutrient uptake and metabolism (6 papers), GABA and Rice Research (6 papers), Acute Lymphoblastic Leukemia research (4 papers) and Photosynthetic Processes and Mechanisms (4 papers). The work is most often cited by research in Biochemistry (68 citations), Molecular Biology (488 citations), Plant Science (233 citations), Cancer Research (49 citations) and Genetics (24 citations). M. Ruszkowski has collaborated with scholars based in Poland, United States and Italy. Frequent co-authors include Zbigniew Dauter, Agnieszka Ruszkowska, B. Sekula, Mariusz Jaskólski, Joanna Śliwiak, Jessica A. Brown, B. Nocek, Giuseppe Forlani, M. Sikorski and Michele Bertazzini. Their work appears in journals such as Frontiers in Plant Science, International Journal of Biological Macromolecules, Scientific Reports, Plant Physiology and Biochemistry and Biochemical Journal.

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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