Parham Haddadi

909 total citations
20 papers, 504 citations indexed

About

Parham Haddadi is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, Parham Haddadi has authored 20 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 7 papers in Molecular Biology and 2 papers in Biochemistry. Recurrent topics in Parham Haddadi's work include Plant-Microbe Interactions and Immunity (8 papers), Plant Disease Resistance and Genetics (6 papers) and Plant Pathogenic Bacteria Studies (6 papers). Parham Haddadi is often cited by papers focused on Plant-Microbe Interactions and Immunity (8 papers), Plant Disease Resistance and Genetics (6 papers) and Plant Pathogenic Bacteria Studies (6 papers). Parham Haddadi collaborates with scholars based in Canada, France and Iran. Parham Haddadi's co-authors include M. Hossein Borhan, Lisong Ma, Nicholas J. Larkan, Mohammad Djavaheri, Haiyan Wang, Isobel A. P. Parkin, Kaveh Ghanbarnia, W. G. Dilantha Fernando, Wayne E. Clarke and Stephen A. Rolfe and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Parham Haddadi

19 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Parham Haddadi Canada 14 474 126 96 41 24 20 504
Mina Yu China 13 409 0.9× 230 1.8× 113 1.2× 28 0.7× 16 0.7× 43 468
Shanyue Zhou China 10 380 0.8× 126 1.0× 112 1.2× 19 0.5× 18 0.8× 20 422
Xiayan Pan China 11 212 0.4× 122 1.0× 61 0.6× 16 0.4× 14 0.6× 31 250
Mingli Yong China 11 333 0.7× 174 1.4× 95 1.0× 30 0.7× 12 0.5× 21 370
Stella K. Kantartzi United States 14 653 1.4× 72 0.6× 45 0.5× 78 1.9× 52 2.2× 62 687
Kyeongchae Cheong South Korea 10 315 0.7× 142 1.1× 168 1.8× 18 0.4× 11 0.5× 12 378
Javier García‐Andrade Spain 12 629 1.3× 226 1.8× 64 0.7× 12 0.3× 10 0.4× 13 703
Hyeunjeong Song South Korea 10 252 0.5× 113 0.9× 114 1.2× 18 0.4× 13 0.5× 10 311
Francis Rouxel France 12 550 1.2× 88 0.7× 174 1.8× 60 1.5× 4 0.2× 18 590
Qijun Xiang United States 10 415 0.9× 242 1.9× 99 1.0× 46 1.1× 9 0.4× 12 523

Countries citing papers authored by Parham Haddadi

Since Specialization
Citations

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

Fields of papers citing papers by Parham Haddadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parham Haddadi

