Vanessa E. McMillan

29 total papers · 442 total citations
13 papers, 278 citations indexed

About

Vanessa E. McMillan is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Vanessa E. McMillan has authored 13 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 6 papers in Cell Biology and 1 paper in Molecular Biology. Recurrent topics in Vanessa E. McMillan's work include Plant-Microbe Interactions and Immunity (7 papers), Plant Pathogens and Fungal Diseases (6 papers) and Plant Disease Resistance and Genetics (6 papers). Vanessa E. McMillan is often cited by papers focused on Plant-Microbe Interactions and Immunity (7 papers), Plant Pathogens and Fungal Diseases (6 papers) and Plant Disease Resistance and Genetics (6 papers). Vanessa E. McMillan collaborates with scholars based in United Kingdom, United States and Switzerland. Vanessa E. McMillan's co-authors include K. E. Hammond‐Kosack, Gail Canning, R. J. Gutteridge, Monica L. Elliott, P.W. Crous, Margarita Hernández‐Restrepo, J.Z. Groenewald, P. R. Hirsch, Zia Mehrabi and Ian M. Clark and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Trends in Plant Science.

In The Last Decade

Vanessa E. McMillan

13 papers receiving 271 citations

Author Peers

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

Author Last Decade Papers Cites
Vanessa E. McMillan 206 78 69 23 17 13 278
Zhixiao Gao 266 1.3× 45 0.6× 71 1.0× 11 0.5× 10 0.6× 15 332
Sheetal Ambardar 124 0.6× 19 0.2× 124 1.8× 25 1.1× 27 1.6× 13 309
Yan Zhou 109 0.5× 44 0.6× 143 2.1× 26 1.1× 15 0.9× 17 270
Jinxin Gao 201 1.0× 76 1.0× 75 1.1× 4 0.2× 8 0.5× 10 298
Julie E. Hernández-Salmerón 171 0.8× 23 0.3× 99 1.4× 4 0.2× 45 2.6× 15 256
Svend Dam 229 1.1× 13 0.2× 131 1.9× 28 1.2× 11 0.6× 10 326
Elena Busti 85 0.4× 32 0.4× 202 2.9× 6 0.3× 71 4.2× 12 301
Mônica Teresa Veneziano Labate 162 0.8× 28 0.4× 147 2.1× 14 0.6× 9 0.5× 21 267
Vattakandy Jasin Rahman 241 1.2× 21 0.3× 76 1.1× 4 0.2× 14 0.8× 13 325
Sangeeta Agarwal 229 1.1× 11 0.1× 135 2.0× 8 0.3× 16 0.9× 9 294

Countries citing papers authored by Vanessa E. McMillan

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa E. McMillan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vanessa E. McMillan. 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 Vanessa E. McMillan. The network helps show where Vanessa E. McMillan may publish in the future.

Co-authorship network of co-authors of Vanessa E. McMillan

This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa E. McMillan. A scholar is included among the top collaborators of Vanessa E. McMillan 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 Vanessa E. McMillan. Vanessa E. McMillan 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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2026