Heidi R. Fuller

76 total papers · 1.7k total citations
50 papers, 1.1k citations indexed

About

Heidi R. Fuller is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Heidi R. Fuller has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 19 papers in Genetics and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Heidi R. Fuller's work include Neurogenetic and Muscular Disorders Research (17 papers), RNA modifications and cancer (16 papers) and RNA Research and Splicing (9 papers). Heidi R. Fuller is often cited by papers focused on Neurogenetic and Muscular Disorders Research (17 papers), RNA modifications and cancer (16 papers) and RNA Research and Splicing (9 papers). Heidi R. Fuller collaborates with scholars based in United Kingdom, United States and Germany. Heidi R. Fuller's co-authors include Karina T. Wright, William E. Johnson, Sheila MacNeil, Glenn E. Morris, Thomas M. Wishart, Thomas H. Gillingwater, Le Thanh Lam, Sally L. Shirran, Emma Humphrey and Nguyen thi Mân and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Heidi R. Fuller

48 papers receiving 1.1k citations

Hit Papers

Mesenchymal stem cell-con... 2010 2026 2015 2020 2010 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Heidi R. Fuller 465 406 221 151 101 50 1.1k
Kye‐Yong Song 269 0.6× 203 0.5× 76 0.3× 275 1.8× 102 1.0× 64 1.1k
Ping Shi 426 0.9× 221 0.5× 115 0.5× 147 1.0× 79 0.8× 77 1.2k
Yan Geng 1.1k 2.3× 136 0.3× 118 0.5× 139 0.9× 116 1.1× 27 1.3k
T. A. Robertson 526 1.1× 93 0.2× 86 0.4× 171 1.1× 87 0.9× 44 959
Han Peng 514 1.1× 76 0.2× 109 0.5× 62 0.4× 64 0.6× 81 1.3k
Amanda L. Hudson 629 1.4× 184 0.5× 93 0.4× 65 0.4× 44 0.4× 40 1.3k
Tomoyuki Nishikawa 560 1.2× 389 1.0× 73 0.3× 313 2.1× 68 0.7× 51 1.4k
Seyed Mahdi Nassiri 450 1.0× 309 0.8× 99 0.4× 287 1.9× 29 0.3× 67 1.3k
H Sugita 968 2.1× 98 0.2× 86 0.4× 70 0.5× 402 4.0× 39 1.3k
Andrei A. Kramerov 536 1.2× 64 0.2× 57 0.3× 70 0.5× 109 1.1× 42 1.4k

Countries citing papers authored by Heidi R. Fuller

Since Specialization
Citations

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

Fields of papers citing papers by Heidi R. Fuller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heidi R. Fuller. 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 Heidi R. Fuller. The network helps show where Heidi R. Fuller may publish in the future.

Co-authorship network of co-authors of Heidi R. Fuller

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

All Works

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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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