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

All Works

20 of 20 papers shown
1.
Chatterjee, Aparajita, Parham Haddadi, Naomi H. Philip, et al.. (2025). Topology-driven negative sampling enhances generalizability in protein–protein interaction prediction. Bioinformatics. 41(5).
2.
Haddadi, Parham, Nicholas J. Larkan, Yueqi Zhang, et al.. (2022). Brassica napus genes Rlm4 and Rlm7 , conferring resistance to Leptosphaeria maculans , are alleles of the Rlm9 wall‐associated kinase‐like resistance locus. Plant Biotechnology Journal. 20(7). 1229–1231. 30 indexed citations
3.
Neik, Ting Xiang, Kaveh Ghanbarnia, Bénédicte Ollivier, et al.. (2022). Two independent approaches converge to the cloning of a new Leptosphaeria maculans avirulence effector gene, AvrLmS‐Lep2. Molecular Plant Pathology. 23(5). 733–748. 15 indexed citations
4.
Larkan, Nicholas J., Lisong Ma, Parham Haddadi, et al.. (2020). The Brassica napus wall‐associated kinase‐like (WAKL) gene Rlm9 provides race‐specific blackleg resistance. The Plant Journal. 104(4). 892–900. 58 indexed citations
5.
Haddadi, Parham, Nicholas J. Larkan, & M. Hossein Borhan. (2019). Dissecting R gene and host genetic background effect on the Brassica napus defense response to Leptosphaeria maculans. Scientific Reports. 9(1). 6947–6947. 15 indexed citations
6.
Marchadier, Elodie, Mathieu Hanemian, Sébastien Tisné, et al.. (2019). The complex genetic architecture of shoot growth natural variation in Arabidopsis thaliana. PLoS Genetics. 15(4). e1007954–e1007954. 21 indexed citations
7.
Becker, Michael G., Parham Haddadi, Lorne R. Adam, et al.. (2019). Transcriptome Analysis of Rlm2-Mediated Host Immunity in the Brassica napus–Leptosphaeria maculans Pathosystem. Molecular Plant-Microbe Interactions. 32(8). 1001–1012. 18 indexed citations
8.
9.
Ghanbarnia, Kaveh, Lisong Ma, Nicholas J. Larkan, et al.. (2018). Leptosphaeria maculans AvrLm9: a new player in the game of hide and seek with AvrLm4‐7. Molecular Plant Pathology. 19(7). 1754–1764. 62 indexed citations
10.
Ma, Lisong, Mohammad Djavaheri, Haiyan Wang, et al.. (2018). Leptosphaeria maculans Effector Protein AvrLm1 Modulates Plant Immunity by Enhancing MAP Kinase 9 Phosphorylation. iScience. 3. 177–191. 33 indexed citations
11.
Zhang, Dai, Jiayu He, Parham Haddadi, et al.. (2018). Genome sequence of the potato pathogenic fungus Alternaria solani HWC-168 reveals clues for its conidiation and virulence. BMC Microbiology. 18(1). 176–176. 15 indexed citations
12.
Rolfe, Stephen A., Stephen E. Strelkov, Matthew G. Links, et al.. (2016). The compact genome of the plant pathogen Plasmodiophora brassicae is adapted to intracellular interactions with host Brassica spp. BMC Genomics. 17(1). 272–272. 94 indexed citations
13.
Haddadi, Parham, Lisong Ma, Haiyan Wang, & M. Hossein Borhan. (2015). Genome‐wide transcriptomic analyses provide insights into the lifestyle transition and effector repertoire of Leptosphaeria maculans during the colonization of Brassica napus seedlings. Molecular Plant Pathology. 17(8). 1196–1210. 54 indexed citations
14.
Darvishzadeh, Reza, et al.. (2013). Genetic analysis of partial resistance to basal stem rot (Sclerotinia sclerotiorum) in sunflower. Genetika. 45(3). 737–748. 17 indexed citations
15.
16.
17.
Haddadi, Parham, et al.. (2011). QTL analysis of agronomic traits in recombinant inbred lines of sunflower under partial irrigation. Plant Biotechnology Reports. 5(2). 135–146. 11 indexed citations
18.
Haddadi, Parham, Asa Ebrahimi, Nicolas Langlade, et al.. (2011). Genetic dissection of tocopherol and phytosterol in recombinant inbred lines of sunflower through quantitative trait locus analysis and the candidate gene approach. Molecular Breeding. 29(3). 717–729. 23 indexed citations
19.
Haddadi, Parham, B. Yazdi‐Samadi, Monique Berger, et al.. (2010). Genetic variability of seed-quality traits in gamma-induced mutants of sunflower (Helianthus annuus L.) under water-stressed condition. Euphytica. 178(2). 247–259. 1 indexed citations
20.
Abdollahi, Mohammad Reza, Ahmad Moieni, Parham Haddadi, & Mokhtar Jalali Javaran. (2004). Effects of Heat Shock and Culture Density on the Embryo Induction in Isolated Microspore Culture of Brassica napus L. Cv. Global. Pakistan Journal of Biological Sciences. 8(1). 89–91. 2 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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