Sina Ghadermarzi

628 citations
10 papers · 323 indexed · h-index 8
Topics
Protein Structure and Dynamics (9 papers)Machine Learning in Bioinformatics (5 papers)RNA and protein synthesis mechanisms (4 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Sina Ghadermarzi

10 papers receiving 321 citations

Peers

Sina Ghadermarzi
Comparison fields: 5 of 55
  • Molecular Biology 292
  • Materials Chemistry 80
  • Computational Theory and Mathematics 24
  • Cell Biology 22
  • Spectroscopy 19
Replace Akila Katuwawala with:
Akila Katuwawala United States
Rony Armon Israel
Maria T. Buenavista United Kingdom
Aleix Lafita United Kingdom
Philippe Lieutaud France
Francesca Troilo Italy
James Ahad United States
Marta Strumillo United Kingdom
Philip D. Townsend United Kingdom
Mary O.G. Richardson United States
Sina Ghadermarzi relative to Akila Katuwawala United States Akila Katuwawala's profile →
Citations per field
00.5×1.5×
Akila Katuwawala · 1×
Citations per year

Countries citing papers authored by Sina Ghadermarzi

Since Specialization
Citations

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

Fields of papers citing papers by Sina Ghadermarzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sina Ghadermarzi

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 21
2 19
3 180
4 4
5 7
6 20
7 23
8 31
9 16
10 2

About Sina Ghadermarzi

Sina Ghadermarzi is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry, having authored 10 papers that have together received 323 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Machine Learning in Bioinformatics (5 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Molecular Biology (292 citations), Materials Chemistry (80 citations) and Computational Theory and Mathematics (24 citations). Sina Ghadermarzi has collaborated with scholars based in United States, China and France. Frequent co-authors include Lukasz Kurgan, Akila Katuwawala, Kui Wang, Zhonghua Wu, Gang Hu, Jianzhao Gao, Jian Zhang, Bi Zhao, Jian Zhang and Min Li. Their work appears in journals such as Nature Communications, Bioinformatics and Nature Protocols.

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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