Sarah E. Jones

1.1k total citations · 1 hit paper
11 papers, 720 citations indexed

About

Sarah E. Jones is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Sarah E. Jones has authored 11 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 3 papers in Cell Biology and 2 papers in Molecular Biology. Recurrent topics in Sarah E. Jones's work include Smart Agriculture and AI (3 papers), Plant Pathogens and Fungal Diseases (3 papers) and Remote Sensing in Agriculture (2 papers). Sarah E. Jones is often cited by papers focused on Smart Agriculture and AI (3 papers), Plant Pathogens and Fungal Diseases (3 papers) and Remote Sensing in Agriculture (2 papers). Sarah E. Jones collaborates with scholars based in United States, United Kingdom and Germany. Sarah E. Jones's co-authors include Arti Singh, Koushik Nagasubramanian, Soumik Sarkar, Baskar Ganapathysubramanian, Asheesh K. Singh, Daren S. Mueller, Randolf Menzel, Hai Nguyen, Philipp Norton and Konstantin Lehmann and has published in prestigious journals such as Current Biology, Trends in Plant Science and Crop Science.

In The Last Decade

Sarah E. Jones

10 papers receiving 695 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Plant disease identification using explainable 3D deep learning on hyperspectral images

2019 265 citations Koushik Nagasubramanian, Sarah E. Jones et al. Plant Methods profile →

Peers

Sarah E. Jones

PS

AC

ECOLO

GENET

EEBS

Nicola Harrison United Kingdom

Chao Ruan China

Wancai Liu China

Jordan Ubbens Canada

Charles P.‐C. Suh United States

Georgi Georgiev Bulgaria

John G. Hodge United States

Man‐Miao Yang Taiwan

Huaijian Liao China

Nesreen M. Abd El-Ghany Egypt

Nicola Harrison United Kingdom

Sarah E. Jones

599 ×1.2

PS

283 ×1.3

AC

254 ×1.3

ECOLO

82 ×0.8

GENET

146 ×2.2

EEBS

Citations per year, relative to Sarah E. Jones Sarah E. Jones (= 1×) peers Nicola Harrison

Countries citing papers authored by Sarah E. Jones

Since Specialization

Citations

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

Fields of papers citing papers by Sarah E. Jones

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah E. Jones

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

All Works

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11 of 11 papers shown

1.

Adak, Alper, Dinakaran Elango, Soumyashree Kar, et al.. (2023). Unoccupied aerial systems imagery for phenotyping in cotton, maize, soybean, and wheat breeding. Crop Science. 63(4). 1722–1749. 36 indexed citations

2.

Jones, Sarah E., et al.. (2023). A holistic approach towards a generalizable machine learning predictor of cell penetrating peptides. Australian Journal of Chemistry. 76(8). 493–506.

3.

Jones, Sarah E. & Sarah J. Tracy. (2022). Disciplined Into Hiding: Milk Banking and the “Obscured Organization”. Management Communication Quarterly. 36(3). 520–546. 4 indexed citations

4.

Shook, Johnathon M., Jiaoping Zhang, Sarah E. Jones, et al.. (2021). Meta-GWAS for quantitative trait loci identification in soybean. G3 Genes Genomes Genetics. 11(7). 35 indexed citations

5.

Jones, Sarah E.. (2021). On Family, Fieldwork, and Liquid Gold. Health Communication. 38(1). 181–183. 1 indexed citations

6.

Singh, Arti, Sarah E. Jones, Baskar Ganapathysubramanian, et al.. (2020). Challenges and Opportunities in Machine-Augmented Plant Stress Phenotyping. Trends in Plant Science. 26(1). 53–69. 152 indexed citations

7.

Jones, Sarah E.. (2020). Negotiating Transgender Identity at Work: A Movement to Theorize a Transgender Standpoint Epistemology. Management Communication Quarterly. 34(2). 251–278. 22 indexed citations

8.

Nagasubramanian, Koushik, Sarah E. Jones, Asheesh K. Singh, et al.. (2019). Plant disease identification using explainable 3D deep learning on hyperspectral images. Plant Methods. 15(1). 98–98. 265 indexed citations breakdown →

9.

Nagasubramanian, Koushik, Sarah E. Jones, Soumik Sarkar, et al.. (2018). Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems. Plant Methods. 14(1). 86–86. 116 indexed citations

10.

Jones, Sarah E.. (2013). The Inheritance of Plant and Flower Traits in Rose. OakTrust (Texas A&M University Libraries). 2 indexed citations

11.

Menzel, Randolf, Bernd Fischer, Konstantin Lehmann, et al.. (2011). A Common Frame of Reference for Learned and Communicated Vectors in Honeybee Navigation. Current Biology. 21(8). 645–650. 87 indexed citations

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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