Maik Friedrich

30 papers receiving 531 citations

Hit Papers

Therapeutic siRNA: State-of-the-Art and Future Perspectives 2022 · 256 citations
2560+1+2Years since publication50100150200250

Peers

Maik Friedrich
Comparison fields: 5 of 84
  • Physiology 54
  • Cancer Research 138
  • Molecular Biology 350
  • Oncology 112
  • Immunology 82
Replace Shajedul Islam with:
Shajedul Islam Japan
Qian Feng China
Ling Qiu China
Arati Limaye United States
Richard D. Wilkinson United Kingdom
Kenneth P. Holbourn United Kingdom
Yingming Jiang China
Olga Moreno-Gonzalo Spain
Yeong C. Kim United States
Jeroen Bakker Netherlands
Maik Friedrich relative to Shajedul Islam Japan Shajedul Islam's profile →
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Citations per year

Countries citing papers authored by Maik Friedrich

Since Specialization
Citations

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

Fields of papers citing papers by Maik Friedrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maik Friedrich, 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 Maik Friedrich Line = papers co-authored together Maik Friedrich links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Therapeutic siRNA: State-of-the-Art and Future Perspectives
Hit paper breakdown →
2022256
2 201076
3 200230
4 202223
5 201318
6 200217
7 202014
8 200614
9 200812
10 20199
11 20067
12 20057
13 20227
14 20046
15 20126
16 20234
17 20184
18 20104
19 20194
20 20214

About Maik Friedrich

Maik Friedrich is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Epidemiology, having authored 32 papers that have together received 540 indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (7 papers), Calcium signaling and nucleotide metabolism (4 papers), Toxin Mechanisms and Immunotoxins (4 papers), Infective Endocarditis Diagnosis and Management (4 papers), RNA regulation and disease (3 papers), RNA Interference and Gene Delivery (3 papers), Cancer-related molecular mechanisms research (3 papers) and Streptococcal Infections and Treatments (3 papers). The work is most often cited by research in Physiology (54 citations), Cancer Research (138 citations), Molecular Biology (350 citations), Oncology (112 citations) and Immunology (82 citations). Maik Friedrich has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Achim Aigner, Kurt Engeland, Sunna Hauschildt, Andreas Grahnert, Friedrich Haag, Friedrich Koch‐Nolte, Tilo Buschmann, Nadine Schlichting, Keiichiro Hashimoto and Yvonne Kullnick. Their work appears in journals such as RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Biochemical Journal, The Thoracic and Cardiovascular Surgeon, Asian Journal of Andrology and Cellular and Molecular Neurobiology.

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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