Rhys Heffernan

2.1k citations
15 papers · 1.5k indexed · h-index 14
Topics
Protein Structure and Dynamics (12 papers)Machine Learning in Bioinformatics (11 papers)Enzyme Structure and Function (7 papers)
Partner nations
AustraliaFijiChina

In The Last Decade

Rhys Heffernan

15 papers receiving 1.5k citations

Peers

Rhys Heffernan
Comparison fields: 5 of 107
  • Molecular Biology 1.4k
  • Materials Chemistry 286
  • Computational Theory and Mathematics 273
  • Artificial Intelligence 43
  • Spectroscopy 30
Replace James Lyons with:
James Lyons Australia
Julia Koehler Leman United States
Mohammed AlQuraishi United States
Badri Adhikari United States
Michael Heinzinger Germany
Joshua Meier United States
Christian Dallago Germany
Raphaël A. G. Chaleil United Kingdom
Kelly P. Brock United States
Ehsaneddin Asgari United States
Rhys Heffernan relative to James Lyons Australia James Lyons's profile →
Citations per field
00.5×1.5×
James Lyons · 1×
Citations per year

Countries citing papers authored by Rhys Heffernan

Since Specialization
Citations

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

Fields of papers citing papers by Rhys Heffernan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rhys Heffernan

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 52
2 13
3 81
4 254
5 132
6 28
7 171
8 270
9 15
10 34
11 76
12 30
13 118
14 222
15 2

About Rhys Heffernan

Rhys Heffernan is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Machine Learning in Bioinformatics (11 papers) and Enzyme Structure and Function (7 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Computational Theory and Mathematics (273 citations) and Materials Chemistry (286 citations). Rhys Heffernan has collaborated with scholars based in Australia, Fiji and China. Frequent co-authors include Kuldip K. Paliwal, Yuedong Yang, Yaoqi Zhou, James Lyons, Abdollah Dehzangi, Alok Sharma, Abdul Sattar, Jihua Wang, Jack Hanson and Jianzhao Gao. Their work appears in journals such as Bioinformatics, Scientific Reports and Journal of Computational Chemistry.

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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