Mert Gür

1.4k citations
36 papers · 955 indexed · h-index 15

Impact in

    • Protein Structure and Dynamics
    • Cancer-related gene regulation
    • Epigenetics and DNA Methylation
    • RNA and protein synthesis mechanisms

Papers in

Mert Gür

35 papers receiving 951 citations

Peers

Mert Gür
Comparison fields: 5 of 84
  • Structural Biology 26
  • Molecular Biology 731
  • Infectious Diseases 161
  • Cell Biology 116
  • Computational Theory and Mathematics 107
Replace Rebecca F. Alford with:
Rebecca F. Alford United States
Iwan Zimmermann Switzerland
Alejandra Leo‐Macías United States
Avi J. Samelson United States
Ronen Gabizon Israel
Laura Orellana Sweden
Alessandro Piai United States
Christian X. Weichenberger Italy
Takuhiro Ito Japan
Gregory M. Lee United States
Mert Gür relative to Rebecca F. Alford United States Rebecca F. Alford's profile →
Citations per field
00.5×6.8×
Rebecca F. Alford · 1×
Citations per year

Countries citing papers authored by Mert Gür

Since Specialization
Citations

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

Fields of papers citing papers by Mert Gür

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20244
3 20242
4 20245
5 20242
6 20236
7 20229
8 202254
9 202226
10 20196
11 20191
12 201943
13 201933
14 2015117
15 201499
16 201440
17 201362
18 20122
19 201175
20 20107

About Mert Gür

Mert Gür is a scholar working on Structural Biology, Biophysics, Cell Biology, Molecular Biology and Condensed Matter Physics, having authored 36 papers that have together received 955 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (20 papers), Microtubule and mitosis dynamics (7 papers), Enzyme Structure and Function (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Computational Drug Discovery Methods (5 papers), Lipid Membrane Structure and Behavior (4 papers) and Micro and Nano Robotics (4 papers). The work is most often cited by research in Structural Biology (26 citations), Molecular Biology (731 citations), Infectious Diseases (161 citations), Cell Biology (116 citations) and Computational Theory and Mathematics (107 citations). Mert Gür has collaborated with scholars based in Türkiye, United States and United Kingdom. Frequent co-authors include İvet Bahar, Elia Zomot, Mert Gölcük, Ahmet Yıldız, Mary Hongying Cheng, Jeffry D. Madura, Gözde Eskici, Lidio Meireles, Ahmet Bakan and Burak Erman. Their work appears in journals such as The Journal of Chemical Physics, Biophysical Journal, Science Advances, Physical Biology and The Journal of Physical Chemistry B.

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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