Virginia A. Shepherd

31 total papers · 989 total citations
26 papers, 657 citations indexed

About

Virginia A. Shepherd is a scholar working on Plant Science, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Virginia A. Shepherd has authored 26 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 10 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Virginia A. Shepherd's work include Plant and Biological Electrophysiology Studies (15 papers), Plant Stress Responses and Tolerance (5 papers) and Protist diversity and phylogeny (4 papers). Virginia A. Shepherd is often cited by papers focused on Plant and Biological Electrophysiology Studies (15 papers), Plant Stress Responses and Tolerance (5 papers) and Protist diversity and phylogeny (4 papers). Virginia A. Shepherd collaborates with scholars based in Australia, United States and Japan. Virginia A. Shepherd's co-authors include Mary J. Beilby, A. E. Ashford, David A. Orlovich, P. B. Goodwin, Teruo Shimmen, Mary A. Bisson, David Heslop, Friedrich Rost, N. A. Walker and Anthony W. D. Larkum and has published in prestigious journals such as Journal of Cell Science, Plant Cell & Environment and Planta.

In The Last Decade

Virginia A. Shepherd

26 papers receiving 630 citations

Author Peers

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

Author Last Decade Papers Cites
Virginia A. Shepherd 425 248 94 81 68 26 657
G. Kraepelin 291 0.7× 257 1.0× 28 0.3× 102 1.3× 57 0.8× 55 789
Alma W. Barksdale 178 0.4× 310 1.3× 44 0.5× 233 2.9× 28 0.4× 32 593
Agnieszka Katarzyna Banaś 554 1.3× 422 1.7× 45 0.5× 60 0.7× 64 0.9× 31 751
C. F. Ehret 180 0.4× 384 1.5× 90 1.0× 58 0.7× 47 0.7× 32 772
D. G. Robinson 284 0.7× 476 1.9× 36 0.4× 53 0.7× 37 0.5× 22 687
Geoffrey J. Hyde 318 0.7× 412 1.7× 40 0.4× 54 0.7× 14 0.2× 29 621
K. L. Poff 553 1.3× 516 2.1× 72 0.8× 116 1.4× 14 0.2× 22 793
Toshiko Miura 189 0.4× 122 0.5× 38 0.4× 48 0.6× 118 1.7× 36 767
Hans Moor 114 0.3× 393 1.6× 151 1.6× 36 0.4× 57 0.8× 19 727
R.M. Smillie 421 1.0× 487 2.0× 56 0.6× 80 1.0× 37 0.5× 22 767

Countries citing papers authored by Virginia A. Shepherd

Since Specialization
Citations

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

Fields of papers citing papers by Virginia A. Shepherd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Virginia A. Shepherd. 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 Virginia A. Shepherd. The network helps show where Virginia A. Shepherd may publish in the future.

Co-authorship network of co-authors of Virginia A. Shepherd

This figure shows the co-authorship network connecting the top 25 collaborators of Virginia A. Shepherd. A scholar is included among the top collaborators of Virginia A. Shepherd 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 Virginia A. Shepherd. Virginia A. Shepherd 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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