Jeff Harper

3.3k total citations · 2 hit papers
8 papers, 2.5k citations indexed

About

Jeff Harper is a scholar working on Molecular Biology, Plant Science and Spectroscopy. According to data from OpenAlex, Jeff Harper has authored 8 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Spectroscopy. Recurrent topics in Jeff Harper's work include Machine Learning in Bioinformatics (3 papers), Photosynthetic Processes and Mechanisms (3 papers) and Genomics and Phylogenetic Studies (3 papers). Jeff Harper is often cited by papers focused on Machine Learning in Bioinformatics (3 papers), Photosynthetic Processes and Mechanisms (3 papers) and Genomics and Phylogenetic Studies (3 papers). Jeff Harper collaborates with scholars based in United States, Israel and United Kingdom. Jeff Harper's co-authors include Joel A. Kreps, Tong Zhu, Yajun Wu, Xun Wang, Hur‐Song Chang, John M. Ward, Pascal Mäser, Kendal D. Hirschi, Ina N. Talke and Jason Tchieu and has published in prestigious journals such as PLANT PHYSIOLOGY, Trends in Plant Science and Genome biology.

In The Last Decade

Jeff Harper

8 papers receiving 2.4k 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.

Transcriptome Changes for Arabidopsis in Response to Salt, Osmotic, and Cold Stress,

2002 1.2k citations Joel A. Kreps, Yajun Wu et al. PLANT PHYSIOLOGY profile →
Phylogenetic Relationships within Cation Transporter Families of Arabidopsis

2001 947 citations Pascal Mäser, Sébastien Thomine et al. PLANT PHYSIOLOGY profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jeff Harper United States	8	2.1k	1.2k	97	81	70	8	2.5k
Ayako Nishizawa‐Yokoi Japan	21	2.4k 1.1×	2.1k 1.8×	130 1.3×	70 0.9×	75 1.1×	43	3.0k
Xiuli Hu China	26	2.0k 1.0×	1.0k 0.9×	99 1.0×	55 0.7×	48 0.7×	54	2.4k
Klaus Humbeck Germany	27	1.6k 0.7×	1.2k 1.0×	66 0.7×	53 0.7×	32 0.5×	63	2.0k
Aying Zhang China	33	2.8k 1.3×	1.5k 1.3×	76 0.8×	54 0.7×	45 0.6×	58	3.0k
Omar Borsani Uruguay	22	2.9k 1.4×	1.5k 1.3×	65 0.7×	51 0.6×	41 0.6×	59	3.4k
Ana Rus United States	17	2.4k 1.2×	928 0.8×	99 1.0×	29 0.4×	43 0.6×	19	2.8k
Paula Duque Portugal	24	1.6k 0.8×	1.5k 1.3×	60 0.6×	42 0.5×	54 0.8×	43	2.5k
Rohit Joshi India	26	2.3k 1.1×	1.1k 0.9×	130 1.3×	70 0.9×	42 0.6×	89	2.7k
Shiyou Lü China	27	2.3k 1.1×	1.3k 1.1×	81 0.8×	50 0.6×	32 0.5×	77	2.8k

Countries citing papers authored by Jeff Harper

Since Specialization

Citations

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

Fields of papers citing papers by Jeff Harper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeff Harper. 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 Jeff Harper. The network helps show where Jeff Harper may publish in the future.

Co-authorship network of co-authors of Jeff Harper

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Loraine, Ann E., et al.. (2015). Analysis and Visualization of RNA-Seq Expression Data Using RStudio, Bioconductor, and Integrated Genome Browser. Methods in molecular biology. 1284. 481–501. 60 indexed citations

2.

Morsy, Mustafa, Satyanarayana Gouthu, Sandra Orchard, et al.. (2008). Charting plant interactomes: possibilities and challenges. Trends in Plant Science. 13(4). 183–191. 57 indexed citations

3.

Bailey‐Serres, Julia, Ron Mittler, Christian R. Shelton, et al.. (2008). Annotating Genes of Known and Unknown Function by Large-Scale Coexpression Analysis . PLANT PHYSIOLOGY. 147(1). 41–57. 136 indexed citations

4.

Gollery, Martin, et al.. (2007). POFs: what we don’t know can hurt us. Trends in Plant Science. 12(11). 492–496. 31 indexed citations

5.

Gollery, Martin, Jeff Harper, Thomas Girke, et al.. (2006). What makes species unique? The contribution of proteins with obscure features. Genome biology. 7(7). R57–R57. 52 indexed citations

6.

Hegeman, Adrian D., Miguel Ángel Rodríguez-Milla, Byung Woo Han, et al.. (2006). A phyloproteomic characterization of in vitro autophosphorylation in calcium‐dependent protein kinases. PROTEOMICS. 6(12). 3649–3664. 62 indexed citations

7.

Kreps, Joel A., Yajun Wu, Hur‐Song Chang, et al.. (2002). Transcriptome Changes for Arabidopsis in Response to Salt, Osmotic, and Cold Stress,. PLANT PHYSIOLOGY. 130(4). 2129–2141. 1195 indexed citations breakdown →

8.

Mäser, Pascal, Sébastien Thomine, Julian I. Schroeder, et al.. (2001). Phylogenetic Relationships within Cation Transporter Families of Arabidopsis. PLANT PHYSIOLOGY. 126(4). 1646–1667. 947 indexed citations breakdown →

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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