Nazim Bouatta

1.0k total citations · 1 hit paper
4 papers, 291 citations indexed

About

Nazim Bouatta is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Nazim Bouatta has authored 4 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Spectroscopy and 1 paper in Materials Chemistry. Recurrent topics in Nazim Bouatta's work include Machine Learning in Bioinformatics (3 papers), Protein Structure and Dynamics (3 papers) and RNA and protein synthesis mechanisms (2 papers). Nazim Bouatta is often cited by papers focused on Machine Learning in Bioinformatics (3 papers), Protein Structure and Dynamics (3 papers) and RNA and protein synthesis mechanisms (2 papers). Nazim Bouatta collaborates with scholars based in United States. Nazim Bouatta's co-authors include Mohammed AlQuraishi, Peter K. Sorger, Gustaf Ahdritz, Anant Kharkar, Koushik Roy, Joanna Zhang, George M. Church, Ratul Chowdhury, Surojit Biswas and Charlotte Rochereau and has published in prestigious journals such as Nature Biotechnology, Journal of Molecular Biology and Nature Structural & Molecular Biology.

In The Last Decade

Nazim Bouatta

4 papers receiving 286 citations

Hit Papers

Single-sequence protein structure prediction using a lang... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nazim Bouatta United States 4 242 53 36 19 13 4 291
Charlotte Rochereau United States 2 199 0.8× 44 0.8× 28 0.8× 15 0.8× 10 0.8× 3 237
Gustaf Ahdritz United States 2 198 0.8× 42 0.8× 29 0.8× 15 0.8× 10 0.8× 2 235
Anant Kharkar United States 3 197 0.8× 42 0.8× 29 0.8× 16 0.8× 10 0.8× 3 266
Jingzhou Hao United States 4 333 1.4× 60 1.1× 35 1.0× 41 2.2× 11 0.8× 4 391
Drew Bryant United States 9 267 1.1× 76 1.4× 69 1.9× 17 0.9× 8 0.6× 16 320
Khalid Kunji Qatar 8 304 1.3× 77 1.5× 63 1.8× 28 1.5× 15 1.2× 23 396
Nurul Nadzirin United Kingdom 8 195 0.8× 60 1.1× 71 2.0× 21 1.1× 8 0.6× 8 221
Casper A. Goverde Switzerland 5 212 0.9× 43 0.8× 19 0.5× 24 1.3× 10 0.8× 7 259
Simona Povilonienė Lithuania 4 190 0.8× 26 0.5× 25 0.7× 13 0.7× 4 0.3× 7 238
Matt McPartlon United States 2 149 0.6× 40 0.8× 28 0.8× 11 0.6× 10 0.8× 2 178

Countries citing papers authored by Nazim Bouatta

Since Specialization
Citations

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

Fields of papers citing papers by Nazim Bouatta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nazim Bouatta

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

All Works

4 of 4 papers shown
1.
Magnus, Marcin, et al.. (2024). RNA3DB: A structurally-dissimilar dataset split for training and benchmarking deep learning models for RNA structure prediction. Journal of Molecular Biology. 436(17). 168552–168552. 13 indexed citations
2.
Bouatta, Nazim & Mohammed AlQuraishi. (2023). Structural biology at the scale of proteomes. Nature Structural & Molecular Biology. 30(2). 129–130. 8 indexed citations
3.
Chowdhury, Ratul, Nazim Bouatta, Surojit Biswas, et al.. (2022). Single-sequence protein structure prediction using a language model and deep learning. Nature Biotechnology. 40(11). 1617–1623. 234 indexed citations breakdown →
4.
Bouatta, Nazim, Peter K. Sorger, & Mohammed AlQuraishi. (2021). Protein structure prediction by AlphaFold 2: are attention and symmetries all you need?. Acta Crystallographica Section D Structural Biology. 77(8). 982–991. 36 indexed citations

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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