Nima Pakseresht

1.6k total citations
3 papers, 159 citations indexed

About

Nima Pakseresht is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Nima Pakseresht has authored 3 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Plant Science and 1 paper in Ecology. Recurrent topics in Nima Pakseresht's work include Plant Molecular Biology Research (2 papers), Bacterial Identification and Susceptibility Testing (1 paper) and Plant nutrient uptake and metabolism (1 paper). Nima Pakseresht is often cited by papers focused on Plant Molecular Biology Research (2 papers), Bacterial Identification and Susceptibility Testing (1 paper) and Plant nutrient uptake and metabolism (1 paper). Nima Pakseresht collaborates with scholars based in United Kingdom, Denmark and Netherlands. Nima Pakseresht's co-authors include Vincent Moulton, Tamás Dalmay, Simon Moxon, Graham B. Seymour, Kenneth C. Manning, Dale A Shelton, Satoshi Tabata, Suzanne Paquette, Shusei Sato and Trevor L. Wang and has published in prestigious journals such as PLANT PHYSIOLOGY, Planta and Microbial Genomics.

In The Last Decade

Nima Pakseresht

3 papers receiving 155 citations

Peers

Nima Pakseresht
Jeroen Wilmer Netherlands
Jie Shu China
Doh Hoon Kim South Korea
Xinpeng Qi Hong Kong
Jeroen Wilmer Netherlands
Nima Pakseresht
Citations per year, relative to Nima Pakseresht Nima Pakseresht (= 1×) peers Jeroen Wilmer

Countries citing papers authored by Nima Pakseresht

Since Specialization
Citations

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

Fields of papers citing papers by Nima Pakseresht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nima Pakseresht

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

All Works

3 of 3 papers shown
1.
Matamoros, Sébastien, René S. Hendriksen, Bálint Pataki, et al.. (2020). Accelerating surveillance and research of antimicrobial resistance – an online repository for sharing of antimicrobial susceptibility data associated with whole-genome sequences. Microbial Genomics. 6(5). 8 indexed citations
2.
Shelton, Dale A, Lisbeth Mikkelsen, Nima Pakseresht, et al.. (2012). Transcription Factors of Lotus: Regulation of Isoflavonoid Biosynthesis Requires Coordinated Changes in Transcription Factor Activity  . PLANT PHYSIOLOGY. 159(2). 531–547. 65 indexed citations
3.
Moxon, Simon, Nima Pakseresht, Vincent Moulton, et al.. (2007). Identification of novel small RNAs in tomato (Solanum lycopersicum). Planta. 226(3). 709–717. 86 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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