Heather R. Shive

42 total papers · 1.0k total citations
27 papers, 674 citations indexed

About

Heather R. Shive is a scholar working on Molecular Biology, Cell Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Heather R. Shive has authored 27 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cell Biology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Heather R. Shive's work include Zebrafish Biomedical Research Applications (6 papers), Epigenetics and DNA Methylation (5 papers) and Sarcoma Diagnosis and Treatment (3 papers). Heather R. Shive is often cited by papers focused on Zebrafish Biomedical Research Applications (6 papers), Epigenetics and DNA Methylation (5 papers) and Sarcoma Diagnosis and Treatment (3 papers). Heather R. Shive collaborates with scholars based in United States, France and China. Heather R. Shive's co-authors include Irene M. Pepperberg, Brad R. Weeks, Masako Andoh, Kasi Russell‐Lodrigue, James E. Samuel, Guoquan Zhang, Robert R. West, Dennis D. Hickstein, Lisa J. Embree and Paul Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Oncogene.

In The Last Decade

Heather R. Shive

25 papers receiving 668 citations

Author Peers

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

Author Last Decade Papers Cites
Heather R. Shive 217 199 132 121 110 27 674
Gwanghun Kim 151 0.7× 165 0.8× 332 2.5× 40 0.3× 130 1.2× 27 752
Rebecca L. Lamason 165 0.8× 182 0.9× 51 0.4× 73 0.6× 74 0.7× 18 559
Shinji Ihara 208 1.0× 83 0.4× 73 0.6× 146 1.2× 53 0.5× 25 642
LeAnn L. Lindsay 186 0.9× 171 0.9× 151 1.1× 36 0.3× 156 1.4× 24 710
Pedro Paulo de Abreu Manso 151 0.7× 122 0.6× 118 0.9× 38 0.3× 98 0.9× 30 586
April Davis 108 0.5× 82 0.4× 239 1.8× 26 0.2× 86 0.8× 36 654
Daniela M. Faust 354 1.6× 120 0.6× 161 1.2× 45 0.4× 27 0.2× 23 687
David Neves 304 1.4× 74 0.4× 37 0.3× 46 0.4× 44 0.4× 29 659
Cheyne Kurokawa 154 0.7× 291 1.5× 256 1.9× 22 0.2× 78 0.7× 17 702
Elton J. R. Vasconcelos 392 1.8× 131 0.7× 65 0.5× 27 0.2× 184 1.7× 50 785

Countries citing papers authored by Heather R. Shive

Since Specialization
Citations

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

Fields of papers citing papers by Heather R. Shive

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heather R. Shive

This figure shows the co-authorship network connecting the top 25 collaborators of Heather R. Shive. A scholar is included among the top collaborators of Heather R. Shive 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 Heather R. Shive. Heather R. Shive 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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