Mahmut Mijit

1.0k citations
10 papers · 676 · 1 hit paper · h-index 8

Impact in

  • Aging top 10%
  • Biophysics top 5%
    • Electromagnetic Fields and Biological Effects

Papers in

    • DNA Repair Mechanisms 3
    • Advanced biosensing and bioanalysis techniques 1
    • Biofield Effects and Biophysics 1
    • Biochemical effects in animals 1

Mahmut Mijit

10 papers receiving 665 citations

Mahmut Mijit's Hit Papers

Role of p53 in the Regulation of Cellular Senescence 2020 · 408 citations
4080+2+4Years since publication100200300400

Peers

Mahmut Mijit
Comparison fields: 5 of 94
  • Aging 26
  • Biophysics 58
  • Physiology 172
  • Insect Science 77
  • Biological Psychiatry 14
Replace Myungjin Kim with:
Myungjin Kim United States
Gönül Kanıgür Sultuybek Türkiye
Ioannis Smyrnias United Kingdom
Haihui Pan United States
Ágnes Donkó Hungary
Amado Carreras‐Sureda Switzerland
Hue‐Tran Hornig‐Do Germany
Juan Alejandro Oliva Trejo Japan
Mahmut Mijit relative to Myungjin Kim United States Myungjin Kim's profile →
Citations per field
00.5×6.4×
Myungjin Kim · 1×
Citations per year

Countries citing papers authored by Mahmut Mijit

Since Specialization
Citations

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

Fields of papers citing papers by Mahmut Mijit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Role of p53 in the Regulation of Cellular Senescence
Hit paper breakdown →
2020408
2 201897
3 201286
4 202127
5 201916
6 202315
7 20238
8 20228
9 20236
10 20235

About Mahmut Mijit

Mahmut Mijit is a scholar working on Molecular Biology, Physiology, Oncology, Epidemiology and Physiology, having authored 10 papers that have together received 676 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), Advanced biosensing and bioanalysis techniques (1 paper), MicroRNA in disease regulation (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Nanoplatforms for cancer theranostics (1 paper), Biofield Effects and Biophysics (1 paper), Biochemical effects in animals (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Aging (26 citations), Biophysics (58 citations), Physiology (172 citations), Insect Science (77 citations) and Biological Psychiatry (14 citations). Mahmut Mijit has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Fernanda Amicarelli, Antonio Giordano, Valentina Caracciolo, Sehroon Khan, Valeria Cordone, Silvano Junior Santini, Stefano Falone, Giovanna Di Emidio, Carla Tatone and Mark R. Kelley. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Frontiers in Oncology, Biomolecules, Antioxidants and Frontiers in Medicine.

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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