Gustaf Ahdritz

863 citations
2 papers · 235 indexed · 1 hit paper · h-index 2
Topics
RNA and protein synthesis mechanisms (1 paper)Machine Learning in Bioinformatics (1 paper)Protein Structure and Dynamics (1 paper)
Journals
Nature BiotechnologyZenodo (CERN European Organization for Nuclear Research)
Partner nations
United StatesCanada

In The Last Decade

Gustaf Ahdritz

2 papers receiving 230 citations

Hit Papers

Single-sequence protein structure prediction using a lang...2022202620232024202250100150200

Peers

Gustaf Ahdritz
Comparison fields: 5 of 60
  • Molecular Biology 198
  • Materials Chemistry 42
  • Computational Theory and Mathematics 29
  • Radiology, Nuclear Medicine and Imaging 15
  • Genetics 11
Replace Charlotte Rochereau with:
Charlotte Rochereau United States
Simona Povilonienė Lithuania
Nazim Bouatta United States
Mikhail Ignatov United States
Drew Bryant United States
Casper A. Goverde Switzerland
Miguel Romero‐Durana Spain
Nathaniel R. Bennett United States
Liwei Chang United States
Tarun Narwani France
Gustaf Ahdritz relative to Charlotte Rochereau United States Charlotte Rochereau's profile →
Citations per field
00.5×1.5×
Charlotte Rochereau · 1×
Citations per year

Countries citing papers authored by Gustaf Ahdritz

Since Specialization
Citations

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

Fields of papers citing papers by Gustaf Ahdritz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gustaf Ahdritz

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

All Works

2 of 2 papers shown
#WorkIndexed citations
1
Single-sequence protein structure prediction using a language model and deep learningbreakdown →
234
2 1

About Gustaf Ahdritz

Gustaf Ahdritz is a scholar working on Molecular Biology, Infectious Diseases and Organic Chemistry, having authored 2 papers that have together received 235 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (1 paper), Machine Learning in Bioinformatics (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Molecular Biology (198 citations), Computational Theory and Mathematics (29 citations) and Microbiology (9 citations). Gustaf Ahdritz has collaborated with scholars based in United States and Canada. Frequent co-authors include Surojit Biswas, Charlotte Rochereau, George M. Church, Koushik Roy, Peter K. Sorger, Ratul Chowdhury, Joanna Zhang, Nazim Bouatta, Mohammed AlQuraishi and Anant Kharkar. Their work appears in journals such as Nature Biotechnology and Zenodo (CERN European Organization for Nuclear Research).

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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