Brian D. Rutter

21 papers receiving 1.4k citations

Brian D. Rutter's Hit Papers

Extracellular Vesicles Isolated from the Leaf Apoplast Carry Stress-Response Proteins 2016 · 472 citations
4720+3+6Years since publication100200300400

Peers

Brian D. Rutter
Comparison fields: 5 of 97
  • Cancer Research 235
  • Endocrinology 85
  • Plant Science 588
  • Molecular Biology 879
  • Infectious Diseases 109
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Baoye He China
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Ahmed Mahas Saudi Arabia
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Countries citing papers authored by Brian D. Rutter

Since Specialization
Citations

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

Fields of papers citing papers by Brian D. Rutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian D. Rutter. 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 Brian D. Rutter. The network helps show where Brian D. Rutter may publish in the future.

Co-authors

The 25 scholars most cited alongside Brian D. Rutter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian D. Rutter Line = papers co-authored together Brian D. Rutter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Extracellular Vesicles Isolated from the Leaf Apoplast Carry Stress-Response Proteins
Hit paper breakdown →
2016472
2 2019221
3 2018199
4 2018146
5 2022111
6 202068
7 201739
8 202222
9 201322
10 202322
11 199520
12 201420
13 202514
14 200513
15 202310
16 20177
17 20156
18 20175
19 19963
20 20173

About Brian D. Rutter

Brian D. Rutter is a scholar working on Molecular Biology, Safety, Risk, Reliability and Quality, Infectious Diseases, Control and Systems Engineering and Cancer Research, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (8 papers), Circular RNAs in diseases (5 papers), Technology Assessment and Management (4 papers), Systems Engineering Methodologies and Applications (4 papers), Viral Infections and Vectors (4 papers), Safety Systems Engineering in Autonomy (3 papers), Design Education and Practice (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (235 citations), Endocrinology (85 citations), Plant Science (588 citations), Molecular Biology (879 citations) and Infectious Diseases (109 citations). Brian D. Rutter has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Roger W. Innes, Hana Zand Karimi, Patricia Baldrich, Blake C. Meyers, Ram Podicheti, Feng Li, Wenbo Ma, Wenwu Ye, Weifeng Gu and Jixian Zhai. Their work appears in journals such as PLANT PHYSIOLOGY, SAE technical papers on CD-ROM/SAE technical paper series, Journal of Extracellular Vesicles, The Plant Cell and Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering.

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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