Adam J. Riesselman

1.9k citations
12 papers · 1.0k indexed · 1 hit paper · h-index 10
Topics
RNA and protein synthesis mechanisms (5 papers)Genomics and Phylogenetic Studies (5 papers)Evolution and Genetic Dynamics (2 papers)

In The Last Decade

Adam J. Riesselman

11 papers receiving 1.0k citations

Hit Papers

Protein design and variant prediction using autoregressiv...2021202620222024202150100150

Peers

Adam J. Riesselman
Comparison fields: 5 of 93
  • Molecular Biology 919
  • Genetics 208
  • Materials Chemistry 87
  • Radiology, Nuclear Medicine and Imaging 81
  • Plant Science 76
Replace Ágnes Tóth-Petróczy with:
Ágnes Tóth-Petróczy Germany
Benoît H. Dessailly United Kingdom
Richard A. George United Kingdom
László Kaján Hungary
Philippe Vaglio United States
C.C. Huang United States
Ian M. Overton United Kingdom
Sadhna Phanse Canada
Kelly P. Brock United States
Thorsten Schmidt Germany
Adam J. Riesselman relative to Ágnes Tóth-Petróczy Germany Ágnes Tóth-Petróczy's profile →
Citations per field
00.5×1.5×1.9×
Ágnes Tóth-Petróczy · 1×
Citations per year

Countries citing papers authored by Adam J. Riesselman

Since Specialization
Citations

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

Fields of papers citing papers by Adam J. Riesselman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam J. Riesselman. 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 Adam J. Riesselman. The network helps show where Adam J. Riesselman may publish in the future.

Co-authorship network of co-authors of Adam J. Riesselman

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 13
3
Protein design and variant prediction using autoregressive generative modelsbreakdown →
195
4 1
5 23
6 25
7 172
8
Learning Protein Structure with a Differentiable Simulator
44
9 334
10 54
11 110
12 74

About Adam J. Riesselman

Adam J. Riesselman is a scholar working on Molecular Biology, Biochemistry and Genetics, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Genomics and Phylogenetic Studies (5 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Molecular Biology (919 citations), Genetics (208 citations) and Biochemistry (34 citations). Adam J. Riesselman has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Debora S. Marks, John Ingraham, Chris Sander, Sona Pandey, Swarup Roy Choudhury, Jung-Eun Shin, Andrew C. Kruse, Elana P. Simon, Aaron W. Kollasch and Aashish Manglik. Their work appears in journals such as Cell, Nucleic Acids Research and Nature Communications.

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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